Evidence map›Paper›PMID 39169078›Full record

ArticleScientific reports2024

A novel infrared spectroscopy marker for assessing the postoperative infection risk in patients with upper urinary tract calculus.

Jiexiang Lin, Zesong Yang, Yun Hong, Wanghai Cai, Honghong Pan, Jie Lin, Liefu Ye

Abstract read
In one paragraph

Article in Scientific reports, 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

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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. Article
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

7 authors.

Jiexiang Lin *The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Zesong Yang *The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Yun HongThe Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Wanghai CaiThe Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Honghong PanThe Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Jie LinDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, China. linjie@fjzlhospital.com.
Liefu YeThe Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China. yeliefu@fjmu.edu.cn.

Funding

Natural Science Foundation of Fujian Province Grant number 2021J01398
6 · The paper itself

Abstract

The aim of this study is to evaluate the ability of infrared wavenumber of calculus to predict postoperative infection in patients with upper urinary tract calculus (UUTC), and to establish a predictive model based on this. From March 2018 to March 2023, 480 UUTC patients from Fujian Provincial Hospital were included in this study. The infrared-wavenumbers related infection score (IR-infection score) was constructed by univariate analysis, multicollinearity screening, and Lasso analysis to predict postoperative infection. Continually, the Delong test was used to compare the predictive power between the IR-infection score and traditional indicators. Afterward, we performed urine metagene sequencing and stone culture to prove the correlation between calculus toxicity and IR-infection score. Finally, logistic regression was used to build a nomogram. IR-infection score composed of four independent wavenumbers could precisely predict postoperative infection (AUC

Indexed as

Postoperative ComplicationsSpectrophotometry, InfraredUrinary CalculiAdultAgedBiomarkersFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsUrinary Tract InfectionsBiomarkersCalculus toxicityInfrared spectrumPostoperative infectionUpper urinary tract calculus

Identifiers

PMID39169078
PMCPMC11339427

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LicenceCC BY-NC-ND
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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.