Selective Versus Hilar Clamping During Minimally Invasive Partial Nephrectomy: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
PURPOSE: To compare the clinical efficacy and safety of selective vs hilar clamping during minimally invasive partial nephrectomy (PN). METHODS: Studies comparing the effect and safety of selective versus hilar clamping during PN were identified by a systematic search using MEDLINE and EMBASE from January 2000 to November 2014. Quality of the selected studies was assessed according to the Newcastle-Ottawa Scale (NOS). RESULTS: A total of seven retrospective studies were included. No significant differences were observed between the two groups in age, body mass index, tumor size, pre-estimated glomerular filtration rate (eGFR), operative time, and length of stay. The selective clamping group had greater estimated blood loss (P<0.01) but similar blood transfusion rate (P=0.78) compared with the hilar clamping group. There were no significant differences between the two groups in terms of urinary leaks, overall complication rate, and positive margin rate. Patients who underwent selective clamping had a lower change in eGFR (mean difference [MD]: 13.95; 95% CI 8.85 to 19.05; P<0.01) and a lower percent change in eGFR (MD: 18.51; 95% CI 14.18 to 22.84; P<0.01) at 1 week. Combined results from two studies showed a trend toward a lower percent change in eGFR at 3 months (MD: 5.47; 95% CI -0.28 to 11.22; P=0.06). At 6 months, two studies showed no significant differences in percent change of renal function between the two groups (MD: 16.85; 95% CI -10.47 to 44.16; P=0.23). CONCLUSIONS: Although selective clamping resulted in greater estimated blood loss, it provided comparable perioperative safety and superior short-term renal function preservation. The advantage of selective clamping in preservation of intermediate-term renal function remains to be evaluated in the future, however. There is a need for properly designed studies to confirm our founding.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.026 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".