Can a Simple Geriatric Assessment Predict the Outcome of TURP?
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Bibliographic record
Abstract
PURPOSE: To determine the impact of a simple preoperative geriatric assessment on the outcome in older patients with recurrent urinary retention who underwent desobstructive surgery. PATIENTS AND METHODS: Patients aged 75 years or older with recurrent urinary retention referred for TURP entered this prospective, multicentre study. Several demographic, intra- and postoperative parameters were assessed. Preoperative geriatric assessment was performed by the 7-item Canadian Study of Health and Ageing (CSHA) frailty scale (1: very fit, 7: severely frail; completion takes less than a minute). The main outcome parameters were successful voiding rates at discharge and 3 months postoperatively. RESULTS: A total of 54 patients were recruited; 42 (77.8%) patients had a CSHA index of 1-3 and were considered as "fit", the remaining 12 (22.2%) formed the "frail" group (CSHA index 4-7). Age was identical in both cohorts (79.5 ± 3.7 vs. 79.7 ± 3.3 years); differences were demonstrable for the American Society of Anesthesiologists (ASA) score (p = 0.001), the number of daily medications (>4: 32 vs. 75%, p = 0.02), falls within the past 6 months (12 vs. 33%), and the necessity of home/nursing care (5 vs. 42%, p = 0.004). Intra- and perioperative complications, duration of postoperative catheterization, and length of hospitalization were identical in both cohorts. The success rate at discharge was 80.6% in fit and 75.0% in frail patients; the respective values at 3 months were 95.2 and 83.3%. CONCLUSIONS: A simple 1-min geriatric assessment tool can predict - to a certain extent - the outcome of desobstructive surgery in older patients with recurrent urinary retention. Fit patients achieve an excellent outcome while frail patients might benefit from a more in-depth urodynamic/geriatric evaluation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 it