ArticleUrolithiasis2026
Diagnostic performance of intraoperative urine dipstick testing during ureteroscopy: association with culture positivity and severe infection.
Article in Urolithiasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ureteroscopy (URS) is a widely performed procedure for urinary stone disease, yet infectious complications, including sepsis, remain a concern despite negative preoperative urine cultures. Intraoperative urine dipstick testing offers a rapid point-of-care assessment, but its diagnostic performance for predicting culture positivity and severe infection at different sampling sites during URS remains unclear. In this retrospective, single-center study, 238 patients undergoing URS were included. Paired urine dipstick and culture samples were obtained from bladder urine, intraoperative pelvic urine, and post-laser pelvic urine. Dipstick positivity was defined using two criteria: leukocytes and/or nitrites (OR definition) and leukocytes and nitrites (AND definition). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with 95% confidence intervals were calculated for predicting culture positivity. Receiver operating characteristic (ROC) curve analysis was performed, including a composite dipstick score (0-2). Severe postoperative infection was assessed as a secondary exploratory outcome. Culture positivity ranged from 18.4% (bladder) to 22.9% (intraoperative pelvic urine). Using the OR definition, pooled sensitivity was 80.5% and specificity 47.6%, whereas the AND definition yielded lower sensitivity (43.8%) and higher specificity (86.4%). Diagnostic performance varied by sampling site, with intraoperative pelvic urine demonstrating the most balanced metrics. ROC analysis showed moderate discriminative performance, with the highest AUC observed for pelvic urine sampled prior to laser fragmentation (AUC 0.723, 95% CI 0.646-0.801). For severe infection (4.2%), dipstick testing demonstrated low sensitivity (30%), and this analysis was considered exploratory. Intraoperative urine dipstick testing demonstrates moderate diagnostic performance for predicting culture positivity during URS, with results influenced by sampling site and positivity definition. Pre-laser pelvic sampling provides the most informative results. A negative intraoperative dipstick, particularly from pre-laser pelvic urine, may help identify patients at lower likelihood of culture positivity; however, the test remains insufficient to guide antimicrobial or postoperative decision-making in isolation. Further prospective studies are required to validate its role in perioperative risk stratification.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.