Evidence map›Paper›PMID 41085844›Full record

ArticleEuropean journal of epidemiology2026

An in-depth study of the correlation between Hashimoto's thyroiditis and Sjogren's syndrome: multiple evidences from large cohorts, Mendelian randomization, and transcriptomic analysis.

Yu Du, Zi-Jian Kang, Qiang Tong, Han-Lei Jiang, Ran Cui, Shiow-Ing Wang, James Cheng-Chung Wei, Sheng-Ming Dai

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Yu Du *Department of Rheumatology and Immunology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, China, 200233.
Zi-Jian Kang *Department of Rheumatology and Immunology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, China, 200233.
Qiang TongDepartment of Rheumatology and Immunology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, China, 200233.
Han-Lei JiangDepartment of Rheumatology and Immunology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, China, 200233.
Ran CuiDepartment of Rheumatology and Immunology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, China, 200233.
Shiow-Ing Wang *Center for Health Data Science, Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.
James Cheng-Chung WeiInstitute of Medicine, College of Medicine, Chung Shan Medical University, Taichung, Taiwan. jccwei@gmail.com.
Sheng-Ming DaiDepartment of Rheumatology and Immunology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, China, 200233. shengmingdai@163.com.ORCID http://orcid.org/0000-0001-8876-4205

Funding

National Natural Science Foundation of China 82204722National Natural Science Foundation of China 82271837
6 · The paper itself

Abstract

The co-occurrence of Hashimoto's thyroiditis (HT) and Sjogren's syndrome (SS), two seemingly unrelated diseases that both affect huge amounts of people worldwide, has been indicated previously in several case reports. However, there is a lack of higher-level evidences proving their comorbidity, and the underlying mechanisms remain unelucidated. This in-depth study aims to provide evidences for the comorbidity between HT and SS and explore the genetic and immunological mechanisms that may underlie their occurrence. Leveraging large retrospective cohorts from the collaborative electronic health record database, matched by propensity scores, we evaluated the risk of developing SS in 190,653 patients with HT and the risk of developing HT in 73,306 patients with SS. A Mendelian randomization (MR) approach was applied to investigate the causal relationship between the two conditions. Transcriptomic analysis of GEO datasets further explored common immunological markers. Our large-scale propensity score-matched analysis revealed a significantly higher risk of SS in HT patients compared to controls, with a hazard ratio (HR) of 3.227 and a confidence interval (CI) of 2.987-3.486, over a 20-year follow-up period. Similarly, a reciprocal risk was observed, with SS patients at a higher risk of developing HT (HR, 2.780; CI, 2.568-3.009) compared to controls. In Mendelian randomization study, random-effects IVW method showed a potential causal effect of HT on SS (IVW OR = 1.871, 95% CI = 1.265-2.768; P = 0.002). Furthermore, transcriptomic analysis showed there were 127 common up-regulated differential expressed genes (DEGs) between HT and SS, accounting for 29.4% of upregulated DEGs in HT and 14.5% of upregulated DEGs. Common hub genes in HT and SS were also determined, including CD4, IFNG, CCR7, and ITGAM, suggesting a shared immunopathogenesis and highlighting potential therapeutic targets. Our findings revealed a strong correlation between HT and SS, supported by evidences from clinical cohorts, the genetical causal effect, and shared immunopathogenesis, offering new insights into the cooccurrence of the two diseases.

Indexed as

Hashimoto DiseaseSjogren's SyndromeAdultComorbidityFemaleGene Expression ProfilingHumansMaleMendelian Randomization AnalysisMiddle AgedPropensity ScoreRetrospective StudiesTranscriptomeBioinformatic analysisCohort studyHashimoto's thyroiditisMendelian randomization analysisSjogren’s syndrome

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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.