REporting quality of PilOt randomised controlled trials in surgery (REPORTS): a methodological survey protocol
Bibliographic record
Abstract
INTRODUCTION: The aim of this methodological review is to evaluate the completeness of reporting of surgical pilot and feasibility randomised trials as per the Consolidated Standards of Reporting Trials (CONSORT) extension to randomised pilot and feasibility trials. Moreover, we aim to assess for the presence of spin reporting and inconsistency between abstract and main text reporting in surgical pilot and feasibility randomised trials. METHODS AND ANALYSIS: A comprehensive, electronic search strategy will be used to identify studies indexed in Medline, Embase and Cochrane Central Register of Controlled Trials (CENTRAL) databases. Studies will be included if they are pilot or feasibility randomised trials of surgical interventions. The primary outcome will be overall CONSORT statement extension to randomised pilot and feasibility trials checklist completeness. This will be defined as trials reporting each of the 40 items in the CONSORT statement extension to randomised pilot and feasibility trials checklist. Secondary outcomes will include the reporting of individual studies as per the CONSORT extension to randomised pilot and feasibility trials, the use of spin reporting strategies, trial factors associated with reporting quality and spin strategy use, and consistency between abstract and main text reporting. Poisson and logistic regressions will be performed to explore the association between trial factors and completeness of reporting as measured by the number of reported CONSORT items. ETHICS AND DISSEMINATION: This is a methodological survey that has been registered a priori on the International Prospective Register for Systematic Reviews (PROSPERO) (CRD42023475512). Local ethics approval is not required. We plan to disseminate study results through peer-reviewed publication and conference presentations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.677 | 0.698 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.010 | 0.015 |
| Bibliometrics | 0.020 | 0.019 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.025 | 0.015 |
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".