Completeness of reporting of randomised controlled trials including people with transient ischaemic attack or stroke: A systematic review
Bibliographic record
Abstract
PURPOSE: To assess the adherence of stroke randomised controlled trials to Consolidated Standards Of Reporting Trials reporting guidelines and investigate the factors that are associated with completeness of reporting. METHOD: We took a random sample from the Cochrane Stroke Group's Trial Register of transient ischaemic attack or stroke randomised controlled trials, published in English in 1997-2016 inclusive. Two reviewers assessed the published report of the final primary results of stroke randomised controlled trials with a 10-point truncated Consolidated Standards Of Reporting Trials reporting checklist to investigate adherence over time, univariable associations and independent associations with total Consolidated Standards Of Reporting Trials reporting score in a multiple linear regression model. FINDINGS: In this random sample of 177 stroke randomised controlled trials, the mean score on the truncated Consolidated Standards Of Reporting Trials checklist was 5.8 (SD 2.2); reporting improved from 1997-2000 (4.9 SD 2.0) to 2001-2009 (5.8 SD 2.1) and to 2010-2016 (6.8 SD 2.1). A higher Consolidated Standards Of Reporting Trials score was independently associated with publication during epochs following a revision of Consolidated Standards Of Reporting Trials reporting guidelines (p < 0.001), journal endorsement of the Consolidated Standards Of Reporting Trials reporting guideline at the time of randomised controlled trial publication (p < 0.001) and modified journal impact factor using median citation distribution (p = 0.012). DISCUSSION: Stroke randomised controlled trial reporting to Consolidated Standards Of Reporting Trials standards has improved over time, but could be better. CONCLUSION: Registered with PROSPERO (CRD42017072193).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.573 | 0.870 |
| Meta-epidemiology (narrow) | 0.002 | 0.005 |
| Meta-epidemiology (broad) | 0.013 | 0.015 |
| Bibliometrics | 0.021 | 0.027 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".