A208 PREVALENCE OF FINANCIAL CONFLICTS OF INTEREST AMONG POINT-OF-CARE RESOURCE ARTICLES FOR INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
The use of point-of-care evidence-based medicine (POC-EBM) resources, such as UpToDate ®, is widespread. There are concerns, however, regarding the presence of physician-industry interactions and financial conflicts of interest (FCOI) among contributors to articles. In particular, it is unclear the extent to which articles on UpToDate ® regarding inflammatory bowel disease (IBD) have these potential conflicts of interest. To investigate the prevalence of industry payments from pharmaceutical companies making biologic medications for IBD among contributors to UpToDate articles on the treatment of IBD. We conducted a cross-sectional analysis of UpToDate ® articles related to the treatment of Crohn’s disease and ulcerative colitis that recommended the use of biologic medications. We collected the names of the contributors (authors, section editors, and deputy editors), and their disclosures on UpToDate were recorded. We then searched the names of those contributors on the Center for Medicare and Medicaid Open Payments (CMS-OP) database and compared the payment information from 2013 – 2016 with the disclosures on UpToDate ® . We presented data per episode, rather than by individual contributor. An episode describes one instance of participation in a by one person in one article, regardless of whether an author was present on multiple articles. We identified a total of 23 articles on the treatment of Crohn’s disease and ulcerative colitis that recommended the use of biologic medication, with a total of 86 episodes. Among these, we found that there were 42 (48.8%) declarations of FCOI, with 40 (46.5%) that were related to the company marketing the biologic recommended in the article. When examining the CMS-OP database for the relevant years, we found 39 (45.3%) records. The median value of all industry payments was 23 349.44 (USD). In addition, there were 35 episodes of industry payments that were related to the biologic mentioned in the article, with a median value of 41 656.00 (USD). Our results highlight a startling high prevalence of FCOI among a POC-EBM resource for the treatment of IBD. In particular, we found that almost half of the instances in these articles had relevant FCOI and the financial burden of related payments was substantial. Further work is needed to explore the relationships with these payments. 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 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 | 0.032 | 0.211 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.031 | 0.033 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".