Evidence map›Paper›PMID 39647846›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2024

[Construction of a back propagation neural network model for predicting urosepsis after flexible ureteroscopic lithotripsy].

Wenwei Chen, Yanfeng He, Kaixin Lu, Changyi Liu, Tao Jiang, Hua Zhang, Rui Gao, Xueyi Xue

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2024. 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

8 authors.

Wenwei ChenDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China. chenwenwen6660@126net.com.cn.
Yanfeng HeDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Kaixin LuDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Changyi LiuDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Tao JiangDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Hua ZhangDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Rui GaoDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China. gaorui720827@fjmu.edu.cn.
Xueyi XueDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the association of serum heparin-binding protein (HBP) and C-reactive protein (CRP) levels with urosepsis following flexible ureteroscopic lithotripsy (FURL) and to construct a back propagation neural network prediction model.

methodsA total of 428 patients with kidney stones who underwent FURL were enrolled. Patients were divided into sepsis group (

resultsUnivariate analysis showed that stone surgery history, gender, positive urine culture, stone diameter, diabetes, operation time, white blood cell (WBC), platelet, CRP, and HBP levels were significantly associated with post-FURL urosepsis (all

conclusionsCRP and HBP levels are independent risk factors for post-FURL urosepsis. The back propagation neural network model based on CRP and HBP exhibits higher predictive accuracy than the logistic regression model, which may provide a reliable risk assessment tool for early discrimination and intervention of post-FURL urosepsis.

Indexed as

Kidney CalculiLithotripsyNeural Networks, ComputerPostoperative ComplicationsSepsisUreteroscopyUrinary Tract InfectionsAdultAgedC-Reactive ProteinFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsC-Reactive ProteinBack propagation neural network modelC-reactive proteinFlexible ureteroscopic lithotripsyHeparin-binding proteinLogistic regression modelPredictionUrosepsis

Identifiers

PMID39647846
PMCPMC11956881

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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.