Comparative study of laparoscopic pyelolithotomy versus percutaneous nephrolithotomy in the management of large renal pelvic stones
Bibliographic record
Abstract
BACKGROUND: The aim of the study is to investigate whether laparoscopic pyelolithotomy (LPL) could be used to manage large renal pelvic stones, generally considered excellent indications for percutaneous nephrolithotomy (PNL). METHODS: This study was performed from May 2009 to March 2012 at Al-Azhar University Hospitals (Assiut and Cairo), Egypt. It included two groups of patients with large renal pelvic stones; only patients with stones 2.5 cm(2) or greater were included. Group 1 included 40 patients treated by PNL and Group 2 included 10 patients treated by LPL. The differences between the two procedures were compared and analyzed. RESULTS: There was no difference between the two groups regarding patient demographics and stone size. There was a statistically significant difference between the groups regarding mean estimated blood loss (65 ± 12.25 [range: 52.75-77.25] vs. 180 ± 20.74 [range: 159.26-200.74] mL, p ≤ 0001), mean hospital stay (2.3 ± 0.64 [range: 1.66-2.94] vs. 3.7 ± 1.4 [range: 2.3-5.1] days, p ≤ 0.006), rate of postoperative blood transfusion (0% vs. 4.8%, p ≤ 0.0024), and stone-free rate (80% vs. 78.6%, p ≤ 0.23). The mean operative time was significantly longer in Group 2 (LPL) (131 ± 22.11 [range: 108.89-153.11) vs. 51.19 ± 24.39 [range: 26.8-75.58] min, p ≤ 0001), respectively. CONCLUSION: Although PNL is the standard treatment in most cases of renal pelvic stones, LPL is another feasible surgical technique for patients with large renal pelvic stones.
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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 | 0.001 | 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) | 0.000 | 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".