Evidence map›Paper›PMID 41136667›Full record

ArticleUrolithiasis2025

Construction and validation of a nomogram to predict urosepsis in patients with symptomatic ureterolithiasis after ureteroscopic lithotripsy.

Qiao Qi, Jie Yu, Shuchen Liu, Yuexian Xu, Qingfeng Huang, Zongyao Hao

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Urolithiasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Qiao Qi *Department of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, Hefei, 230022, People's Republic of China.
Jie Yu *Department of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, Hefei, 230022, People's Republic of China.
Shuchen Liu *Department of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, Hefei, 230022, People's Republic of China.
Yuexian XuDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, Hefei, 230022, People's Republic of China.
Qingfeng HuangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, Hefei, 230022, People's Republic of China.
Zongyao HaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, 218th Jixi Road, Hefei, 230022, People's Republic of China. haozongyao@ahmu.edu.cn.

Funding

Excellent innovation team in scientific research of Anhui provincial colleges 2022AH010071National Natural Science Foundation of China,China 82370768Natural Science Research Project of Anhui Educational Committee 2023AH040372
6 · The paper itself

Abstract

To explore the independent risk factors for urosepsis in patients with symptomatic ureterolithiasis undergoing ureteroscopic lithotripsy (URSL) and to construct a clinically applicable predictive model for the early identification of high-risk patients to reduce the possibility of postoperative urosepsis.This study included 944 patients with symptomatic ureterolithiasis treated with URSL, and these patients were randomly divided into a training set and a validation set at a 7:3 ratio. Independent risk factors were screened by univariate and multivariate logistic regression analyses, and predictive models were constructed based on these variables. The area under the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the discrimination, calibration, and clinical applicability of the nomogram. A total of 89 patients in this study developed urosepsis after URSL. Multivariate logistic regression analysis showed that positive urinary nitrite (OR = 3.418, 95%CI: 1.470-7.982), operative time (OR = 1.022, 95%CI: 1.012-1.033), positive urine culture (OR = 3.549, 95%CI: 1.793-6.961), hemoglobin (OR = 0.979, 95%CI: 0.964-0.994), and perirenal fat stranding (OR = 4.523, 95%CI: 1.891-10.801) were independent risk factors for urosepsis after URSL in patients with symptomatic ureterolithiasis. The areas under the ROC curve for this nomogram in the training set and the validation set were 0.872 (95%CI: 0.830-0.915) and 0.872 (95%CI: 0.806-0.939), respectively, indicating good prediction ability. The calibration curve showed good consistency, and DCA demonstrated that the model had a high clinical net benefit. The predictive model, including positive urinary nitrite, operative time, positive urine culture, hemoglobin, and perirenal fat stranding, was constructed, which can effectively estimate the risk of urosepsis in patients with symptomatic ureterolithiasis after URSL.

Indexed as

LithotripsyNomogramsPostoperative ComplicationsSepsisUreterolithiasisUreteroscopyUrinary Tract InfectionsAdultFemaleHumansMaleMiddle AgedOperative TimeRisk FactorsROC CurveNomogramRisk factorUreterolithiasisUreteroscopic lithotripsyUrosepsis

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Registered trials

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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.