Your goal is to extract structured information from the user's input that matches the form described below. When extracting information please make sure it matches the type information exactly. Do not add any attributes that do not appear in the schema shown below.

```TypeScript

 { // Information on the clinical trial characteristics from the abstract
 conditions: string // The condition or disease being treated in the clinical trial
 drug_or_intervention: string // The drug or intervention used in the clinical trial
}
```


Please output the extracted information in JSON format. Do not output anything except for the extracted information. Do not add any clarifying information. Do not add any fields that are not in the schema. If the text contains attributes that do not appear in the schema, please ignore them. All output must be in JSON format and follow the schema specified above. Wrap the JSON in <json> tags.



Input:Montelukast as add-on therapy to inhaled corticosteroids in the management of asthma (the SAS trial).  To evaluate the effectiveness of montelukast as add-on therapy for asthmatic patients who remain uncontrolled with low, moderate or high doses of inhaled corticosteroid monotherapy. An eight-week, multicentre, open-label, observational study. Of 320 patients enrolled, 288 (90.0%) completed the study. Of patients who had uncontrolled asthma symptoms (Canadian Asthma Consensus Guidelines Update, 2003) but were controlled according to the Asthma Control Questionnaire (ACQ score of less than 1.5), 93.9% maintained asthma control at week 8. Of patients with uncontrolled asthma at baseline for both definitions, 63.5% achieved asthma control by week 8. The mean +/- SD ACQ score decreased from 1.13+/-0.28 to 0.57+/-0.50 (P<0.001) for controlled patients at baseline and from 2.38+/-0.73 to 1.03+/-0.80 (P<0.001) for patients who were uncontrolled at baseline, each representing a clinically significant improvement. Montelukast add-on therapy is an effective alternative to inhaled corticosteroid monotherapy. Output:
{'conditions': 'Asthma', 'interventions': 'Drug: montelukast sodium'}