Sex Representation Among Principal Investigators in Cardiac Surgery Clinical Trials in the United States
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine the sex representation among principal investigators (PIs) in US cardiac surgery clinical trials. SUMMARY BACKGROUND DATA: Being a principal investigator in a US clinical trial confers national recognition among peers. Sex representation among principal investigators (PIs) in US cardiac surgery clinical trials has not been evaluated. METHODS: We evaluated 124 US cardiac surgery trials registered on Clin-icalTrials.gov from 2014 to 2019. Sixty trials included PIs (n = 266) from 128 institutions that had a combined total of 1040 adult cardiac surgeons. We examined sex representation among junior-level (instructor or assistant professor) and senior-level (associate, full, or Emeritus professor) PIs by calculating the participation-to-prevalence ratio (PPR), whereby a PPR range of 0.8 to 1.2 reflects equitable representation. RESULTS: The pool representation percentage was 6.1% (63/1040) for women and 93.9% (977/1040) for men. A total of 266 PI positions were assigned to adult cardiac surgeons: 6 (9.5%; PPR = 0.37) from the female pool and 260 (26.6%; PPR = 1.04) from the male pool ( P = 0.004). The percentage of PIs with studies funded by industry was 9.5% ofthe female pool (PPR = 0.39) and 25.0% of the male pool (PPR = 1.04) ( P = 0.009). No National Institutes of Health-funded or other funded trials had female PIs. An overall trend was observed toward disproportionally more men than women among PIs, especially at the senior level ( P = 0.027). CONCLUSIONS: Equitable opportunities for PI positions are available for junior-level but not senior-level cardiothoracic surgeons. These results suggest a need for active engagement and promotion of equal opportunities in cardiac surgery.
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How this classification was reachedexpand
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 | 0.036 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".