Journal of clinical epidemiology
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Effective collaboration and mentorship are essential to success in a career of health research. We summarize our conversation with Dr. John Ioannidis, professor at Stanford University, author of the most accessed manuscript in the history of the Public Library of Science, and one of the most cited scientists in history. ⋯ Ioannidis was invited for a question and answer session as part of a graduate-level course on biostatistical collaboration hosted at McMaster University in December 2020. This text provides insight into the experiences and pearls he shared, that we hope will inspire and guide other researchers early or junior in their careers. He emphasized the importance of passion, enthusiasm and a sincere pursuit for high quality research as being the cornerstones to success and continued productivity in this field.
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To systematically identify the strategy and frequency of spin in reports of bariatric surgery randomized controlled trials (RCTs) with statistically nonsignificant primary endpoint. ⋯ Spin occurred in a high proportion of bariatric surgery RCTs with a statistically nonsignificant primary endpoint.
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GRADE Guidance: 31. Assessing the certainty across a body of evidence for comparative test accuracy.
This article provides GRADE guidance on how authors of evidence syntheses and health decision makers, including guideline developers, can rate the certainty across a body of evidence for comparative test accuracy questions. ⋯ This GRADE guidance will support transparent assessment of the certainty for a body of comparative test accuracy evidence.
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This study developed, calibrated, and evaluated a machine learning classifier designed to reduce study identification workload in Cochrane for producing systematic reviews. ⋯ The Cochrane RCT Classifier can reduce manual study identification workload for Cochrane Reviews, with a very low and acceptable risk of missing eligible RCTs. This classifier now forms part of the Evidence Pipeline, an integrated workflow deployed within Cochrane to help improve the efficiency of the study identification processes that support systematic review production.
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To examine whether the use of natural language processing (NLP) technology is effective in assisting rapid title and abstract screening when updating a systematic review. ⋯ NLP technology using the ensemble learning method may effectively assist in rapid literature screening when updating systematic reviews.