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BMC Medical Research Methodology
Debate | Open | Open Peer Review | Published: 14 August 2018
Defining the process to literature searching in systematic reviews: a literature review of guidance and supporting studies
Chris Cooper ORCID: orcid.org/0000-0003-0864-56071,
Andrew Booth2,
Jo Varley-Campbell1,
Nicky Britten3 &
Ruth Garside4
BMC Medical Research Methodologyvolume 18, Article number: 85 (2018) | Download Citation
Systematic literature searching is recognised as a critical component of the systematic review process. It involves a systematic search for studies and aims for a transparent report of study identification, leaving readers clear about what was done to identify studies, and how the findings of the review are situated in the relevant evidence.
Information specialists and review teams appear to work from a shared and tacit model of the literature search process. How this tacit model has developed and evolved is unclear, and it has not been explicitly examined before.
The purpose of this review is to determine if a shared model of the literature searching process can be detected across systematic review guidance documents and, if so, how this process is reported in the guidance and supported by published studies.
A literature review.
Two types of literature were reviewed: guidance and published studies. Nine guidance documents were identified, including: The Cochrane and Campbell Handbooks. Published studies were identified through 'pearl growing', citation chasing, a search of PubMed using the systematic review methods filter, and the authors' topic knowledge.
The relevant sections within each guidance document were then read and re-read, with the aim of determining key methodological stages. Methodological stages were identified and defined. This data was reviewed to identify agreements and areas of unique guidance between guidance documents. Consensus across multiple guidance documents was used to inform selection of 'key stages' in the process of literature searching.
Eight key stages were determined relating specifically to literature searching in systematic reviews. They were: who should literature search, aims and purpose of literature searching, preparation, the search strategy, searching databases, supplementary searching, managing references and reporting the search process.
Eight key stages to the process of literature searching in systematic reviews were identified. These key stages are consistently reported in the nine guidance documents, suggesting consensus on the key stages of literature searching, and therefore the process of literature searching as a whole, in systematic reviews. Further research to determine the suitability of using the same process of literature searching for all types of systematic review is indicated.
Systematic literature searching is recognised as a critical component of the systematic review process. It involves a systematic search for studies and aims for a transparent report of study identification, leaving review stakeholders clear about what was done to identify studies, and how the findings of the review are situated in the relevant evidence.
Information specialists and review teams appear to work from a shared and tacit model of the literature search process. How this tacit model has developed and evolved is unclear, and it has not been explicitly examined before. This is in contrast to the information science literature, which has developed information processing models as an explicit basis for dialogue and empirical testing. Without an explicit model, research in the process of systematic literature searching will remain immature and potentially uneven, and the development of shared information models will be assumed but never articulated.
One way of developing such a conceptual model is by formally examining the implicit "programme theory" as embodied in key methodological texts. The aim of this review is therefore to determine if a shared model of the literature searching process in systematic reviews can be detected across guidance documents and, if so, how this process is reported and supported.
Identifying guidance
Key texts (henceforth referred to as "guidance") were identified based upon their accessibility to, and prominence within, United Kingdom systematic reviewing practice. The United Kingdom occupies a prominent position in the science of health information retrieval, as quantified by such objective measures as the authorship of papers, the number of Cochrane groups based in the UK, membership and leadership of groups such as the Cochrane Information Retrieval Methods Group, the HTA-I Information Specialists' Group and historic association with such centres as the UK Cochrane Centre, the NHS Centre for Reviews and Dissemination, the Centre for Evidence Based Medicine and the National Institute for Clinical Excellence (NICE). Coupled with the linguistic dominance of English within medical and health science and the science of systematic reviews more generally, this offers a justification for a purposive sample that favours UK, European and Australian guidance documents.
Nine guidance documents were identified. These documents provide guidance for different types of reviews, namely: reviews of interventions, reviews of health technologies, reviews of qualitative research studies, reviews of social science topics, and reviews to inform guidance.
Whilst these guidance documents occasionally offer additional guidance on other types of systematic reviews, we have focused on the core and stated aims of these documents as they relate to literature searching. Table 1 sets out: the guidance document, the version audited, their core stated focus, and a bibliographical pointer to the main guidance relating to literature searching.
Table 1 Guidance documents audited for this literature review
Once a list of key guidance documents was determined, it was checked by six senior information professionals based in the UK for relevance to current literature searching in systematic reviews.
Identifying supporting studies
In addition to identifying guidance, the authors sought to populate an evidence base of supporting studies (henceforth referred to as "studies") that contribute to existing search practice. Studies were first identified by the authors from their knowledge on this topic area and, subsequently, through systematic citation chasing key studies ('pearls' [1]) located within each key stage of the search process. These studies are identified in Additional file 1: Appendix Table 1. Citation chasing was conducted by analysing the bibliography of references for each study (backwards citation chasing) and through Google Scholar (forward citation chasing). A search of PubMed using the systematic review methods filter was undertaken in August 2017 (see Additional file 1). The search terms used were: (literature search*[Title/Abstract]) AND sysrev_methods[sb] and 586 results were returned. These results were sifted for relevance to the key stages in Fig. 1 by CC.
The key stages of literature search guidance as identified from nine key texts
Extracting the data
To reveal the implicit process of literature searching within each guidance document, the relevant sections (chapters) on literature searching were read and re-read, with the aim of determining key methodological stages. We defined a key methodological stage as a distinct step in the overall process for which specific guidance is reported, and action is taken, that collectively would result in a completed literature search.
The chapter or section sub-heading for each methodological stage was extracted into a table using the exact language as reported in each guidance document. The lead author (CC) then read and re-read these data, and the paragraphs of the document to which the headings referred, summarising section details. This table was then reviewed, using comparison and contrast to identify agreements and areas of unique guidance. Consensus across multiple guidelines was used to inform selection of 'key stages' in the process of literature searching.
Having determined the key stages to literature searching, we then read and re-read the sections relating to literature searching again, extracting specific detail relating to the methodological process of literature searching within each key stage. Again, the guidance was then read and re-read, first on a document-by-document-basis and, secondly, across all the documents above, to identify both commonalities and areas of unique guidance.
We were able to identify consensus across the guidance on literature searching for systematic reviews suggesting a shared implicit model within the information retrieval community. Whilst the structure of the guidance varies between documents, the same key stages are reported, even where the core focus of each document is different. We were able to identify specific areas of unique guidance, where a document reported guidance not summarised in other documents, together with areas of consensus across guidance.
Unique guidance
Only one document provided guidance on the topic of when to stop searching [2]. This guidance from 2005 anticipates a topic of increasing importance with the current interest in time-limited (i.e. "rapid") reviews. Quality assurance (or peer review) of literature searches was only covered in two guidance documents [3, 4]. This topic has emerged as increasingly important as indicated by the development of the PRESS instrument [5]. Text mining was discussed in four guidance documents [4, 6,7,8] where the automation of some manual review work may offer efficiencies in literature searching [8].
