The Impact of Preoperative Double-J Stent on Perioperative Complications, Recurrence, and Quality of Life in Adult Patients Undergoing Pyeloplasty
Bibliographic record
Abstract
PURPOSE: This study aimed to evaluate the impact of preoperative double-J stent (DJ) in pyeloplasty patients on perioperative complications, recurrence, and quality of life (QoL). METHODS: Pyeloplasties due to ureteropelvic junction obstructions between January 2010 and December 2020 were consecutively identified. A standardized follow-up questionnaire was used. Tabulation was made according to preoperative DJ versus no DJ. Subgroup analyses addressed primary robotic pyeloplasties. RESULTS: Of 95 pyeloplasty patients, 62% received a preoperative DJ. Patients with preoperative DJ exhibited higher rates of Clavien-Dindo (CD) 2 (22 vs. 11%) complications, but not of CD3 (8.5 vs. 8.3%, p = 0.5). After a median follow-up of 61 months, 9 patients exhibited a recurrence, of whom 7 had a preoperative DJ. In QoL assessment, comparable findings were made between patients with and without preoperative DJ. In robotic pyeloplasty patients (n = 73), patients with preoperative DJ (58%, n = 42) experienced higher CD3 complication rates, compared to patients without preoperative DJ (12 vs. 6.5%). Moreover, higher rates of recurrences were observed in preoperative DJ patients (12 vs. 3.2%). CONCLUSION: In a contemporary pyeloplasty cohort, the midterm success rate was good with 91%. Our findings suggest that preoperative DJ is associated with higher recurrence rates. However, QoL did not differ between patients with and without preoperative DJ.
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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 | 0.000 | 0.002 |
| 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".