Evidence map›Paper›PMID 42638565›Full record

ArticleCNS neuroscience & therapeutics2026

Association of Demographic, Clinical, and Environmental Factors With Disease Severity in Adult Myasthenia Gravis: A Multicenter Cross-Sectional Study.

Haoran Liu, Jingsi Wang, Wenjia Zhu, Ting Chang, Hongxi Chen, Chao Sun, Rongjing Guo, Zhe Ruan, Fangfang Bi, Jing Li and 18 more

Abstract readMulticenter Study
In one paragraph

Article in CNS neuroscience & therapeutics, 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

28 authors.

Haoran LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0005-1015-8981
Jingsi WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-0701-8425
Wenjia ZhuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ting ChangDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0002-7546-8017
Hongxi ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Chao SunDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0009-0006-7160-6976
Rongjing GuoDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0009-0002-0662-2110
Zhe RuanDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0002-8190-4022
Fangfang BiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Jing LiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Jianwen WangDepartment of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Shu ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Qi WenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-5556-9419
Yaye WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-0505-3243
Yun LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Nairong XieDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0008-4616-2861
Yuting JiangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yan LuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Li DiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-6359-7455
Min XuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Min WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Hai ChenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-9456-8569
Xinmei WenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0006-7260-2248
Jianying DuoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yue HuangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Huiyu FengDepartment of Neurology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0003-1153-5919
Hongyu ZhouDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-7637-1305
Yuwei DaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-0318-148X

Funding

Clinical Cohort Study of Myasthenia Gravis, National Key R&D Program of China, Precision Medicine Project 2017YFC0907700National Natural Science Foundation of China 62171299National Natural Science Foundation of China 82571595
6 · The paper itself

Abstract

backgroundThe severity of myasthenia gravis (MG) varies significantly among individuals, yet the factors underlying this heterogeneity are not fully understood. This study aimed to investigate the association between demographic, clinical, and environmental factors and the severity of MG.

methodsFrom February 2017 to December 2021, adult patients registered in the national MG database were enrolled in this cross-sectional study. Baseline data on demographic, clinical, and environmental factors (including the natural environment, socioeconomic status, and lifestyle) were collected. Disease severity was classified as mild or moderate to severe using the MG Activities of Daily Living (MG-ADL) scale and the Quantitative MG (QMG) scale. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for these associations.

resultsA total of 2468 patients were included. The median MG-ADL score was 3.0 (interquartile range [IQR] 1.0-6.0), and the median QMG score was 6.0 (IQR 3.0-9.0). Higher MG-ADL scores were associated with age at onset ≥ 65 years (OR 1.85, 95% CI 1.32-2.58), underweight (2.03, 1.35-3.06), generalized onset (2.80, 2.26-3.48), and thymoma (1.70, 1.26-2.30). In contrast, overweight or obesity (OR 0.65, 95% CI 0.52-0.82), medium altitudes (0.64, 0.46-0.90), high educational attainment (0.68, 0.49-0.94), and high monthly household income (0.71, 0.53-0.96) were inversely associated with MG-ADL scores. Factors associated with higher QMG scores included female sex (OR 1.75, 95% CI 1.28-2.37), age at onset ≥ 65 years (1.91, 1.35-2.71), generalized onset (2.50, 2.00-3.13), thymoma (1.97, 1.43-2.71), medium latitudes (1.53, 1.08-2.16), and high altitudes (1.65, 1.10-2.47). Lower QMG scores were correlated with overweight or obesity (OR 0.78, 95% CI 0.61-0.99), thymectomy (0.57, 0.40-0.81), medium altitudes (0.70, 0.49-0.99), and medium sunlight duration (0.67, 0.49-0.93), as well as higher concentrations of particulate matter with an aerodynamic diameter of ≤ 2.5 μm and higher household income.

conclusionIn addition to demographic and clinical factors, environmental factors may also influence MG severity. Further research is warranted to clarify these associations and their underlying mechanisms.

Indexed as

EnvironmentMyasthenia GravisSeverity of Illness IndexActivities of Daily LivingAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk Factorsfactorlifestylemyasthenia gravisnatural environmentseveritysocioeconomic status

Identifiers

PMID42638565
PMCPMC13504371

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.