Agreement between guidance: Defining the key stages of literature searching
Where there was agreement on the process, we determined that this constituted a key stage in the process of literature searching to inform systematic reviews.
From the guidance, we determined eight key stages that relate specifically to literature searching in systematic reviews. These are summarised at Fig. 1. The data extraction table to inform Fig. 1 is reported in Table 2. Table 2 reports the areas of common agreement and it demonstrates that the language used to describe key stages and processes varies significantly between guidance documents.
Table 2 The order of literature search methods as presented in the guidance documents
For each key stage, we set out the specific guidance, followed by discussion on how this guidance is situated within the wider literature.
Key stage one: Deciding who should undertake the literature search
The guidance
Eight documents provided guidance on who should undertake literature searching in systematic reviews [2, 4, 6,7,8,9,10,11]. The guidance affirms that people with relevant expertise of literature searching should 'ideally' be included within the review team [6]. Information specialists (or information scientists), librarians or trial search co-ordinators (TSCs) are indicated as appropriate researchers in six guidance documents [2, 7,8,9,10,11].
How the guidance corresponds to the published studies
The guidance is consistent with studies that call for the involvement of information specialists and librarians in systematic reviews [12,13,14,15,16,17,18,19,20,21,22,23,24,25,26] and which demonstrate how their training as 'expert searchers' and 'analysers and organisers of data' can be put to good use [13] in a variety of roles [12, 16, 20, 21, 24,25,26]. These arguments make sense in the context of the aims and purposes of literature searching in systematic reviews, explored below. The need for 'thorough' and 'replicable' literature searches was fundamental to the guidance and recurs in key stage two. Studies have found poor reporting, and a lack of replicable literature searches, to be a weakness in systematic reviews [17, 18, 27, 28] and they argue that involvement of information specialists/ librarians would be associated with better reporting and better quality literature searching. Indeed, Meert et al. [29] demonstrated that involving a librarian as a co-author to a systematic review correlated with a higher score in the literature searching component of a systematic review [29]. As 'new styles' of rapid and scoping reviews emerge, where decisions on how to search are more iterative and creative, a clear role is made here too [30].
Knowing where to search for studies was noted as important in the guidance, with no agreement as to the appropriate number of databases to be searched [2, 6]. Database (and resource selection more broadly) is acknowledged as a relevant key skill of information specialists and librarians [12, 15, 16, 31].
Whilst arguments for including information specialists and librarians in the process of systematic review might be considered self-evident, Koffel and Rethlefsen [31] have questioned if the necessary involvement is actually happening [31].
Key stage two: Determining the aim and purpose of a literature search
The aim: Five of the nine guidance documents use adjectives such as 'thorough', 'comprehensive', 'transparent' and 'reproducible' to define the aim of literature searching [6,7,8,9,10]. Analogous phrases were present in a further three guidance documents, namely: 'to identify the best available evidence' [4] or 'the aim of the literature search is not to retrieve everything. It is to retrieve everything of relevance' [2] or 'A systematic literature search aims to identify all publications relevant to the particular research question' [3]. The Joanna Briggs Institute reviewers' manual was the only guidance document where a clear statement on the aim of literature searching could not be identified. The purpose of literature searching was defined in three guidance documents, namely to minimise bias in the resultant review [6, 8, 10]. Accordingly, eight of nine documents clearly asserted that thorough and comprehensive literature searches are required as a potential mechanism for minimising bias.
The need for thorough and comprehensive literature searches appears as uniform within the eight guidance documents that describe approaches to literature searching in systematic reviews of effectiveness. Reviews of effectiveness (of intervention or cost), accuracy and prognosis, require thorough and comprehensive literature searches to transparently produce a reliable estimate of intervention effect. The belief that all relevant studies have been 'comprehensively' identified, and that this process has been 'transparently' reported, increases confidence in the estimate of effect and the conclusions that can be drawn [32]. The supporting literature exploring the need for comprehensive literature searches focuses almost exclusively on reviews of intervention effectiveness and meta-analysis. Different 'styles' of review may have different standards however; the alternative, offered by purposive sampling, has been suggested in the specific context of qualitative evidence syntheses [33].
What is a comprehensive literature search?
Whilst the guidance calls for thorough and comprehensive literature searches, it lacks clarity on what constitutes a thorough and comprehensive literature search, beyond the implication that all of the literature search methods in Table 2 should be used to identify studies. Egger et al. [34], in an empirical study evaluating the importance of comprehensive literature searches for trials in systematic reviews, defined a comprehensive search for trials as:
a search not restricted to English language;
where Cochrane CENTRAL or at least two other electronic databases had been searched (such as MEDLINE or EMBASE); and
at least one of the following search methods has been used to identify unpublished trials: searches for (I) conference abstracts, (ii) theses, (iii) trials registers; and (iv) contacts with experts in the field [34].
Tricco et al. (2008) used a similar threshold of bibliographic database searching AND a supplementary search method in a review when examining the risk of bias in systematic reviews. Their criteria were: one database (limited using the Cochrane Highly Sensitive Search Strategy (HSSS)) and handsearching [35].
Together with the guidance, this would suggest that comprehensive literature searching requires the use of BOTH bibliographic database searching AND supplementary search methods.
Comprehensiveness in literature searching, in the sense of how much searching should be undertaken, remains unclear. Egger et al. recommend that 'investigators should consider the type of literature search and degree of comprehension that is appropriate for the review in question, taking into account budget and time constraints' [34]. This view tallies with the Cochrane Handbook, which stipulates clearly, that study identification should be undertaken 'within resource limits' [9]. This would suggest that the limitations to comprehension are recognised but it raises questions on how this is decided and reported [36].
What is the point of comprehensive literature searching?
The purpose of thorough and comprehensive literature searches is to avoid missing key studies and to minimize bias [6, 8, 10, 34, 37,38,39] since a systematic review based only on published (or easily accessible) studies may have an exaggerated effect size [35]. Felson (1992) sets out potential biases that could affect the estimate of effect in a meta-analysis [40] and Tricco et al. summarize the evidence concerning bias and confounding in systematic reviews [35]. Egger et al. point to non-publication of studies, publication bias, language bias and MEDLINE bias, as key biases [34, 35, 40,41,42,43,44,45,46]. Comprehensive searches are not the sole factor to mitigate these biases but their contribution is thought to be significant [2, 32, 34]. Fehrmann (2011) suggests that 'the search process being described in detail' and that, where standard comprehensive search techniques have been applied, increases confidence in the search results [32].
Does comprehensive literature searching work?
Egger et al., and other study authors, have demonstrated a change in the estimate of intervention effectiveness where relevant studies were excluded from meta-analysis [34, 47]. This would suggest that missing studies in literature searching alters the reliability of effectiveness estimates. This is an argument for comprehensive literature searching. Conversely, Egger et al. found that 'comprehensive' searches still missed studies and that comprehensive searches could, in fact, introduce bias into a review rather than preventing it, through the identification of low quality studies then being included in the meta-analysis [34]. Studies query if identifying and including low quality or grey literature studies changes the estimate of effect [43, 48] and question if time is better invested updating systematic reviews rather than searching for unpublished studies [49], or mapping studies for review as opposed to aiming for high sensitivity in literature searching [50].
