Evidence map›Paper›PMID 42225746›Full record

Observational studyScientific reports2026

A nomogram estimates postoperative urinary tract infection risk after upper urinary tract stone surgery with double-J stents.

Yan Liu, Chao Zhou, Ji Ai, Zhenhao Li, Han Zhu, Shiyu Wang, Jian Gao, Huijiu Luo, Yu Ding, Zeju Zhao and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yan Liu *Department of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Chao Zhou *Department of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Ji Ai *Department of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Zhenhao LiDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Han ZhuDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Shiyu WangDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Jian GaoDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Huijiu LuoDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Yu DingDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Zeju ZhaoDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China.
Guobiao LiangDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China. Guobiaoliang001@163.com.
Shulian ChenDepartment of Urology, Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi, 563000, Guizhou, China. csl@zmu.edu.cn.

Funding

Zunyi Science and Technology Planning Joint Project (HZ) Zunshi Kehe HZ (2023) No. 291
6 · The paper itself

Abstract

Postoperative urinary tract infection (UTI) is common after upper urinary tract stone surgery in patients with indwelling double-J stents, but dedicated risk-stratification tools for this peri-stent period remain limited. We aimed to develop and related-center validate a nomogram for individualized UTI risk estimation, while distinguishing earlier postoperative risk prediction from near-removal risk updating. In this retrospective two-center cohort study conducted from January 2023 to July 2025, 756 eligible patients were analyzed. Patients from the Affiliated Hospital of Zunyi Medical University (Hospital A) were randomly divided into training (n = 382) and internal validation (n = 164) cohorts, while patients from the Second Affiliated Hospital of Zunyi Medical University (Hospital B) formed a related-center validation cohort (n = 210). LASSO and multivariable logistic regression were used to construct the model. A pre-removal model included antecedent predictors available before the stent-removal encounter, whereas an updated at-removal model additionally incorporated urine nitrite positivity measured at stent removal. Postoperative UTI occurred in 17.5% of the training cohort and 18.6% of the related-center validation cohort. The pre-removal model included postoperative residual fragments (> 4 mm), longer DJ stent dwell time, prior UTI, moderate-to-severe hydronephrosis, and daily fluid intake > 3000 mL/day as a protective factor. The updated at-removal model additionally incorporated urine nitrite positivity at stent removal. The updated at-removal nomogram showed good discrimination, with AUCs of 0.873 in the training cohort, 0.835 in the internal validation cohort, and 0.932 in the related-center validation cohort. The pre-removal model also maintained good discrimination, with AUCs of 0.852, 0.807, and 0.926, respectively. This nomogram may serve as a potentially useful decision-support tool for structured postoperative surveillance in DJ-stented patients after upper urinary tract stone surgery. Because the study was retrospective and validation was performed within a related institutional network, broader prospective validation across more heterogeneous healthcare settings is required before routine clinical implementation.

Indexed as

NomogramsPostoperative ComplicationsStentsUrinary CalculiUrinary Tract InfectionsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsDouble-J stentNomogramPostoperative complicationRisk predictionUrinary tract infectionUrolithiasis

Identifiers

PMID42225746
PMCPMC13457834

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.