Evidence map›Paper›PMID 41642286›Full record

ArticleAbdominal radiology (New York)2026

Integrating shear wave elastography and clinical characteristics for noninvasive diagnosis of IgA nephropathy.

Jiaxin Chen, Shushang Zhang, Dalin Ye, Shuqing Wang, Qunyan Wu, Yuhong Lin, Zhongzhen Su

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Article in Abdominal radiology (New York), 2026. 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.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiaxin ChenFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Shushang ZhangFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Dalin YeFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Shuqing WangFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Qunyan WuFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Yuhong LinFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zhongzhen SuFifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China. suzhzh3@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 82371975, 82072038Natural Science Foundation of the Guangdong Province 2024A1515013242
6 · The paper itself

Abstract

purposeTo develop and validate a diagnostic model for IgA nephropathy (IgAN) based on Shear Wave Elastography (SWE) and clinical characteristics.

methodsThis study enrolled 270 patients with primary glomerulonephritis who underwent renal biopsy at the Fifth Affiliated Hospital of Sun Yat-sen University between November 2019 and November 2023. Among the study cohort, there were 152 IgAN patients. Biochemical and ultrasound examinations including SWE examination were performed within one week prior to biopsy. Univariate and multivariate analyses were used to determine the independent predictors of IgAN.

resultsMultivariate logistic regression identified age, estimated glomerular filtration rate (eGFR), serum albumin, 24-hour urinary protein, and mean SWE value as independent predictors of IgAN. In the training cohort, our model achieved an area under the receiver operating characteristic curve (AUC) of 0.921 (95% CI: 0.879-0.962), and 0.806 (95% CI: 0.707-0.905) in the validation cohort. A nomogram integrating the aforementioned independent risk factors was constructed, facilitating practical use for clinicians.

conclusionThe integrated clinical and SWE model demonstrates good diagnostic performance for IgAN. It is simple to implement and holds significant clinical value as a potential non-invasive diagnostic tool.

Indexed as

Elasticity Imaging TechniquesGlomerulonephritis, IGAAdultBiopsyFemaleGlomerular Filtration RateHumansMaleMiddle AgedDiagnosisEstimated glomerular filtration rateIgA nephropathyNoninvasiveShear wave elastography

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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.