Aim and purpose beyond reviews of effectiveness
The need for comprehensive literature searches is less certain in reviews of qualitative studies, and for reviews where a comprehensive identification of studies is difficult to achieve (for example, in Public health) [33, 51,52,53,54,55]. Literature searching for qualitative studies, and in public health topics, typically generates a greater number of studies to sift than in reviews of effectiveness [39] and demonstrating the 'value' of studies identified or missed is harder [56], since the study data do not typically support meta-analysis. Nussbaumer-Streit et al. (2016) have registered a review protocol to assess whether abbreviated literature searches (as opposed to comprehensive literature searches) has an impact on conclusions across multiple bodies of evidence, not only on effect estimates [57] which may develop this understanding. It may be that decision makers and users of systematic reviews are willing to trade the certainty from a comprehensive literature search and systematic review in exchange for different approaches to evidence synthesis [58], and that comprehensive literature searches are not necessarily a marker of literature search quality, as previously thought [36]. Different approaches to literature searching [37, 38, 59,60,61,62] and developing the concept of when to stop searching are important areas for further study [36, 59].
The study by Nussbaumer-Streit et al. has been published since the submission of this literature review [63]. Nussbaumer-Streit et al. (2018) conclude that abbreviated literature searches are viable options for rapid evidence syntheses, if decision-makers are willing to trade the certainty from a comprehensive literature search and systematic review, but that decision-making which demands detailed scrutiny should still be based on comprehensive literature searches [63].
Key stage three: Preparing for the literature search
Six documents provided guidance on preparing for a literature search [2, 3, 6, 7, 9, 10]. The Cochrane Handbook clearly stated that Cochrane authors (i.e. researchers) should seek advice from a trial search co-ordinator (i.e. a person with specific skills in literature searching) 'before' starting a literature search [9].
Two key tasks were perceptible in preparing for a literature searching [2, 6, 7, 10, 11]. First, to determine if there are any existing or on-going reviews, or if a new review is justified [6, 11]; and, secondly, to develop an initial literature search strategy to estimate the volume of relevant literature (and quality of a small sample of relevant studies [10]) and indicate the resources required for literature searching and the review of the studies that follows [7, 10].
Three documents summarised guidance on where to search to determine if a new review was justified [2, 6, 11]. These focused on searching databases of systematic reviews (The Cochrane Database of Systematic Reviews (CDSR) and the Database of Abstracts of Reviews of Effects (DARE)), institutional registries (including PROSPERO), and MEDLINE [6, 11]. It is worth noting, however, that as of 2015, DARE (and NHS EEDs) are no longer being updated and so the relevance of this (these) resource(s) will diminish over-time [64]. One guidance document, 'Systematic reviews in the Social Sciences', noted, however, that databases are not the only source of information and unpublished reports, conference proceeding and grey literature may also be required, depending on the nature of the review question [2].
Two documents reported clearly that this preparation (or 'scoping') exercise should be undertaken before the actual search strategy is developed [7, 10]).
The guidance offers the best available source on preparing the literature search with the published studies not typically reporting how their scoping informed the development of their search strategies nor how their search approaches were developed. Text mining has been proposed as a technique to develop search strategies in the scoping stages of a review although this work is still exploratory [65]. 'Clustering documents' and word frequency analysis have also been tested to identify search terms and studies for review [66, 67]. Preparing for literature searches and scoping constitutes an area for future research.
Key stage four: Designing the search strategy
The Population, Intervention, Comparator, Outcome (PICO) structure was the commonly reported structure promoted to design a literature search strategy. Five documents suggested that the eligibility criteria or review question will determine which concepts of PICO will be populated to develop the search strategy [1, 4, 7,8,9]. The NICE handbook promoted multiple structures, namely PICO, SPICE (Setting, Perspective, Intervention, Comparison, Evaluation) and multi-stranded approaches [4].
With the exclusion of The Joanna Briggs Institute reviewers' manual, the guidance offered detail on selecting key search terms, synonyms, Boolean language, selecting database indexing terms and combining search terms. The CEE handbook suggested that 'search terms may be compiled with the help of the commissioning organisation and stakeholders' [10].
The use of limits, such as language or date limits, were discussed in all documents [2,3,4, 6,7,8,9,10,11].
Search strategy structure
The guidance typically relates to reviews of intervention effectiveness so PICO – with its focus on intervention and comparator - is the dominant model used to structure literature search strategies [68]. PICOs – where the S denotes study design - is also commonly used in effectiveness reviews [6, 68]. As the NICE handbook notes, alternative models to structure literature search strategies have been developed and tested. Booth provides an overview on formulating questions for evidence based practice [69] and has developed a number of alternatives to the PICO structure, namely: BeHEMoTh (Behaviour of interest; Health context; Exclusions; Models or Theories) for use when systematically identifying theory [55]; SPICE (Setting, Perspective, Intervention, Comparison, Evaluation) for identification of social science and evaluation studies [69] and, working with Cooke and colleagues, SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) [70]. SPIDER has been compared to PICO and PICOs in a study by Methley et al. [68].
The NICE handbook also suggests the use of multi-stranded approaches to developing literature search strategies [4]. Glanville developed this idea in a study by Whitting et al. [71] and a worked example of this approach is included in the development of a search filter by Cooper et al. [72].
Writing search strategies: Conceptual and objective approaches
Hausner et al. [73] provide guidance on writing literature search strategies, delineating between conceptually and objectively derived approaches. The conceptual approach, advocated by and explained in the guidance documents, relies on the expertise of the literature searcher to identify key search terms and then develop key terms to include synonyms and controlled syntax. Hausner and colleagues set out the objective approach [73] and describe what may be done to validate it [74].
The use of limits
The guidance documents offer direction on the use of limits within a literature search. Limits can be used to focus literature searching to specific study designs or by other markers (such as by date) which limits the number of studies returned by a literature search. The use of limits should be described and the implications explored [34] since limiting literature searching can introduce bias (explored above). Craven et al. have suggested the use of a supporting narrative to explain decisions made in the process of developing literature searches and this advice would usefully capture decisions on the use of search limits [75].
Key stage five: Determining the process of literature searching and deciding where to search (bibliographic database searching)
Table 2 summarises the process of literature searching as reported in each guidance document. Searching bibliographic databases was consistently reported as the 'first step' to literature searching in all nine guidance documents.
Three documents reported specific guidance on where to search, in each case specific to the type of review their guidance informed, and as a minimum requirement [4, 9, 11]. Seven of the key guidance documents suggest that the selection of bibliographic databases depends on the topic of review [2,3,4, 6,7,8, 10], with two documents noting the absence of an agreed standard on what constitutes an acceptable number of databases searched [2, 6].
