Confounding by indication of the safety of de-escalation in community-acquired pneumonia: A simulation study embedded in a prospective cohort.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset comprises a part of the data collected for the CAPiTA trial. Only patients and variables that are included for the current analysis are made publicly.  Data from 1325 included patients is stored, all data are anonymized and individuals are coded with a unique number' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["clinical stability","Community-acquired pneumonia (CAP)","confounding by indication","de-escalation","mortality"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset comprises a part of the data collected for the CAPiTA trial. Only patients and variables that are included for the current analysis are made publicly.  Data from 1325 included patients is stored, all data are anonymized and individuals are coded with a unique number' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset comprises a part of the data collected for the CAPiTA trial. Only patients and variables that are included for the current analysis are made publicly.  Data from 1325 included patients is stored, all data are anonymized and individuals are coded with a unique number
clinical stability; Community-acquired pneumonia (CAP); confounding by indication; de-escalation; mortality