An International Survey on the Use of Thromboprophylaxis in Urological Surgery
Bibliographic record
Abstract
BACKGROUND: The use of perioperative thromboprophylaxis in urological surgery is common but not standardized. OBJECTIVE: To characterize international practice variation in thromboprophylaxis use in urological surgery. DESIGN, SETTING, AND PARTICIPANTS: We conducted a scenario-based survey addressing the use of mechanical and pharmacological thromboprophylaxis in urological cancer procedures (radical cystectomy [RC], radical prostatectomy [RP], and radical nephrectomy [RN]) among practicing urologists in Canada, Finland, and Japan. The survey presented patient profiles reflecting a spectrum of risk for venous thromboembolism; the respondents described their clinical practice. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The proportion of respondents who routinely used (1) mechanical, (2) pharmacological, and (3) extended pharmacological prophylaxis was stratified by procedure. A logistic regression identified characteristics associated with thromboprophylaxis use. RESULTS AND LIMITATIONS: Of 1051 urologists contacted, 570 (54%) participated in the survey. Japanese urologists were less likely to prescribe pharmacological prophylaxis than Canadian or Finnish urologists (p < 0.001 for all procedures). Canadian and Finnish urologists exhibited large variation for extended pharmacological prophylaxis for RP and RN. Finnish urologists were most likely to prescribe extended prophylaxis versus Canadian and Japanese urologists (RC 98%, 84%, and 26%; Open RP 25%, 8%, and 3%; robotic RP 11%, 9%, and 0%; and RN 43%, 7%, and 1%, respectively; p < 0.001 for each procedure). Less variation was found regarding the prescription of mechanical prophylaxis, which was most commonly used until ambulation or discharge. The length of hospital stay was longer in Japan and may bias estimates of extended prophylaxis in Japan. CONCLUSIONS: We found large variation in clinical practice regarding pharmacological thromboprophylaxis within and between countries. Knowledge translation of evidence-based guidelines may reduce problematic international variation in practice. PATIENT SUMMARY: Use of medications to decrease blood clots after urological cancer surgery differs within and between countries. Closer adherence to urology guidelines addressing the prevention of blood clots may decrease this variation and improve patient outcomes.
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".