The guidance documents summarise 'how to' search bibliographic databases in detail and this guidance is further contextualised above in terms of developing the search strategy. The documents provide guidance of selecting bibliographic databases, in some cases stating acceptable minima (i.e. The Cochrane Handbook states Cochrane CENTRAL, MEDLINE and EMBASE), and in other cases simply listing bibliographic database available to search. Studies have explored the value in searching specific bibliographic databases, with Wright et al. (2015) noting the contribution of CINAHL in identifying qualitative studies [76], Beckles et al. (2013) questioning the contribution of CINAHL to identifying clinical studies for guideline development [77], and Cooper et al. (2015) exploring the role of UK-focused bibliographic databases to identify UK-relevant studies [78]. The host of the database (e.g. OVID or ProQuest) has been shown to alter the search returns offered. Younger and Boddy [79] report differing search returns from the same database (AMED) but where the 'host' was different [79].
The average number of bibliographic database searched in systematic reviews has risen in the period 1994–2014 (from 1 to 4) [80] but there remains (as attested to by the guidance) no consensus on what constitutes an acceptable number of databases searched [48]. This is perhaps because thinking about the number of databases searched is the wrong question, researchers should be focused on which databases were searched and why, and which databases were not searched and why. The discussion should re-orientate to the differential value of sources but researchers need to think about how to report this in studies to allow findings to be generalised. Bethel (2017) has proposed 'search summaries', completed by the literature searcher, to record where included studies were identified, whether from database (and which databases specifically) or supplementary search methods [81]. Search summaries document both yield and accuracy of searches, which could prospectively inform resource use and decisions to search or not to search specific databases in topic areas. The prospective use of such data presupposes, however, that past searches are a potential predictor of future search performance (i.e. that each topic is to be considered representative and not unique). In offering a body of practice, this data would be of greater practicable use than current studies which are considered as little more than individual case studies [82,83,84,85,86,87,88,89,90].
When to database search is another question posed in the literature. Beyer et al. [91] report that databases can be prioritised for literature searching which, whilst not addressing the question of which databases to search, may at least bring clarity as to which databases to search first [91]. Paradoxically, this links to studies that suggest PubMed should be searched in addition to MEDLINE (OVID interface) since this improves the currency of systematic reviews [92, 93]. Cooper et al. (2017) have tested the idea of database searching not as a primary search method (as suggested in the guidance) but as a supplementary search method in order to manage the volume of studies identified for an environmental effectiveness systematic review. Their case study compared the effectiveness of database searching versus a protocol using supplementary search methods and found that the latter identified more relevant studies for review than searching bibliographic databases [94].
Key stage six: Determining the process of literature searching and deciding where to search (supplementary search methods)
Table 2 also summaries the process of literature searching which follows bibliographic database searching. As Table 2 sets out, guidance that supplementary literature search methods should be used in systematic reviews recurs across documents, but the order in which these methods are used, and the extent to which they are used, varies. We noted inconsistency in the labelling of supplementary search methods between guidance documents.
Rather than focus on the guidance on how to use the methods (which has been summarised in a recent review [95]), we focus on the aim or purpose of supplementary search methods.
The Cochrane Handbook reported that 'efforts' to identify unpublished studies should be made [9]. Four guidance documents [2, 3, 6, 9] acknowledged that searching beyond bibliographic databases was necessary since 'databases are not the only source of literature' [2]. Only one document reported any guidance on determining when to use supplementary methods. The IQWiG handbook reported that the use of handsearching (in their example) could be determined on a 'case-by-case basis' which implies that the use of these methods is optional rather than mandatory. This is in contrast to the guidance (above) on bibliographic database searching.
The issue for supplementary search methods is similar in many ways to the issue of searching bibliographic databases: demonstrating value. The purpose and contribution of supplementary search methods in systematic reviews is increasingly acknowledged [37, 61, 62, 96,97,98,99,100,101] but understanding the value of the search methods to identify studies and data is unclear. In a recently published review, Cooper et al. (2017) reviewed the literature on supplementary search methods looking to determine the advantages, disadvantages and resource implications of using supplementary search methods [95]. This review also summarises the key guidance and empirical studies and seeks to address the question on when to use these search methods and when not to [95]. The guidance is limited in this regard and, as Table 2 demonstrates, offers conflicting advice on the order of searching, and the extent to which these search methods should be used in systematic reviews.
Key stage seven: Managing the references
Five of the documents provided guidance on managing references, for example downloading, de-duplicating and managing the output of literature searches [2, 4, 6, 8, 10]. This guidance typically itemised available bibliographic management tools rather than offering guidance on how to use them specifically [2, 4, 6, 8]. The CEE handbook provided guidance on importing data where no direct export option is available (e.g. web-searching) [10].
The literature on using bibliographic management tools is not large relative to the number of 'how to' videos on platforms such as YouTube (see for example [102]). These YouTube videos confirm the overall lack of 'how to' guidance identified in this study and offer useful instruction on managing references. Bramer et al. set out methods for de-duplicating data and reviewing references in Endnote [103, 104] and Gall tests the direct search function within Endnote to access databases such as PubMed, finding a number of limitations [105]. Coar et al. and Ahmed et al. consider the role of the free-source tool, Zotero [106, 107]. Managing references is a key administrative function in the process of review particularly for documenting searches in PRISMA guidance.
Key stage eight: Documenting the search
The Cochrane Handbook was the only guidance document to recommend a specific reporting guideline: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [9]. Six documents provided guidance on reporting the process of literature searching with specific criteria to report [3, 4, 6, 8,9,10]. There was consensus on reporting: the databases searched (and the host searched by), the search strategies used, and any use of limits (e.g. date, language, search filters (The CRD handbook called for these limits to be justified [6])). Three guidance documents reported that the number of studies identified should be recorded [3, 6, 10]. The number of duplicates identified [10], the screening decisions [3], a comprehensive list of grey literature sources searched (and full detail for other supplementary search methods) [8], and an annotation of search terms tested but not used [4] were identified as unique items in four documents.
The Cochrane Handbook was the only guidance document to note that the full search strategies for each database should be included in the Additional file 1 of the review [9].
All guidance documents should ultimately deliver completed systematic reviews that fulfil the requirements of the PRISMA reporting guidelines [108]. The guidance broadly requires the reporting of data that corresponds with the requirements of the PRISMA statement although documents typically ask for diverse and additional items [108]. In 2008, Sampson et al. observed a lack of consensus on reporting search methods in systematic reviews [109] and this remains the case as of 2017, as evidenced in the guidance documents, and in spite of the publication of the PRISMA guidelines in 2009 [110]. It is unclear why the collective guidance does not more explicitly endorse adherence to the PRISMA guidance.
Reporting of literature searching is a key area in systematic reviews since it sets out clearly what was done and how the conclusions of the review can be believed [52, 109]. Despite strong endorsement in the guidance documents, specifically supported in PRISMA guidance, and other related reporting standards too (such as ENTREQ for qualitative evidence synthesis, STROBE for reviews of observational studies), authors still highlight the prevalence of poor standards of literature search reporting [31, 110,111,112,113,114,115,116,117,118,119]. To explore issues experienced by authors in reporting literature searches, and look at uptake of PRISMA, Radar et al. [120] surveyed over 260 review authors to determine common problems and their work summaries the practical aspects of reporting literature searching [120]. Atkinson et al. [121] have also analysed reporting standards for literature searching, summarising recommendations and gaps for reporting search strategies [121].
