Conflicts of Interest in Inflammatory Bowel Disease Articles on UpToDate
Bibliographic record
Abstract
Abstract Background Financial conflicts of interest (FCOIs) are widespread in inflammatory bowel disease (IBD) and may be particularly important in point-of-care (POC) resources, such as UpToDate, that are used to aid clinical decision making. In this study, we determined the prevalence of industry payments from companies making biologic medications for IBD to contributors of UpToDate articles on IBD. Methods This cross-sectional analysis included UpToDate articles that mention the use of biologic medications for IBD. We collected the names of the contributors (authors and editors) and their disclosures on UpToDate. We then searched for their names on the Center for Medicare and Medicaid Open Payments database and compared the payment information from 2013 to 2018 with UpToDate's disclosures. We presented data per episode, which describes one instance of participation by one person in one article, regardless of whether that person contributed to multiple articles. Results We identified 23 articles on the treatment of Crohn's disease and ulcerative colitis that mentioned the use of biologic medications, with 86 total episodes. Sixty-two (72%) episodes involved FCOIs. The median payment associated with each episode was $$55 (interquartile range = $44 to $145,241). Contributors did not fully disclose FCOIs in 41 (48%) episodes. Deputy editors, who are required to be free of FCOIs, in general did not have substantial episodes involving FCOI. Conclusions We found that UpToDate articles on inflammatory bowel disease involve substantial FCOI, many of which are not disclosed. The presence of these FCOIs may hamper trust in the objectivity of treatment recommendations.
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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 | 0.010 | 0.129 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.022 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".