Publication of Sports Medicine–Related Randomized Controlled Trials Registered in ClinicalTrials.gov
Bibliographic record
Abstract
BACKGROUND: There is increasing evidence that a significant proportion of randomized trials in medicine, and recently in orthopaedics, do not go on to publication. PURPOSE: The objectives of this study were (1) to determine publication rates of randomized controlled trials in sports medicine that have been registered with ClinicalTrials.gov (CTG) and (2) to compare the registration summaries of randomized trials on CTG with final published manuscripts on pertinent methodological variables. STUDY DESIGN: Systematic review. METHODS: Two independent investigators searched ClinicalTrials.gov for all closed and completed trials related to sports medicine until June 2009 using a text search strategy. The authors then searched for publications resulting from these registered trials in peer-reviewed journals that are indexed with MEDLINE and/or EMBASE as of February 2012 based on study authors and key words provided in the study protocol. Details of primary outcomes and secondary outcomes, study sponsors, and sample size were extracted and compared between registrations and publications. RESULTS: Of 34 closed and completed trials registered on CTG, there were 20 resultant publications in peer-reviewed journals (58.8%). There was no significant relationship between source of funding and rate of publication (P > .05). The authors found a discrepancy between the CTG registration summary and the manuscript in at least one methodological variable (primary/secondary outcomes, inclusion/exclusion criteria, sample size) in 16 of 20 (80.0%) articles and a discrepancy in the primary outcome in 8 of 20 (40.0%) published trials. CONCLUSION: Although registration of sports medicine trials in CTG does not consistently result in publication or disclosure of results at 32 months from the time of study completion, observed publication rates are higher than in other orthopaedic subspecialties. Changes are also frequently made to the final presentation of eligibility criteria and primary and secondary outcomes that are not reflected in the registered trial data.
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 | 0.266 | 0.575 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.028 | 0.047 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.057 | 0.019 |
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".