One area that is less well covered by the guidance, but nevertheless appears in this literature, is the quality appraisal or peer review of literature search strategies. The PRESS checklist is the most prominent and it aims to develop evidence-based guidelines to peer review of electronic search strategies [5, 122, 123]. A corresponding guideline for documentation of supplementary search methods does not yet exist although this idea is currently being explored.
How the reporting of the literature searching process corresponds to critical appraisal tools is an area for further research. In the survey undertaken by Radar et al. (2014), 86% of survey respondents (153/178) identified a need for further guidance on what aspects of the literature search process to report [120]. The PRISMA statement offers a brief summary of what to report but little practical guidance on how to report it [108]. Critical appraisal tools for systematic reviews, such as AMSTAR 2 (Shea et al. [124]) and ROBIS (Whiting et al. [125]), can usefully be read alongside PRISMA guidance, since they offer greater detail on how the reporting of the literature search will be appraised and, therefore, they offer a proxy on what to report [124, 125]. Further research in the form of a study which undertakes a comparison between PRISMA and quality appraisal checklists for systematic reviews would seem to begin addressing the call, identified by Radar et al., for further guidance on what to report [120].
Other handbooks exist
A potential limitation of this literature review is the focus on guidance produced in Europe (the UK specifically) and Australia. We justify the decision for our selection of the nine guidance documents reviewed in this literature review in section "Identifying guidance". In brief, these nine guidance documents were selected as the most relevant health care guidance that inform UK systematic reviewing practice, given that the UK occupies a prominent position in the science of health information retrieval. We acknowledge the existence of other guidance documents, such as those from North America (e.g. the Agency for Healthcare Research and Quality (AHRQ) [126], The Institute of Medicine [127] and the guidance and resources produced by the Canadian Agency for Drugs and Technologies in Health (CADTH) [128]). We comment further on this directly below.
The handbooks are potentially linked to one another
What is not clear is the extent to which the guidance documents inter-relate or provide guidance uniquely. The Cochrane Handbook, first published in 1994, is notably a key source of reference in guidance and systematic reviews beyond Cochrane reviews. It is not clear to what extent broadening the sample of guidance handbooks to include North American handbooks, and guidance handbooks from other relevant countries too, would alter the findings of this literature review or develop further support for the process model. Since we cannot be clear, we raise this as a potential limitation of this literature review. On our initial review of a sample of North American, and other, guidance documents (before selecting the guidance documents considered in this review), however, we do not consider that the inclusion of these further handbooks would alter significantly the findings of this literature review.
This is a literature review
A further limitation of this review was that the review of published studies is not a systematic review of the evidence for each key stage. It is possible that other relevant studies could help contribute to the exploration and development of the key stages identified in this review.
This literature review would appear to demonstrate the existence of a shared model of the literature searching process in systematic reviews. We call this model 'the conventional approach', since it appears to be common convention in nine different guidance documents.
The findings reported above reveal eight key stages in the process of literature searching for systematic reviews. These key stages are consistently reported in the nine guidance documents which suggests consensus on the key stages of literature searching, and therefore the process of literature searching as a whole, in systematic reviews.
In Table 2, we demonstrate consensus regarding the application of literature search methods. All guidance documents distinguish between primary and supplementary search methods. Bibliographic database searching is consistently the first method of literature searching referenced in each guidance document. Whilst the guidance uniformly supports the use of supplementary search methods, there is little evidence for a consistent process with diverse guidance across documents. This may reflect differences in the core focus across each document, linked to differences in identifying effectiveness studies or qualitative studies, for instance.
Eight of the nine guidance documents reported on the aims of literature searching. The shared understanding was that literature searching should be thorough and comprehensive in its aim and that this process should be reported transparently so that that it could be reproduced. Whilst only three documents explicitly link this understanding to minimising bias, it is clear that comprehensive literature searching is implicitly linked to 'not missing relevant studies' which is approximately the same point.
Defining the key stages in this review helps categorise the scholarship available, and it prioritises areas for development or further study. The supporting studies on preparing for literature searching (key stage three, 'preparation') were, for example, comparatively few, and yet this key stage represents a decisive moment in literature searching for systematic reviews. It is where search strategy structure is determined, search terms are chosen or discarded, and the resources to be searched are selected. Information specialists, librarians and researchers, are well placed to develop these and other areas within the key stages we identify.
This review calls for further research to determine the suitability of using the conventional approach. The publication dates of the guidance documents which underpin the conventional approach may raise questions as to whether the process which they each report remains valid for current systematic literature searching. In addition, it may be useful to test whether it is desirable to use the same process model of literature searching for qualitative evidence synthesis as that for reviews of intervention effectiveness, which this literature review demonstrates is presently recommended best practice.
BeHEMoTh:
Behaviour of interest; Health context; Exclusions; Models or Theories
CDSR:
Cochrane Database of Systematic Reviews
Cochrane CENTRAL:
The Cochrane Central Register of Controlled Trials
DARE:
Database of Abstracts of Reviews of Effects
ENTREQ:
Enhancing transparency in reporting the synthesis of qualitative research
IQWiG:
Institute for Quality and Efficiency in Healthcare
NICE:
National Institute for Clinical Excellence
PICO:
Population, Intervention, Comparator, Outcome
SPICE:
Setting, Perspective, Intervention, Comparison, Evaluation
SPIDER:
Sample, Phenomenon of Interest, Design, Evaluation, Research type
STROBE:
STrengthening the Reporting of OBservational studies in Epidemiology
TSC:
Trial Search Co-ordinators
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CADTH: Resources 2018.
CC acknowledges the supervision offered by Professor Chris Hyde.
This publication forms a part of CC's PhD. CC's PhD was funded through the National Institute for Health Research (NIHR) Health Technology Assessment (HTA) Programme (Project Number 16/54/11). The open access fee for this publication was paid for by Exeter Medical School.
RG and NB were partially supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South West Peninsula.
The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
Institute of Health Research, University of Exeter Medical School, Exeter, UK
& Jo Varley-Campbell
HEDS, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
Andrew Booth
Nicky Britten
European Centre for Environment and Human Health, University of Exeter Medical School, Truro, UK
Ruth Garside
Search for Chris Cooper in:
Search for Andrew Booth in:
Search for Jo Varley-Campbell in:
Search for Nicky Britten in:
Search for Ruth Garside in:
CC conceived the idea for this study and wrote the first draft of the manuscript. CC discussed this publication in PhD supervision with AB and separately with JVC. CC revised the publication with input and comments from AB, JVC, RG and NB. All authors revised the manuscript prior to submission. All authors read and approved the final manuscript.
Correspondence to Chris Cooper.
