Do Editorialists With Industry-Related Conflicts of Interest Write Unduly Favorable Editorials for Cancer Drugs in Top Journals?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Editorials accompanying the publication of trials in major oncology journals can have a substantial influence on clinical practice. We describe the prevalence of financial conflicts of interest (FCOIs) of authors writing such editorials and the extent to which FCOIs may shape the interpretation of clinical trials. METHODS: We examined editorials published in 2018 alongside trial reports in the top 5 journals that publish cancer drug trials (New England Journal of Medicine, Lancet, Lancet Oncology, JAMA Oncology, and Journal of Clinical Oncology). An editorial was considered to have an FCOI if at least one of the editorialists had any disclosed FCOI. An FCOI with the same company whose drug was being discussed in the editorial was classified as a direct FCOI. Editorials were reviewed for their content and classified as being unduly favorable (defined as the presence of a positive spin without discussion of limitations) or not. Association of an FCOI and a direct FCOI with writing an unduly favorable editorial was assessed. RESULTS: Of the 90 editorials assessed, 74% (n=67) were classified as having an FCOI with the pharmaceutical industry, and 39% (n=35) had an FCOI with the same company whose product was being discussed in the editorial (direct FCOI). Editorials were classified as being unduly favorable toward the study drug in 12% (8 of 67) and 13% (3 of 23) (P=1.0) of those with and without FCOIs, respectively; corresponding rates with and without direct FCOI were 23% (8 of 35) and 5% (3 of 55), respectively (P=.009). CONCLUSIONS: Editorials in top oncology journals were frequently authored by experts with FCOIs, including direct FCOIs. Authoring an unduly favorable editorial for a new cancer drug was significantly associated with the author having a direct FCOI with the same company. These findings support the call for journals to ensure that authors of editorials have no direct FCOIs.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it