Evidence map›Paper›PMID 41822473›Full record

ArticleFrontiers in immunology2026

Case Report: The entanglement of infection and autoimmunity: a case of Caplan syndrome.

Zilin Xiong, Yu Wu, Jia Tan, Xinchuan Chen, Jiajia Dong

Abstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 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
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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

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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

5 authors.

Zilin Xiong *Department of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yu Wu *West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jia TanDepartment of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Xinchuan ChenDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Jiajia DongDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caplan syndrome is a rare disorder characterized by the coexistence of pneumoconiosis and rheumatoid arthritis (RA), primarily observed in individuals with silica or coal dust exposure. Data on disease behavior in the context of incomplete or irregular immunosuppressive therapy remain limited. This case report describes a 56-year-old man with a history of mixed dust exposure and smoking who presented with recurrent fever, chest pain, and polyarthralgia. Despite being diagnosed and treated for pulmonary tuberculosis and cryptococcosis, his respiratory and articular symptoms persisted. Serological tests revealed persistently elevated rheumatoid factor (RF) and anticitrullinated peptide antibody (ACPA), while a lung biopsy demonstrated chronic inflammation with carbon deposition, confirming Caplan syndrome. Retrospective analysis indicated that elevations of RF and ACPA preceded observable radiological and pathological changes. Notably, inflammatory markers continued to rise significantly even after infections were controlled and despite only episodic glucocorticoid use. This case highlights the importance of early serological monitoring and comprehensive management in high-risk patients and underscores that, rather than being viewed merely as complications, infections in autoimmune contexts should be recognized as potential triggers and aggravators of immune dysregulation, warranting heightened vigilance in both diagnosis and management.

Indexed as

AutoimmunityCaplan SyndromeAnti-Citrullinated Protein AntibodiesHumansMaleMiddle AgedRheumatoid FactorAnti-Citrullinated Protein AntibodiesRheumatoid FactorautoimmuneCaplan syndromeinfectionpneumoconiosisrheumatoid arthritis

Identifiers

PMID41822473
PMCPMC12976004

What OpenQuestion holds

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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.