Appendix tables and PubMed search strategy. Key studies used for pearl growing per key stage, working data extraction tables and the PubMed search strategy. (DOCX 30 kb)
Data collection, quality, and reporting


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only £55,100 in comparison to £64,000 just three years ago.
of base salary, performance related pay and overall benefits.
caught up with the South East.
accredited and non-accredited business schools may vary by as much as £14,000.
we in the UK have been experiencing for some time.


text:
Success! Shaban from Tanzania raised $633 to fund tonsil surgery.
$633 raised, $0 to go
Shaban's treatment was fully funded on January 7, 2019.
Shaban's story
Shaban's update
Shaban underwent tonsil surgery.
Doctors successfully removed the enlarged tonsils that were making him fall sick regularly.
Shaban's father says, "Thank you for bringing happiness back to my son through this surgery he can now eat and sleep soundly. Thank you very much."
Doctors successfully removed the enlarged tonsils that were making him fall sick regularly. Shaban's father says, "Thank you for bringing...
Shaban is a boy from Tanzania. He is the youngest in a family of three children.
Recently, Shaban has been experiencing a sore throat. He also experiences recurrent fevers. Shaban was recently diagnosed with enlarged tonsils, which, if not treated, will cause his symptoms to persist and possibly intensify over time.
Our medical partner, African Mission Healthcare Foundation, is requesting $633 to fund a tonsillectomy for Shaban, which is scheduled to take place on November 2. Surgeons will remove his tonsils, hopefully relieving Shaban of his symptoms and helping him live more comfortably.
Shaban's father says, "I would like for my son to be able to sleep soundly, eat better, and be happy."
Shaban is a boy from Tanzania. He is the youngest in a family of three children. Recently, Shaban has been experiencing a sore throat. He...
Shaban's case was submitted by Robert Kariuki at African Mission Healthcare Foundation in Tanzania.
Shaban's Timeline
Shaban was submitted by Robert Kariuki, Process Coordinator at African Mission Healthcare Foundation, our medical partner in Tanzania.
Shaban received treatment at Arusha Lutheran Medical Centre (ALMC). Medical partners often provide care to patients accepted by Watsi before those patients are fully funded, operating under the guarantee that the cost of care will be paid for by donors.
Shaban's profile was published to start raising funds.
Shaban's treatment was successful. Read the update.
Shaban's treatment was fully funded.
Share Shaban's story
Tonsilectomy
On average, it costs $633 for Shaban's treatment
Rwaribugire is a farmer from Uganda. Rwaribugire is married with six children and all are married but peasants and self-employed. Both he and his wife practice small scale farming to earn living. Rwaribugire reported a painful scrotal swelling for two years. He reports it being painful and disfiguring as it has affected his movements. Rwaribugire traveled to our medical partner's care center to receive treatment. On December 17th, surgeons will remove the mass. Now, Rwaribugire needs help to raise $187 to fund this procedure. Rwaribugire says, "I look forward to having a better life after surgery and I will continue with cultivation."
$15raised
Srun is a 72-year-old rice farmer from Cambodia. She has two daughters, two grandchildren, and enjoys listening to the monks pray on the radio in her free time. Five months ago, Srun developed a cataract in her right eye, causing her irritation, pain, and blurry vision. She has difficulty seeing things clearly, recognizing faces, and going anywhere outside. When Srun learned about our medical partner, Children's Surgical Centre, she traveled for four and a half hours seeking treatment. On November 19, doctors will perform a small incision cataract surgery and an intraocular lens implant in her right eye. After recovery, she will be able to see clearly. Now, she needs help to fund this $211 procedure. Srun said, "I hope that I will be able to go outside on my own again and help to take care of my grandchildren."
Heng is a 49-year-old vegetable farmer from Cambodia. She has three sons and one daughter, and enjoys watching television and cooking food for her family. Four years ago, Heng had an ear infection. This infection caused the tympanic membrane, or the ear drum, in her left ear to perforate. For this reason, Heng experiences discharge, tinnitus, and hearing loss. She is unable to hear others clearly and cannot communicate well. Heng traveled to our medical partner's care center to receive treatment. On December 10th, she will undergo a myringoplasty procedure in her left ear. During this procedure, surgeons will close the perforation. Our medical partner, Children's Surgical Centre, is requesting $423 to fund this procedure. This covers medications, supplies, and inpatient care. "I hope that my surgery will eliminate my ear infection and I will no longer have any ear discharge," Heng said.

redpajama_set_name: RedPajamaCommonCrawl


text:
Opinions 15:45, 06-Jul-2018
Opinion: US tariffs will end up in failure
Updated 14:49, 09-Jul-2018
He Weiwen
["china"]
Editor's note: He Weiwen is a senior fellow at the Center for China and Globalization. The article reflects the author's opinion, and not necessarily the views of CGTN.
The Trump administration has imposed a 25-percent tariff on 818 import items worth 34 billion US dollars from China on Friday. China immediately retaliated by imposing a levy of the same scale, placing a 25-percent tariff on the same volume (34 billion US dollars) of imports from the US. The Chinese Ministry of Commerce said in a statement that the US has started the "largest trade war in economic history." The trade volume immediately dwarfed the similar US tariff wars with Canada and the EU.
Why China must take retaliatory tariffs?
First, there is no tolerance in the World Trade Organization (WTO) for rules violation. The very base of the US tariff measure – Section 301 investigation on China is a blunt violation of WTO rules.
In 1998, the United States Trade Representative (USTR) launched a probe under Section 301 of the Trade Act of 1974 on the EU. The European bloc then resorted to WTO on the USTR violation of WTO dispute settlement mechanisms (DSM), and the US lost the case. Then the USTR promised not to recourse to such unilateral moves anymore.
Twenty years later, the USTR forgot its promise and made the same violation. Again, unilateral tariffs are also banned under WTO rules, as tariff levels are set by multilateral negotiations, not by unilateral government decisions.
The global free trade and multilateral trade mechanism are facing the biggest danger ever seen since the Great Depression in the 1930s. The current US action of unilateral tariffs on China, EU, Canada, Russia and other economies have far exceeded the tariff issue.
These moves serve as the prelude of a total challenge to the rule-based multilateral trade mechanism with WTO at its center. Trump has repeatedly said it will quit WTO, or at least change WTO into a new mechanism based on American First rules, taking the whole world trade and economy into a new disintegration.
June 29, 2018: US President Donald Trump speaks to the press aboard Air Force One in flight as he travels from Joint Base Andrews in Maryland, to Bedminster, New Jersey. /VCG Photo
If China does not fight back resolutely, together with EU and other WTO members, China will not be a responsible major power defending free trade and multilateralism.
Second, there is no yield in China's right of development. The checklist of 818 items of Chinese exports to the US subject to the 25-percent additional tariff fall in precisely the 10 major sectors of "Made in China 2025" framework, with an overt purpose to stop China's advance in new emerging and high technologies.
China, as a sovereign state, has its own right of development, and has no other choice but to firmly reject any yield to the US interests.
