Evidence map›Paper›PMID 42549141›Full record

ArticleFrontiers in medicine2026

Predicting membranous nephropathy remission: a nomogram based on early dynamic biomarkers.

Chendan Wang, Cheng Hu, Miao Zhang, Rongshan Li

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

4 authors.

Chendan Wang *The Second Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China.
Cheng Hu *The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China.
Miao Zhang *The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China.
Rongshan LiThe Second Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional prognostic assessment of membranous nephropathy (MN) relies on baseline static indicators, which do not allow for the dynamic monitoring of early treatment response. This study aims to evaluate whether early changes in anti-PLA2R antibody titers, 24-h urine protein quantification, and serum albumin levels can predict 12-month remission and to develop a nomogram model to facilitate clinical decision-making. Methods: A retrospective analysis was conducted on 144 patients with PLA2R-related MN treated with rituximab between 2022 and 2025. Patients were categorized into remission ( Results: At 1 month post-treatment, non-remission patients demonstrated a significantly lower percentage decline in anti-PLA2R antibodies (47.26% vs. 85.74%, Conclusion: Dynamic changes in anti-PLA2R antibodies, urinary protein, and serum albumin at 1 month are effective predictors of 12-month remission in MN. This nomogram model enables early risk stratification and the optimization of personalized treatment strategies.

Indexed as

anti-PLA2R antibodydynamic monitoringmembranous nephropathynomogram modelprognosis predictionproteinuria

Identifiers

PMID42549141
PMCPMC13430465

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.