Evidence map›Paper›PMID 37724562›Full record

ArticleRenal failure2023

The cutoff value and prognosis of anti-PLA2R antibody for idiopathic membranous nephropathy: a single-center retrospective study in China.

Hongxia Guo, Yao Yao, Jiansuo Zhou, Song Wang, Yue Wang, Danxia Zheng

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. PLA2R autoantibodies, a multifaceted biomarker in nephrotic syndrome and membranous nephropathy.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Pooled it
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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 at 3 institutions in 1 country.

Hongxia GuoDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Yao YaoDepartment of Pathology, Peking University Third Hospital, Beijing, China.
Jiansuo ZhouDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, China.
Song WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Yue WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Danxia ZhengDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Peking University Third Hospital · CNPeking University · CNBeijing Hua Xin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum anti-phospholipase A2 receptor (anti-PLA2R) antibody is used for the noninvasive diagnosis of idiopathic membranous nephropathy (IMN). However, the cutoff value of anti-PLA2R antibodies in IMN patients is debatable. This study aimed to investigate the cutoff value of anti-PLA2R antibodies for diagnosing IMN and the correlation of anti-PLA2R antibodies with clinical parameters and prognosis. A total of 252 IMN patients and 521 non-IMN patients with both renal biopsy and serum anti-PLA2R antibody data from April 2017 to November 2019 were enrolled. Anti-PLA2R antibody was detected by an enzyme-linked immunosorbent assay. The anti-PLA2R antibody titer was higher in the IMN group than in the non-IMN group (153.1 ± 22.4 vs. 2.0 ± 0.2 RU/mL,

Indexed as

Glomerulonephritis, MembranousChinaEnzyme-Linked Immunosorbent AssayHumansPrognosisRetrospective Studiesanti-PLA2R antibodyCutoff valuediagnosisidiopathic membranous nephropathyprognosis

Identifiers

PMID37724562
PMCPMC10512780
OpenAlexW4386846561

What OpenQuestion holds

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LicenceCC BY-NC
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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.