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Record W3134406730 · doi:10.1093/jcag/gwab002.158

A160 PREVALENCE OF OUTCOME SWITCHING AMONG PUBLISHED PHASE 3 INTERVENTIONAL TRIALS FOR INFLAMMATORY BOWEL DISEASE THERAPEUTICS

2021· article· en· W3134406730 on OpenAlexaff
Rishi Bansal, Rabia Khan, Nikko Gimpaya, Michael A. Scaffidi, Karam Elsolh, Yash Verma, Jinlian Li, Samir C. Grover

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineClinical trialRandomized controlled trialInflammatory bowel diseaseTrial registrationDiseaseInternal medicineSurgeryFamily medicinePediatrics

Abstract

fetched live from OpenAlex

Abstract Background Outcome switching is a well-described form of inconsistent reporting in randomized clinical trials (RCTs), wherein pre-specified primary and/or secondary outcomes are changed between trial registration and the publication of results without explanation. This is of particular concern, as the selective publication of results that are favorable will insert bias into the trial’s results and may cast doubt on the veracity of its findings. While it has been investigated in other disciplines, the prevalence of outcome switching has yet to be described among RCTs for inflammatory bowel disease (IBD). Aims To determine the prevalence of correctly reported pre-specified primary and secondary outcomes in published phase 3 interventional RCTs for IBD. Methods We identified all phase 3 interventional trials for IBD with published results using clinicaltrials.gov. We included all results with an associated publication that detailed the results of the trial. We excluded registrations if: only an abstract of the results was available; trial results were only published as a pooled analysis; multiple trial segments were reported collectively; or a publication of the results could not be identified through clinicaltrials.gov or a custom search. Two reviewers extracted all pre-specified primary and secondary outcomes for each trial using the clinical trial registration page that was dated before the commencement of the trial. These outcomes were compared to the outcomes reported in the corresponding journal articles. Any discrepancies were noted, and additional outcomes were extracted. Results We identified a total of 88 phase 3 interventional RCTs for IBD, of which 57 were matched to independent publications of their results. All trials pre-specified a primary outcome, and 50 (87.7%) pre-specified secondary outcomes. 10 (17.5%) of trials did not report some or all primary outcomes, and 19 (33.3%) trials had a change or alteration to the primary outcome. Of the trials that pre-specified secondary outcomes, 16 (28.1%) did not report all pre-specified secondary outcomes. 49 (86.0%) trials added 6 (IQR: 2–8) unspecified secondary outcomes on average. Conclusions Many phase 3 interventional RCTs in IBD either did not report some or all primary outcomes, or altered the primary outcome. Trials routinely reported additional outcomes that were not pre-specified and failed to note that they were added post hoc. Based on these results, we recommend improvements in the reporting of pre-specified outcomes and higher fidelity in order to maintain confidence in trial results. Funding Agencies None

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 imitation

Not 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.

metaresearch head score (Codex)0.423
metaresearch head score (Gemma)0.775
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: Reporting
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.711

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4230.775
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0270.023
Science and technology studies0.0020.005
Scholarly communication0.0080.007
Open science0.0040.008
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.231
GPT teacher head0.414
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainReporting
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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