Evaluating Completeness of Reporting in Behavioral Interventions Pilot Trials
Bibliographic record
Abstract
Purpose: This systematic survey evaluates the completeness of reporting in pilot and feasibility randomized controlled trials investigating behavioral interventions based on the Consolidated Standards of Reporting Trials (CONSORT) extension for pilot trials. Methods: The authors searched Medline/Pubmed and randomly selected 100 articles from 2012 through 2016 to determine the proportion of reported CONSORT extension items. They examined study factors related to reporting, including year and country of publication, psychotherapy intervention, multiple centers, industry funding, and journal endorsement of CONSORT. Results: The authors found that the mean reporting score on the CONSORT extension was 51.6% ( SD = 15.1). Studies of psychotherapy interventions had significantly higher reporting scores than other interventions (incidence rate ratio = 1.10, 95% confidence interval: 1.01–1.20). Conclusions: Our findings indicate that current reporting quality is suboptimal. Many included trials failed to provide rationale for piloting, assess feasibility objectives, or indicate clear progression to a future large trial. Reporting quality should be reevaluated following uptake of the 2016 CONSORT extension for pilot trials.
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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 | 0.831 | 0.933 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.009 | 0.018 |
| Bibliometrics | 0.017 | 0.018 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".