The above-mentioned two principles are also known as China's baseline.
Could China stand the trade war?
China will undoubtedly incur losses by the two-way 25-percent tariffs. However, the No. 1 consideration is not the loss calculation, but the baseline. If the Trump administration keeps on escalating the trade war, China will fight to the finish.
Many analysis articles tend to elaborate the losses by US tariffs on China only. As a matter of fact, the US import tariffs hurt not only the exporting country, but the US itself as well. In many cases, the US end users and consumers will suffer more.
July 5, 2018: Spokesman of China's Ministry of Commerce speaks at a regular press conference. /VCG Photo
The Washington Post reported on June 20 that a group of Congressmen complained to Wilbur Ross on the first American casualties of the tariff measures. Senator Charles Grassley (IW) said that "The soybean market has started to collapse."
Senator Rob Portman (OH) warned that steel and auto producers in Ohio had been "hit harder than any other state by the Canadian tariff." Senator Patrick Toomey said that Kraft-Heinz may move its ketchup production to Canada to avoid retaliatory tariffs.
The Mid-Continental Nail, the American largest nail producer, has also announced it may shut down after Labor Day, or move to Mexico. Harley-Davidson, the leading American motorcycle manufacturer, has announced plans to move part of its capacity to the EU to avoid its retaliatory tariffs, and was later joined by Polaris, another American motorcycle producer.
Ironically, The Trump administration's tariff measures, claiming to help moving manufacturing back to the US, are working alarmingly well in the opposite direction.
The Alliance of American Automotive Manufacturers has estimated that the 25-percent auto tariff will lead to a 5,800-US-dollar price hike on each car, costing the consumers an additional burden of 45 billion US dollars.
The Peterson Institute of International Economies has estimated that the auto tariffs will lead to a 1.5-percent fall in American auto output over one to three years, shedding 195,000 jobs. The number may increase to 624,000 if the EU takes countermeasures.
June 12, 2018: An American flag flies near General Motors Co. signage outside the company's Renaissance Center world headquarters complex in Detroit, Michigan, US. /VCG Photo
AIIS, the largest American steel trade association, has sued the Trump Administration in the US Court of International Trade claiming that its Section 232 investigation on steel and aluminum violates the US Constitution.
Recent history shows that the US tariffs on imports usually hurt the American importers, downstream users and consumers more than the exporters. In 2001, the steel import tariff surcharges imposed by President George W. Bush led to massive protests across various sectors of the US.
The Port Authority of Delaware claimed that its 7,000 longshoremen might lose their jobs, while the downstream sectors, including auto manufacturing and construction were facing a 10-percent cost rise.
The tariff protected 20,000 jobs in several steel production factories, but cost 200,000 jobs in other sectors. President Bush finally called off the move, not only because the US lost the case at WTO, but also, and more compellingly, by the net loss at home.
Wilbur Ross, the US Commerce Secretary, has shrugged all those warnings, holding that the total trade volume covered by tariff measures is less than 0.1 percent of the US economy. This is a serious misjudgment.
Ross only compares the direct trade volume with the total GDP, thus seems unaware of all the related sectors. For instance, US imports from China roughly supports 4.6 million jobs in America. His judgment is apparently out of common knowledge.
In conclusion, the US' unilateral trade war, which has prompted China and other trading partners to either strike back or threaten to take action, has caused and will continue to cause serious damages to the US economy and will end up in failure sooner or later.


Depart from Marrakech at 7h 20 in the morning, by crossing through the High Atlas mountains by way of the Tizi n'Tichka pass at an elevation of 2260 metres. Visit the ksar Ait Ben Haddou and then lunch in Ouarzazate, with time to visit the kasbah there. We will then travel through the Skoura Oasis, and Kalaat M'gouna – the valley of the roses, to reach Dades. Overnight in Dades in a hotel including dinner and breakfast.
First visit of the day will be to the Dades Gorge. Following that we will travel to Merzouga, first visiting the Valley of the Thousand Kasbahs, Tinghir where you will have a chance to visit the Kasbah, the Todra Gorges, the towns of Rissani and Erfoud, and the Tifilalt Oasis. Overnight is at Camp Le Tradition, a two hour camel ride from Merzouga. There you will be able to admire the sunset. Over-night is at the camp and includes dinner.
Depart from Merzouga to Fez after breakfast .


Easy walking distance to Waikiki Beach, Restaurants, Supermarket (Food Pantry) and the International Marketplace.
In the room, there is kitchenettes, balconies, and wireless Internet access. Swimming pool is located on the top floor. Convenient place for people who willing to stay long. There is pubic parking.


Native community tools. Choose to add a fully white-labeled, native, and private discussion board to any activity. Choose to enable a course-level forum where learners within a course can discuss free-form topics. Learners can choose a profile image and display name for participation within the community.
Integrate GoToTraining sessions into your education program. Sync your GoToTraining sessions into Northpass and associate them with courses to enable learners to attend relevant training sessions.
New Single Sign-on option optimized for the most seamless learner experience. Authenticate learners through URL parameters. No user action or credentials required. This method of SSO is recommended when a frictionless sign up process is preferred over security of ensuring learner identity. Contact us to discuss if this is the right strategy for your school.
API endpoint to query enrollments and progress for a given learner.
Choose the number of times a learner can retake a quiz. Optionally choose to hide the correct answers. Learners also see a display summary of their correct answers at the end of a quiz.
Optionally set the maximum dimensions of an activity. For example, set the maximum size of a video that may not support a large size at high resolution.
Additional metadata sent to Customer.io on course enrollment triggers: Link to course and course short description.
Disallow deleting the correct answer on a quiz.
Adding an activity in a course was causing the navigation activity sidebar to scroll to the top.
When creating a new activity in a course, an additional blank activity was being created.
In the Syllabus Builder, the SCORM selector in an activity was displaying the most recently selected SCORM file name.
Fix bug in Syllabus Builder where removing an embed code didn't remove the video.
Added loading indicator to Syllabus Builder to prevent activity content from flashing while loading.
Upgrade underlying Syllabus Builder framework to address bugs and improve stability.


When you bid on a keyword, AdWords gives you tools to check to see if it is a duplicate to your other keywords. In analyzing our clients' search term report data, however, we found a very different situation where keywords are definitely competing against one another and the result is often not very good. I'll explain, but first, let me weigh in on the much-discussed topic of duplicate keywords competing.
Is It Bad to Have Competing Keywords?
I have read many blogs where pundits rage that if you have duplicate keywords in your campaigns, they compete against one another and drive costs up. "A battle against yourself" one article says. Well, as Google actually says, one of the keywords will end up getting most of the impressions, so it is more an analytics issue that makes analysis and management more difficult.
