FREQUENCY OF STONE CLEARANCE AFTER TRANSURETHRAL FRAGMENTATION OF LARGE URINARY BLADDER CALCULI USING PNEUMATIC SWISS LITHOCLAST
Bibliographic record
Abstract
BACKGROUND: Vesical calculi refer to stones in the urinary bladder. The causes of bladder stones include bladder outlet obstruction, neurogenic voiding dysfunction, infection, or foreign bodies. Very rarely, these vesical calculi may reach very large sizes and the largest dimension can sometimes reach 13 centimetres. METHODS: This descriptive cross-sectional study was conducted from 1ST May 2019 to 31st October, 2019 at Institute of Kidney Diseases, Urology Department, Hayatabad Peshawar. 164 patients with vesical stone were included in study. Ultrasound-KUB was used for diagnosis of vesical stone and after informed consent, and they underwent transurethral nephroscopic lithotripsy via the pneumatic Swiss Lithoclast. RESULTS: Frequency of stone clearance was 96.34%. No statistically significant association of stone clearance was observed with age, gender, number of stones or max dimension of largest stone in the bladder (p>0.05). CONCLUSIONS: Transurethral nephroscopic pneumatic lithotripsy via pneumatic Swiss Lithoclast is safe and effective procedure for treatment of large vesical stones. However, this being the first such study in adults, more data is needed to confirm these findings.
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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 | 0.000 | 0.004 |
| 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) | 0.002 | 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".