Evidence map›Paper›PMID 42851431›Full record

ArticleFrontiers in medicine2026

Development and validation of a predictive model for rapid renal function decline in early IgA nephropathy: a multicenter retrospective study.

Junan Zhou, Yang Liu, Lixia Huo, Xu Wu, Zhelun Zhou, Haodong Liu, Rong Wu, Jiaai Zhang, Yiqing Yu, Deyong Fan and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Junan ZhouHuZhou Postgraduate Joint Training Base, Zhejiang Chinese Medical University, China.
Yang LiuDepartment of Nephrology, The First Affiliated Hospital of Huzhou University, Huzhou, China.
Lixia HuoDepartment of Nephrology, The First Affiliated Hospital of Huzhou University, Huzhou, China.
Xu WuDepartment of Nephrology, Huzhou Central Hospital, Huzhou, China.
Zhelun ZhouDepartment of Nephrology, The First Affiliated Hospital of Huzhou University, Huzhou, China.
Haodong LiuDepartment of Nephrology, The First Affiliated Hospital of Huzhou University, Huzhou, China.
Rong WuDepartment of Nephrology, The First Affiliated Hospital of Huzhou University, Huzhou, China.
Jiaai ZhangHuZhou Postgraduate Joint Training Base, Zhejiang Chinese Medical University, China.
Yiqing YuHuZhou Postgraduate Joint Training Base, Zhejiang Chinese Medical University, China.
Deyong FanDepartment of Nephrology, Huzhou Central Hospital, Huzhou, China.
Xiaoyi WangDepartment of Nephrology, The First Affiliated Hospital of Huzhou University, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunoglobulin A nephropathy (IgAN) is a heterogeneous disease, and early identification of patients at high risk of rapid renal deterioration remains challenging. In this multicenter retrospective study, 483 patients with biopsy-proven IgAN at chronic kidney disease stages 1-3 were enrolled and randomly assigned to a training cohort (

Indexed as

IgA nephropathylambda light chainOxford C scoreprediction modelrapid renal function decline

Identifiers

PMID42851431
PMCPMC13645597

What OpenQuestion holds

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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.