Evidence map›Paper›PMID 40660289›Full record

Observational studyOrphanet journal of rare diseases2025

Impact of body mass index on clinical presentation and prognosis in myasthenia gravis.

Hong-Xi Chen, Zi-Ya Wang, Na-Na Zhang, Xue Lin, Zi-Yan Shi, Xiao-Fei Wang, Ying Zhang, Qin Du, Ling-Yao Kong, Dong-Ren Sun and 6 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Hong-Xi Chen *Department of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Zi-Ya Wang *Department of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Na-Na ZhangDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Xue LinDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Zi-Yan ShiDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Xiao-Fei WangDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Ying ZhangDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Qin DuDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Ling-Yao KongDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Dong-Ren SunDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Rui WangDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Yang-Yang ZhangDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Shuang-Jie LiDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China.
Yu-Wei DaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Hui-Yu FengDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hong-Yu ZhouDepartment of Neurology, West China Hospital, Sichuan University, Guo Xue xiang #37, Chengdu, 610041, China. zhouhy@scu.edu.cn.ORCID http://orcid.org/0000-0002-7637-1305

Funding

China's National Key R&D Program 2017YFC0907700National Natural Science Foundation of China 82201494National Natural Science Foundation of China 82471376
6 · The paper itself

Abstract

backgroundThe literature lacks consistent information on the correlation between baseline body mass index (BMI), clinical presentation, and prognosis in patients with myasthenia gravis (MG). This observational multicenter prospective cohort study included patients with MG from February 2017 to June 2023, categorizing them by baseline BMI. The primary outcome was the time to generalization of ocular MG. Secondary outcomes included the time to Activities of Daily Living (ADL) response and Minimal Symptom Expression (MSE). Kaplan-Meier curves and multivariable Cox proportional hazards regression models were used to assess the impact of BMI on these outcomes.

resultsOut of 940 MG patients (510 women) included, 524 had a low BMI and 416 had a high BMI, with a median age of 50.00 years. Patients in the high BMI group were significantly older (p < 0.001), had a lower percentage of females (p < 0.001), and had a shorter disease duration (p = 0.014) compared to those with a low BMI. They also had higher rates of ocular onset (p < 0.001), ocular MG classification (p = 0.001), and acetylcholine receptor antibody seropositivity (p = 0.007), but a lower incidence of thymectomy (p = 0.027). During a median follow-up of 33.00 months, the adjusted Cox models revealed that a higher baseline BMI was associated with an increased risk of ocular MG generalization (HR 1.06; 95% CI 1.01-1.11; p = 0.026), but not with ADL response (HR 0.99; 95% CI 0.95-1.04; p = 0.779) or MSE (HR 0.97; 95% CI 0.92-1.02; p = 0.240).

conclusionsA higher baseline BMI was associated with an increased risk of ocular MG generalization but not with ADL response or MSE.

Indexed as

Body Mass IndexMyasthenia GravisAdultAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesActivities of daily living responseBody mass indexGeneralization of ocular myasthenia GravisMinimal symptom expressionMyasthenia Gravis

Identifiers

PMID40660289
PMCPMC12261841

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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.