A pragmatic randomized trial evaluating pre-operative aqueous antiseptic skin solutions in open fractures (Aqueous-PREP): statistical analysis plan
Bibliographic record
Abstract
BACKGROUND: Approximately 1 in 10 patients with a surgically treated open fracture will develop a surgical site infection. The Aqueous-PREP trial will investigate the effect of 10% povidone-iodine versus 4% chlorhexidine in aqueous antiseptic solutions in reducing infections after open fracture surgery. The study protocol was published in April 2020. METHODS AND DESIGN: The Aqueous-PREP trial is a pragmatic, multicenter, open-label, randomized multiple period cluster crossover trial. Each participating cluster is randomly assigned in a 1:1 ratio to provide 1 of the 2 study interventions on all eligible patients during a study period. The intervention periods are 2 months in length. After completing a 2-month period, the participating cluster crosses over to the alternative intervention. We plan to enroll a minimum of 1540 patients at 14 sites. RESULTS: The primary outcome is surgical site infection guided by the Centers for Disease Control and Prevention's National Healthcare Safety Network reporting criteria (2017). All participants' surgical site infection surveillance period will end 30 days after definitive fracture management surgery for superficial infections and 90 days after definitive fracture management surgery for deep incisional or organ/space infections [1]. The secondary outcome is an unplanned fracture-related reoperation within 12 months of the fracture. CONCLUSION: This manuscript serves as the formal statistical analysis plan (version 1.0) for the Aqueous-PREP trial. The statistical analysis plan was completed on February 28, 2022.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.009 | 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; a candidate call from one teacher head, 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".