Journal of clinical epidemiology
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Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. ⋯ The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).
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Meta-analyses of biomarkers often present spurious significant results and large effects. We applied sensitivity analyses with the use of credibility ceilings to assess whether and how the results of meta-analyses of biomarkers and cancer risk would change. ⋯ Credibility ceilings may be helpful in meta-analyses of biomarkers to understand the robustness of the results to different levels of uncertainty.
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Systematic reviews are an integral component of evidence-based health care. However, little is known on how well they report the potential harms of interventions. We assessed the reporting of harms in recently published systematic reviews of interventions relevant to clinical gastroenterology. ⋯ The reporting of harms in gastroenterology systematic reviews is largely inadequate and highly asymmetrical compared with the reporting of benefits. We suggest that review authors routinely assess both efficacy and harms outcomes of an intervention and that reporting guidelines specifically targeting harms reporting be developed.