Editverse: TIDieR checklist worked example

TIDieR Checklist: All 12 Items Applied to a Real Trial Intervention

A trial can report a clean effect and still be impossible to repeat, because readers cannot tell what was actually delivered. The TIDieR checklist (Template for Intervention Description and Replication) closes that gap by asking authors to state 12 things about an intervention, from its name to how closely delivery matched the plan. Hoffmann and colleagues published it in the BMJ in 2014 as an…

Editverse: TRIPOD+AI Checklist

TRIPOD+AI Checklist: The 27 Items Applied to a Real Open-Access Model

The TRIPOD+AI checklist is the reporting standard that journals now expect when a manuscript develops or evaluates a clinical prediction model, whether the model uses logistic regression or a random forest. Published in the BMJ in April 2024 by Collins and colleagues, it holds 27 numbered items, replaces the 2015 TRIPOD checklist, and asks for details that older papers never gave, such as fairness, code…

RoB 2 risk of bias tool guide covering five domains, signalling questions and a worked example

RoB 2 Risk of Bias Tool: Five Domains, Signalling Questions and a Worked Example

.evrob-wrap{overflow-x:auto !important;margin:22px 0 !important;}.evrob-table{border-collapse:collapse !important;width:100% !important;min-width:520px !important;}.evrob-table th{background-color:#0d2137 !important;color:#ffffff !important;padding:10px 12px !important;text-align:left !important;border:1px solid #cddaea !important;font-size:0.92rem !important;}.evrob-table td{background-color:#ffffff !important;color:#1a1a1a !important;padding:9px 12px !important;border:1px solid #cddaea !important;vertical-align:top !important;font-size:0.92rem !important;}.evrob-table tr:nth-child(even) td{background-color:#f0f5fa !important;}.evrob-cap{margin:6px 0 0 0 !important;font-size:0.85rem !important;color:#1a1a1a !important;} The RoB 2 risk of bias tool is the revised Cochrane instrument for judging whether the result of a randomized trial can be trusted. Sterne and colleagues published it…