Evidence map›Paper›PMID 42046787›Full record

ArticleFrontiers in physiology2026

The value of renal biopsy in PLA

Shan Lu, Xiaoyang Wang, Xiaoxue Wang, Mengjiao Zhao, Hong Li, Zhanzheng Zhao

Abstract read
In one paragraph

Article in Frontiers in physiology, 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

6 authors.

Shan LuDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiaoyang WangDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiaoxue WangDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Mengjiao ZhaoDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Hong LiDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhanzheng ZhaoDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The detection of serum anti-phospholipase A Methods: This study aimed to evaluate the value of renal biopsy in the diagnosis, treatment and prognosis of patients with proteinuria who are seropositive for PLA Results: Renal biopsy was performed in 414 SAb+ patients, 284 patients with primary membranous nephropathy (PMN) alone, 11 patients with atypical MN (AMN), 119 patients with PMN and diabetes mellitus (DM) or other pathologies, such as obesity-related glomerulopathy (ORG), renal tubular/interstitial injury (RTI), and ischemic kidney injury (IRI). There was no significant difference in the treatment or prognoses of MN patients with or without additional pathologies/DM. A high estimated glomerular filtration rate (eGFR) was associated with favorable prognosis (P<0.05), but additional pathologies were not significantly associated with it (P>0.05). Discussion: In conclusion, SAb+ can strongly predict MN (including in patients with DM) in China, but often coexists with additional pathologies. The presence of additional pathologies did not appear to be a significant determinant of management or prognosis. Renal biopsy is still necessary for accurate diagnosis, especially in patients with renal dysfunction.

Indexed as

Anti-PLA2R antibodydiagnosismembranous nephropathyprognosisrenal biopsy

Identifiers

PMID42046787
PMCPMC13110865

What OpenQuestion 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 OpenQuestion graph.