In fact, all your keywords compete against one another. When a user does a search, Google looks at all your keywords and selects the single most appropriate keyword for the auction to gain an ad spot on the search results page. That is, AdWords selects the one keyword from each advertiser that it decides is best to enter into the auction against the other advertisers. So, yes, all your keywords are competing against one another for every click and the winner goes into the auction. But, that is good – AdWords is using its algorithms to select what it thinks is your most appropriate keyword for the particular search query. If you have two keywords that are duplicates, since the match of the words in the keywords to the words in the search query is the same, the AdWords selection would be based on other factors such as ad group click-through-rate (CTR), bid, etc. And, most of the time, the same keyword would be selected as the best.
Since the auction with competing advertisers is where the cost is determined, and you only have a single keyword entered in the auction, your duplicate keywords do not drive the cost up. That said, having duplicates does make it more difficult to analyze the keyword CPC, conversion rate, etc. Deleting duplicates is a good idea, but hardly a critical problem that many warn about.
What I am talking about here, though, is distinct—not duplicate—keywords in your campaigns that are competing to be AdWords' choice for the competitive auction. With your understanding of your shoppers and your catalog, you probably would have a preference for which keyword you would want to be the winner. The problem, though, is simple – it is not your choice, Google chooses. And this happens all the time. But without automated analytic tools, it is very hard to detect and understand.
Let's take a simple example. Say you sell athletic shoes and your campaign includes both the keywords +womens +nike +shoes and +blue +nike +shoes. Now, a shopper searches on Google for "womens blue nike shoes". What happens? Both your keywords have 3 of the 4 words in the search query. So, Google chooses what it thinks is best based on other criteria.
Is the Selection of One of These Keywords Really Better than the Other?
What would be the effect of the selection of one or the other keyword?
If AdWords selects womens nike shoes as the matching keyword, only about 10% of the items the shopper is shown are available in blue. Is it easy for her to set the filter? Or will the shopper not see blue Nike's and just bounce? And you know that, if she was using her mobile, she sees fewer items and the process of finding and setting filters is harder and takes even more clicks.
If AdWords selects blue nike shoes as the matching keyword, about 20% are for women. Much better, but not great. Can the shopper tell by the item names? Is it easy to set the filter on that page for Women?
Now that we understand the situation, I'll tell you what actually happens for this search with this major online e-commerce shoe retailer. Search for womens blue nike shoes, you see the ad "Women's Nikes at …", click and land at the destination of Women's Nike shoes. Not bad, but, as we saw, only a small number of the items shown are in blue.
And, surprisingly, when I tried the very similar search for womens blue nike athletic shoes, the story was different and not at all what I expected — the destination was the Nike shop with all Nike items – clothes, shoes, bags, accessories for men, women and kids. A significantly worse destination for the shopper.
The problem is, even if you know that you would prefer one keyword over the other in this situation, you don't control the choice. And it is hard to know the conflicts without detailed analysis of the search term report to see what is actually matching and what is not.
The obvious solution is actually the simplest one – once you see that there actually is an issue by analyzing actual searches and the matches in the search term reports, you know the long-tail keyword that solves the problem and puts you in control.
In the above case, you would add the long-tail keyword +womens +blue +nike +shoes. The long-tail keyword is both a better match to the search query and let's you decide on the optimal destination landing page on your site. In addition, the long-tail keyword captures the entire intent of the shopper's search so that you can show exactly the items you carry that your shopper is looking for.
Need a solution for discovering long-tail keywords and for optimizing the destination landing pages for every keyword? Vioby's LinkDirector automates that using semantic understanding and machine-learning algorithms and have delivered 20% to 30% improvement in conversion rate in deployments for our clients.
If you think this could help your campaigns, just let me know and I would be glad to tell you more. Click here to learn more about our products.


1. In a bowl, add poha, salt and turmeric powder. Add water and soak for 10 minutes.
2. Heat oil in a pan. Add mustard seeds, urad dal, besan dal and let them sizzle.
3. Add peanut, cashew nut and fry until golden brown.
4. Add curry leaves, green chillies, ginger, onion and saute.
5. Add poha and cook well.
6. Add grated carrot, grated coconut and finely chopped coriander leaves. Mix well.
7. Add jeera-pepper powder. Mix well.


This review first appeared on the Mumbai Edition of The Hindu.
Baar Baar Dekho has been in the spotlight since last week, when the music video of the remix of 'Kaala Chashma ', featuring the movie's leads— Katrina Kaif and Siddharth Malhotra — hit the Internet. The video has already clocked 25 million views in seven days.
The hype around the song and a song-based movie title aside, the fact remains that this is a multi-composer soundtrack (five sets of composers for six songs) and such albums don't often become blockbusters. Will this buck the trend?
Badshah's recreation of Prem Hardeep's superhit ' Kaala Chashma ' carries on with the recent Bollywood habit of adapting Punjabi hits. Incidentally, a lot of these adaptations come with Badshah's signature. However, in this case they have picked up an older song and the nostalgia does work big time in the song's favour. But, to the composer's credit, he does add a lot of his own elements even while retaining the good bits from the original. While the tumbi and Amar Arshi's singing are the prominent survivors from Hardeep's version, Badshah adds female vocals (Neha Kakkar) and his own rap (of course), alongside Indeep Bakshi. Most of it works, and the overall result is engaging.
A second song adaptation in the soundtrack is ' Teri Khair Mangdi '. Pakistani musician Bilal Saeed presents a variant of his own song from the 2012 album Twelve . Not much seems to have changed in the movie version except for removal of the rap section and the inclusion of some Hindi lines from Kumaar (the original Punjabi lines are by Bilal himself). It makes one curious about what led to the selection of this song from across the border. Nothing special going on here; the tune is dated and the singing ordinary.
Arko, on the other hand, has a good thing going with ' Dariya '; his melody is quite likeable and the breezy arrangement goes nicely with it. However, it is his own jarringly processed vocals that play spoilsport.
Composer number four, Amaal Mallik, starts off promisingly with the sprightly prelude of mandolins and banjos, before quickly turning into another ' Sooraj Dooba Hai ' (from the film Roy , 2015). Unfortunately, the composer seems to be making one clone of that song in each movie he does of late. The energy in the song, helped also by the singing of Neeti Mohan and Armaan Malik, is infectious enough to make the track an enjoyable one all the same.
But, it is Jasleen Kaur Royal who delivers two of the best tracks. ' Nachde Ne Saare ' is an incredibly fun, Punjabi-flavoured dance track that carries an Amit Trivedi-ish vibe about it. Royal layers the song with happy and wacky sounds that go well with Aditya Sharma's quirky lines and also plays supporting vocalist as Harshdeep Kaur and Siddharth Mahadevan lead the rendition in style.
The final song, ' Kho Gaye Hum Kahan ' features another indie musician: the greatly talented Prateek Kuhad (if you are not familiar with his work, please go listen to In Tokens and Charms immediately; it is available on Soundcloud) as lyricist and singer. And this song too works the way his songs generally do (aided by Royal's simple arrangement and singing), generating that warm and fuzzy feeling inside. Lovely song, this!
Occasional hiccups aside, Baar Baar Dekho has some fairly entertaining music with the young lady Jasleen Kaur Royal taking the top honours.