Evidence map›Paper›PMID 41462122›Full record

ArticleBMC infectious diseases2025

Precision diagnosis of preoperative infection in urolithiasis: integrating targeted next-generation sequencing for enhanced accuracy-a multicenter cohort study.

Zhenglin Chang, Jierong Chen, Jiakai Chen, Yanyun Zhu, Yuexin Zhang, Jialin Liu, Jiwang Deng, Haojie Wu, Lai Bin, Huaming Lin and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Zhenglin Chang *Department of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China. czlin223@163.com.
Jierong Chen *Department of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China.
Jiakai Chen *Department of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China.
Yanyun Zhu *Department of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China.
Yuexin Zhang *Department of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China.
Jialin LiuDepartment of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China.
Jiwang DengDepartment of Urology, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, 510080, PR China.
Haojie WuDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510120, PR China.
Lai BinDepartment of Urology, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, PR China.
Huaming LinGuangzhou DaAn Clinical Laboratory Center Co. Ltd, YunKang Group, Guangzhou, 510000, China.
Ying LiangDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510120, PR China. wingleung113@126.com.
Qianjun LiDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510120, PR China. liqianjun2123@163.com.
Baoqing SunDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510120, PR China. sunbaoqing@gzhmu.edu.cn.
Guohua ZengDepartment of Urology and Guangdong Key Laboratory of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China. gzgyzgh@vip.sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative infection in urolithiasis patients poses significant risks for surgical complications. Traditional urine culture methods have limitations in detection speed and accuracy, necessitating more precise and rapid diagnostic approaches for preoperative infection assessment.

methodsThis multicenter cohort study evaluated urolithiasis patients with suspected preoperative infections (discovery cohort: n = 114; validation cohort: n = 64), comparing the diagnostic performance of traditional urine culture, metagenomic next-generation sequencing (mNGS), and targeted next-generation sequencing (tNGS).

resultsIn urolithiasis patients with suspected preoperative infections, both NGS methods demonstrated 100% sensitivity and negative predictive values (NPV) for pathogen detection, with tNGS showing superior specificity and positive predictive values (PPV) compared to mNGS. tNGS significantly reduced detection time (13 h vs. 48–72 h for traditional culture). mNGS detected 43 distinct pathogens while tNGS identified 42, both revealing previously undetected microorganisms including viruses and fungi. Among culture-positive cases, Escherichia coli (E. coli) was the predominant pathogen with higher prevalence in female patients. In polymicrobial infection patterns, tNGS identified bacterial-viral combinations as the dominant pattern (50.79%), followed by bacterial-mycoplasma/chlamydia (17.46%), and bacterial-viral-fungal (12.70%) combinations. These findings were validated in the second cohort, where bacterial-viral co-infections remained predominant (73.68%). Both NGS methods maintained 100% concordance with culture-positive results in clear and turbid urine samples, with tNGS demonstrating fewer false positives.

conclusionsFor urolithiasis patients with suspected preoperative infections, tNGS emerges as a superior diagnostic tool due to its higher specificity, faster turnaround time, and ability to detect complex pathogen patterns. While mNGS offers advantages in broad-spectrum screening, tNGS provides a more practical approach for precise preoperative infection assessment, potentially improving surgical timing decisions and patient outcomes. CLINICAL TRIAL: Not applicable.

Indexed as

High-Throughput Nucleotide SequencingUrinary Tract InfectionsUrolithiasisAdultAgedBacteriaCohort StudiesFemaleHumansMaleMiddle AgedPreoperative CarePreoperative PeriodSensitivity and SpecificityClinical infection diagnosisPathogen detectionTargeted next-generation sequencingUrinary tract infectionsUrolithiasis

Identifiers

PMID41462122
PMCPMC12751642

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LicenceCC BY-NC-ND
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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.