A Comparison of the Quality of Cochrane Reviews and Systematic Reviews Published in Paper-Based Journals
Bibliographic record
Abstract
This study set out to compare Cochrane reviews and reviews published in paper-based journals. Two assessment tools were used to collect the data, a 23-item checklist developed by Sacks and a nine-item scale developed by Oxman. Cochrane reviews were found to be better at reporting some items and paper-based review at reporting others. The overall quality was found to be low. This represents a serious situation because clinicians, health policy makers, and consumers are often told that systematic reviews represent "the best available evidence." In the period since this study, the Cochrane Collaboration has taken steps to improve the quality of its reviews through, for example, more thorough prepublication refereeing, developments in the training and support offered to reviewers, and improvements in the system for postpublication peer review. In addition, the use of evidence-based criteria (i.e., the QUOROM statement) for reporting systematic reviews may help further to improve their quality.
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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 | 0.423 | 0.854 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.015 |
| Bibliometrics | 0.090 | 0.092 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".