Evidence map›Paper›PMID 39935479›Full record

ArticleFrontiers in immunology2025

Castleman disease misdiagnosed as immunoglobulin G4-related disease: a case report.

Na Li, LiFen Xu, Xiaoxia Liu, Pengjia Wu, Jun Liu, Jiashun Zeng

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. [Analysis of clinical characteristics and current diagnosis and treatment status of IgG4-related diseases in the real world].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    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

6 authors.

Na LiDepartment of Rheumatology and Immunology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
LiFen XuPathology Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiaoxia LiuDepartment of Rheumatology and Immunology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Pengjia WuDepartment of Rheumatology and Immunology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jun LiuDepartment of Rheumatology and Immunology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jiashun ZengDepartment of Rheumatology and Immunology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Castleman disease (CD) and immunoglobulin G4-related disease (IgG4-RD) are rare systemic immune-mediated disorders that share overlapping clinical features, posing significant challenges in differential diagnosis. Here, we present a case of generalized lymphadenopathy initially misdiagnosed as IgG4-RD, which demonstrated a poor response to hormonal therapy. Subsequent pathological biopsy and immunohistochemical analysis ultimately confirmed the diagnosis of CD. This case underscores the limitations of relying solely on serum IgG4 levels as a diagnostic marker to distinguish CD from IgG4-RD. Comprehensive evaluation, including clinical presentation, organ involvement, serological and pathological findings, as well as therapeutic response, is essential to ensure accurate diagnosis and timely management.

Indexed as

Castleman DiseaseDiagnostic ErrorsImmunoglobulin GImmunoglobulin G4-Related DiseaseBiomarkersBiopsyDiagnosis, DifferentialFemaleHumansMaleMiddle AgedBiomarkersImmunoglobulin Gaccurate diagnosisCastleman diseaseIgG4-related diseaseimmune-mediated disorderslymphadenopathy

Identifiers

PMID39935479
PMCPMC11810934

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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.