A161 PREVALENCE OF FINANCIAL CONFLICTS OF INTEREST (FCOI) AMONG PROPENSITY-SCORE MATCHED RETROSPECTIVE STUDIES EVALUATING BIOLOGIC THERAPEUTICS FOR IBD
Notice bibliographique
Résumé
Abstract Background Inflammatory Bowel Disease (IBD) studies have commonly relied on real-world evidence to evaluate different therapies. An emerging idea has been the use of propensity score matching as a statistical method to account for baseline characteristics in IBD patients. In retrospective studies, propensity score matching of patients helps reduce treatment assignment bias and mimic the effects of randomization. Recently, propensity-score matching has become an important tool in IBD studies comparing biologic therapeutics. Biologic medications are among the highest-grossing drugs worldwide, and their pharmaceutical producers make considerable payments to physicians to market them. In spite of this, there is a lack of evidence examining the role of undue industry influence among propensity-score matched comparative studies evaluating biologic therapeutics for IBD. Aims Given the documented association between IBD biologics and FCOI, we hypothesize a high burden of FCOI in propensity-score matched studies. The aim of this study was to evaluate the prevalence of disclosed & undisclosed financial conflicts of Interest (FCOI) in propensity-score matched comparison studies evaluating biologics for IBD. Methods We developed & ran a librarian-reviewed systematic search on EMBASE, MEDLINE, and Cochrane Library databases for all propensity-score matched retrospective studies comparing biologics for the treatment of IBD. Full-text retrieval & screening was performed on all studies in duplicate. 16 articles were identified. Industry payments to authors were only considered FCOI if they were made by a company producing a biologic that was included in the comparison study. Disclosed FCOI were identified by authors’ interests disclosures in full-texts. Any undisclosed FCOI among US authors were identified using the Centre for Medicare and Medicaid Services (CMS) Open Payments Database, which collects industry payments to physicians. Results Based on a preliminary analysis of 16 studies, there was at least one author with a relevant FCOI in 14 (88%) of the 16 studies. 14 studies (88%) had at least one disclosed FCOI, while 6 studies (37.5%) had at least one undisclosed FCOI. Among studies with disclosed FCOI, a mean of 40.2% (SD = 23.4%) of authors/study reported FCOI. Among studies with undisclosed FCOI, a mean of 18.8% (SD = 7.0%) of authors/study reported FCOI. The total dollar value of FCOIs was $1,974,328.3. The median conflict dollar value was $5,576.6 (IQR: $321.6 to $36,394.9). Conclusions We found a high burden of undisclosed FCOI (37.5%) among authors of propensity-score matched studies evaluating IBD biologics. Given the potential for undue industry influence stemming from such payments, authors should ensure better transparency with industry relationships. Funding Agencies None
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,043 | 0,182 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,022 | 0,022 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».