Evidence map›Paper›PMID 41720055›Full record

ArticleClinics (Sao Paulo, Brazil)2026

External validation of a nomogram for predicting tubulointerstitial lesions in IgA nephropathy: a cross-regional study in China.

Xinyu Wang, Litian Pu, Lu Song, Jian Xu, Hu Meng, Meng Yang, Yan Xu, Qiao Wang, Lijuan Sun, Feifei Liu and 4 more

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In one paragraph

Article in Clinics (Sao Paulo, Brazil), 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.

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. 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

14 authors.

Xinyu WangDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Litian PuDepartment of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, China.
Lu SongDepartment of Integrated Traditional Chinese and Western Medicine, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Jian XuDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Hu MengDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Meng YangDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Yan XuDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Qiao WangDepartment of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, China.
Lijuan SunDepartment of Nephrology, The First People's Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, China.
Feifei LiuDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Yaling YuDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China.
Yaxi ZhaoDepartment of Clinical Nutrition, The Second People's Hospital of Kunming, Kunming, China. Electronic address: yaxizhao@outlook.com.
Ying ShenDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China. Electronic address: 1402202854@qq.com.
Qinyuan DengDepartment of Nephrology, The First People's Hospital of Yunnan Province, Kunming University of Science and Technology Affiliated Hospital, Kunming, China. Electronic address: deng835552032@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA diagnostic nomogram for predicting tubulointerstitial lesions (T1/2) in IgA Nephropathy (IgAN), developed in Guangzhou (GZ) using estimated Glomerular Filtration Rate (eGFR) and Urinary Protein Excretion (UPE), demonstrated high accuracy (AUC = 0.92) but lacked external validation.

methodsThe authors externally validated the nomogram in an independent cohort from Kunming (KM, n = 387; median altitude: 1,891 m), including a high-altitude subgroup (> 2,000 m, n = 155). Model performance was evaluated using Receiver Operating Characteristic (ROC) curves, calibration plots, and Decision Curve Analysis (DCA). Both creatinine-based eGFR (eGFRcr) and Creatinine-Cystatin C-based eGFR (eGFRcr-cys), each combined with UPE, were assessed.

resultsThe nomogram achieved nearly identical AUCs of 0.80 in the overall KM cohort for both eGFRcr-UPE (95% CI: 0.75-0.85) and eGFRcr-cys-UPE (95% CI: 0.74-0.85), demonstrating strong generalizability across eGFR formulas. In the high-altitude subgroup, performance significantly improved (AUC = 0.89; 95% CI: 0.83-0.95) for both models.

conclusionExternal validation demonstrates that the nomogram combining eGFR and UPE is feasible for non-invasive prediction of T1/2 lesions, with comparable performance between eGFRcr and eGFRcr-cys. The improved accuracy observed at high altitude suggests altitude-related influences that merit further study. Prospective studies are needed to determine its prognostic value for clinical outcomes such as CKD progression and treatment response.

Indexed as

AltitudeExternal validationIgA nephropathyNomogramTubulointerstitial fibrosis

Identifiers

PMID41720055
PMCPMC12933437

What Socratic holds

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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 Socratic graph.