P084 Experiences With The Novel Policy For Managing Conflicts Of Interest Implemented In The 9th Edition Of The American College Of Chest Physicians Antithrombotic Guidelines (At9)
Bibliographic record
Abstract
Background The executive committee of the American College of Chest Physicians 9th edition of the Antithrombotic Guidelines (AT9) developed a novel policy for managing conflicts of interest (COI): methodologists bore primary responsibility for each chapter; there was equal emphasis on intellectual and financial COI; and content experts with COI participated, but the intent was to exclude them from the final decisions on recommendations on which they had conflicts. Objectives To explore the experiences of the AT9 methodologists and content experts with the COI policy. Methods A descriptive qualitative study: We conducted two rounds of semi-structured interviews with 15 participants and presented the results to the remaining 4 for verification. Results Methodologists were more positive about the policy than content experts. Six of 10 content experts expressed a more positive view than prior to participation in the AT9 process. The other 4 content experts remained sceptical, especially regarding the emphasis on intellectual COI. It was not possible to completely exclude conflicted panellists from the final decisions of the recommendations on which they had COI. Discussion After its implementation, some content experts were more favourable to the policy, but some retained major reservations. The influence of the policy on recommendations may have been more through the leading role of the methodologists than exclusion of conflicted participants in making recommendations. Implications for Guideline Developers/Users The leading role of methodologists was a positive innovation. However, restrictions to conflicted panellists were difficult to fully implement.
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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 | 0.098 | 0.163 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".