Evidence map›Paper›PMID 42638791›Full record

SynthesisFrontiers in immunology2026

Environmental exposures in autoimmune inflammatory rheumatic diseases: a priority-based evidence map, immune-mechanism integration audit and research agenda.

Chuanwei Zhang, Lijun Pang, Ziheng Zhu, Jianing Wang, Chuanbing Huang

Abstract readReviewSystematic Review
In one paragraph

Synthesis 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
–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

5 authors.

Chuanwei Zhang *Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Lijun Pang *Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Ziheng ZhuDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Jianing WangDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Chuanbing HuangDepartment of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Environmental exposures have been hypothesised to influence immune tolerance, but human studies of autoimmune inflammatory rheumatic diseases (AIRDs) often report exposure-disease associations without measuring immune intermediates. We mapped the structure, directionality, immune-mechanism integration and research priorities of this literature. Methods: Web of Science Core Collection and Scopus were searched on 18 May 2026 for English-language article/review records published during 2005-2025; non-original publications were excluded during eligibility assessment. Of 12,497 deduplicated records screened at title/abstract level, a predefined prioritisation strategy selected 2,632 reports for focused coding. Four high-density exposure-AIRD cells underwent SWiM-aligned direction-of-effect synthesis and focused OHAT-style risk-of-bias assessment, 64 cells underwent consensus research-priority scoring, and a post hoc four-level audit assessed immune-mechanism integration. No pooled effect estimates were calculated because exposures, outcomes, designs and analytical approaches were heterogeneous. Results: Of 17,089 records before deduplication, 433 studies were included. Smoking/tobacco exposures dominated (n = 215, 49.7%), and rheumatoid arthritis was the most studied AIRD (n = 254, 58.7%). Twenty-five studies (5.8%) directly measured a pathway-proximal intermediary or omics readout, 79 (18.2%) measured an immune, serologic, complement or inflammatory biomarker, and 266 (61.4%) did not integrate an immune endpoint. Among 199 classifiable study-cell entries in four dense cells, mixed (n = 93) and positive/harmful (n = 91) directions were nearly balanced. Alternative priority-scoring schemes showed high rank concordance, and smoking/tobacco × systemic sclerosis remained within the top three priorities. Discussion: This priority-based evidence map identifies a large but uneven association literature with limited direct immune-mechanism integration and supports more rigorous exposure assessment, immune phenotyping, mixture-aware analyses and geographically diverse research.

Indexed as

Autoimmune DiseasesEnvironmental ExposureRheumatic DiseasesHumansautoimmune inflammatory rheumatic diseasesenvironmental epidemiologyevidence gap mapexposomeimmune biomarkersresearch priorityrisk of bias

Identifiers

PMID42638791
PMCPMC13500649

What OpenQuestion holds

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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.