Transgluteal versus prone approach to extracorporeal shockwave lithotripsy for patients with distal ureteral stones: A systematic review and meta-analysis
Bibliographic record
Abstract
To explore the effectiveness of transgluteal approach during extracorporeal shockwave lithotripsy (ESWL) for patients with distal ureteral stones compared to the prone approach. A systematic literature search was carried out by two reviewers independently on the basis of three electronic databases up to Aug. 2020. Three randomized controlled trials (RCT) and one cohort studies (CS), with a total of 516 patients, comparing transgluteal approach with prone approach during ESWL for distal ureteral stones were included. The methodological quality of RCT was evaluated by Cochrane collaboration's tools, and the quality of CS and CCS was evaluated by modified Newcatle-Ottawa scale. The weighted mean difference (WMD) and odds ratio (OR) was respectively used to describe results of continuous and dichotomous variables. Pooled data showed that transgluteal approach could significantly improve the rate of stone free after the first treatment [OR = 3.18, 95% confidence interval (CI) 2.19-4.63, p < 0.00001] and the rate of overall stone free (OR = 4.03, 95% CI 2.43-6.69, p < 0.00001). In addition, compared with the prone approach, the transgluteal one could also significantly reduce the rate of ureteroscopy (OR = 0.21, 95% CI 0.12-0.36, p < 0.00001). What's more, complications were rarely reported, which demonstrated a similar safety for two approaches. Our study suggested that, during ESWL for patients with distal ureteral stones, transgluteal approach was a safe and more effective choice than the prone position.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.031 |
| 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 | 0.003 | 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".