Perioperative Outcomes of Anatomic Endoscopic Enucleation of the Prostate, Robotic and Open Simple Prostatectomy From a Multi-Institutional Database
Bibliographic record
Abstract
Objective: To compare the perioperative morbidity of robotic-assisted simple prostatectomy (RASP), anatomical endoscopic enucleation of the prostate (AEEP) and open simple prostatectomy (OSP) for the treatment of benign prostatic obstruction (BPO). Methods: The national surgical quality improvement program database was queried for AEEP, RASP, and OSPprocedures. Clavien-Dindo-graded complications, length of hospital stay (LOS), and operative time were compared among the procedures. To control for the potentially confounding variables, we first conducted a multivariate backward conditional logistic regression, and then resorted to propensity score matching. Results: We identified 2867 AEEP, 234 RASP, and 1492 OSP procedures. After matching, the risk of pulmonary, renal, infectious, and thromboembolic adverse events was lower after AEEP but not RASP in comparison with OSP (P < 0.05). In comparison with RASP, AEEP had lower cardiac and thromboembolic events (P < 0.05). When compared with OSP, AEEP had reduced odds of Clavien-Dindo grade I (OR = 0.12; 95% CI 0.10 to 0.16) and II (OR = 0.38; 95% CI 0.24 to 9.58) complications. Also, AEEP had lower odds for grade I and II as well as grade IV complications (OR = 0.30; 95% CI 0.19 to 0.48, and OR = 0.05; 95% CI 0.01 to 0.24, respectively) compared with RASP. Conclusion: AEEP and RASP were associated with fewer perioperative adverse events, a shorter LOS and a reduced risk of transfusion compared with OSP. AEEP was associated with overall lower complication rates than RASP and OSP.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".