Evidence map›Paper›PMID 40978113›Full record

ArticleClinical kidney journal2025

Novel therapies improve prognosis of IgAN and limit the applicability of the International IgA Nephropathy Prediction Tool.

Xue Shen, Pei Chen, Lijun Liu, Sufang Shi, Xujie Zhou, Sean J Barbour, Jicheng Lv, Hong Zhang

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. 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

8 authors.

Xue ShenRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0009-0007-5810-3896
Pei ChenRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Lijun LiuRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Sufang ShiRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Xujie ZhouRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Sean J BarbourBC Renal, Provincial Health Services Authority, Vancouver, British Columbia, Canada; Division of Nephrology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Jicheng LvRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Hong ZhangRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The International IgA Nephropathy Prediction Tools using clinical variables and the Oxford MEST scores were developed in outdated cohorts. External validation is required to assess the tool's applicability in predicting progression risk for patients on novel therapies. Methods: We included 677 immunoglobulin A nephropathy (IgAN) patients (Peking University First Hospital, 2003-23) treated with endothelin receptor antagonists, Nefecon, sodium-glucose cotransporter 2 inhibitors, hydroxychloroquine or telitacicept, a BAFF/APRIL inhibitor. The primary outcome was defined as a 50% decline in estimated glomerular filtration rate or end-stage kidney disease. Discrimination (C-statistic), calibration [calibration slope, Integrated Calibration Index (ICI)], model fit (R Results: The median follow-up was 4.8 years (interquartile range 2.2, 8.1), and 190 (28.1%) patients experienced the primary outcome, with a 5-year risk of 9.8%. Compared with the median biopsy year of reported cohorts of original model, our cohort is more contemporary (2017). We validated both original and updated models (and for full model with and without race version). All versions showed adequate discrimination, poor calibration and model fit: C-statistic ∼0.74, calibration slope ∼0.50, R Conclusions: In this study, both versions of both models demonstrated limited performance and overestimated risks. Given the prognostic improvement with novel IgAN therapies, these prediction tools may need updating for use in currently treated patients.

Indexed as

disease progressionend-stage kidney diseaseIgA nephropathynovel therapiesrisk prediction tool

Identifiers

PMID40978113
PMCPMC12445651

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.