Evidence map›Paper›PMID 40677849›Full record

ArticleThe Lancet regional health. Western Pacific2025

Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational study.

Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia and 18 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 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. Thymic central tolerance takes centre stage in autoimmune disease.The Lancet regional health. Western Pacific · 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

28 authors.

Haoxiao ChangDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Junqiang YanKey Laboratory of Neuromolecular Biology, Department of Neurology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Anxin WangDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ningning WangDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Peng LiuCenter of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Yemin ShiBeijing Academy of Artificial Intelligence, Beijing, China.
Xin ZhaoDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jinqiao ZhuDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuan CaiDivision of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region of China.
Xue XiaDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yunyi HaoDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shiyi YinKey Laboratory of Neuromolecular Biology, Department of Neurology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Jing WangDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xinli WangDepartment of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
Lina SunDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jia MaDepartment of Neurology, Beijing Shunyi Hospital, Beijing Shunyi Teaching Hospital of Capital Medical University, Beijing, China.
Xiaoyu HuangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Haonan GuanDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
De-Cai TianDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kaibin ShiDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ganqin DuKey Laboratory of Neuromolecular Biology, Department of Neurology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Wenhao HuangBeijing Academy of Artificial Intelligence, Beijing, China.
Guoyan QiCenter of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Hao LiDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yongjun WangDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fu-Dong ShiDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhang ZhangDepartment of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
Wei-Na JinDepartment of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Autoimmune diseases comprise a spectrum of illnesses stemming from a common etiology: the loss of self-tolerance. The organ crucial for the establishment and maintenance of central and peripheral tolerance, namely the thymus, has rarely been explored across these diseases. Methods: In a multicentre radiological case-control study, we characterized the thymus in 16 prevalent autoimmune diseases using chest computed tomography (CT) images from patients and age- and sex-1:1 matched healthy controls. Participants underwent a routine CT examination, and baseline information on demographic, clinical, and potential risk factors was gathered at the time of enrollment. A semi-automatic algorithm was developed and employed for the analysis of thymic radiological characteristics, encompassing structural features and density. Thymic fatty replacement was evaluated using a four-point visual scoring scale (0-3). This study is registered with the Chinese Clinical Trial Registry (ChiCTR2300078417). Findings: After matching, 2441 participants in each group were included in case-control study. As individuals age, the thymus undergoes involution, leading to marked changes in thymic features over time, yet the degree of thymic feature alterations varies among groups. Compared to healthy controls, multiple characteristics of the thymus were distinct in the autoimmune disease patients, featuring higher trapezoidal proportions (68.21% vs 46.29%; p < 0.0001), larger bilobed size, and reduced density (-9.50; 95% CI, -10.95 to -8.04; p < 0.0001). In addition, the autoimmune disease patients displayed a greater proportion of fatty replacement (score 0, score 1, and score 2, 94.23% vs 87.83%, p < 0.0001). This consistent trend of thymic characteristic alternations, was observed across the 16 diseases (albeit varying in degree) and in newly diagnosed as early-stage patients. Notably, the subgroup for female patients of childbearing age (≤49 years) exhibited an especially prominent difference in thymic density (-16.23; 95% CI, -19.19 to -13.26; p < 0.0001 in all comparisons) and in the proportion of fatty replacement (85.37% vs 71.68%; p < 0.0001). Interpretation: Radiological assessments reveal a consistent pattern of exacerbated age-dependent thymic involution across 16 autoimmune diseases, suggesting a common underlying mechanism in the development of these diseases. This mechanism may involve the compromise of self-tolerance due to thymic involution. Funding: The National Key R&D Program of China, the National Science Foundation of China, and the Tianjin Key Medical Discipline (Specialty) Construction Project.

Indexed as

Autoimmune diseasesCTSelf-toleranceThymic involutionThymus

Identifiers

PMID40677849
PMCPMC12270014

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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.