Two alternatives versus the standard Grading of Recommendations Assessment, Development and Evaluation (GRADE) summary of findings (SoF) tables to improve understanding in the presentation of systematic review results: a three-arm, randomised, controlled, non-inferiority trial
Bibliographic record
Abstract
OBJECTIVE: Summary of findings (SoF) tables present results of systematic reviews in a concise and explicit format. Adopted by many review groups including the Cochrane Collaboration and the Agency for Healthcare Research and Quality (AHRQ), optimal understanding of SoF table may be influenced by the type of information being conveyed and objectives or preferences of the end user. This study aims to compare three SoF table formats in terms of understanding, accessibility, satisfaction and preference with systematic review users. METHODS: The primary objective of this three-arm randomised controlled non-inferiority trial is to investigate whether an alternative Grading of Recommendations Assessment, Development and Evaluation (GRADE) SoF table or Evidence-based Practice Center SoF table is non-inferior to the current GRADE SoF table in the understanding of the information presented to systematic review users, particularly for descriptive findings. Researchers, clinical practice guideline developers, policy-makers or knowledge transfer professionals will be recruited. Data will be collected electronically at baseline and after randomisation. Non-inferiority would be declared if the difference in the proportion of participants who understand the information displayed in the alternative SoF table is 10% or less. ETHICS AND DISSEMINATION: The Hamilton Integrated Research Ethics Board reviewed this protocol. The findings from this study will be disseminated through a publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: NCT02813941.
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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 | 0.193 | 0.455 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.013 | 0.026 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".