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Record W2114830793 · doi:10.2106/jbjs.f.00994

Conflict of Interest in Orthopaedic Research

2007· article· en· W2114830793 on OpenAlexaff
Kanu Okike, Mininder S. Kocher, Charles T. Mehlman, Mohit Bhandari

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsHamilton General Hospital
Fundersnot available
KeywordsConflict of interestSubspecialtyIntraclass correlationMedicineConfidence intervalGrading (engineering)Family medicineFinanceClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Financial conflict of interest has been associated with an increased likelihood that authors will report positive study outcomes. The purpose of this study was to investigate the association between types of declared conflict of interest and reported study outcomes in orthopaedic research. METHODS: The abstracts of all podium presentations given at the 2001 and 2002 Annual Meetings of the American Academy of Orthopaedic Surgeons were analyzed by three orthopaedic surgeons with advanced training in clinical epidemiology. The findings reported in each abstract were graded as positive, negative, neutral, or not applicable. Self-reported conflict of interest was recorded and classified. RESULTS: Conflicts of interest were reported in 40.8% (212) of 519 abstracts. The interobserver reliability of the grading of the study findings was acceptable (intraclass correlation coefficient, 0.725). Rates of conflict of interest related to royalties, stock options, or consultant or employee status varied significantly by subspecialty field (p < 0.001). The overall rate of positive study findings was 84.0% (436 of the 519 abstracts). Positive findings were more common in studies authored by individuals with a conflict of interest related to royalties (98.4% [sixty of sixty-one] compared with 88.0% [381 of 433] for studies authored by individuals without a conflict of interest related to royalties; relative risk = 1.1 [95% confidence interval = 1.0 to 1.1]; p = 0.02), in studies authored by individuals with a conflict of interest related to stock options (100.0% [twenty-nine of twenty-nine] compared with 84.7% [394 of 465]; relative risk = 1.2 [95% confidence interval = 1.0 to 1.3]; p = 0.04), and in studies authored by individuals with a conflict of interest related to consultant or employee status (97.8% [ninety-one of ninety-three] compared with 89.0% [357 of 401]; relative risk = 1.1 [95% confidence interval = 1.0 to 1.2]; p = 0.01). Positive findings were not more common in studies authored by individuals with a conflict of interest related to research or institutional funding (93.5% [143 of 153] compared with 91.8% [313 of 341]; relative risk = 1.0 [95% confidence interval = 0.95 to 1.5]; p = 0.65). In the multivariate analysis, the factors that remained significant predictors of positive outcomes were royalties (p = 0.002) and consultant or employee status (p = 0.038). CONCLUSIONS: Self-reported conflicts of interest are common in orthopaedic research, particularly in the subspecialty fields of adult reconstruction of the knee, adult reconstruction of the hip, and spine. Presentations authored by individuals with a conflict of interest related to royalties, stock options, or consulting or employee status were significantly more likely to describe positive findings. While there may be distinct benefits associated with industry support of orthopaedic research, safeguards must be established to maintain public trust in the medical research establishment.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.856
GPT teacher head0.610
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations141
Published2007
Admission routes1
Has abstractyes

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