Evidence map›Paper›PMID 32883289›Full record

ArticleHealth and quality of life outcomes2020

Gender differences in quality of life among patients with myasthenia gravis in China.

Dong Dong, Marc Ka-Chun Chong, Yushan Wu, Henry Kaminski, Gary Cutter, Xianhao Xu, Haifeng Li, Chongbo Zhao, Jian Yin, Siyue Yu and 1 more

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Sexual dimorphisms in skeletal muscle: current concepts and research horizons.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
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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

11 authors.

Dong DongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Marc Ka-Chun ChongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Yushan WuJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Henry KaminskiDepartment of Neurology, The George Washington University, Washington, DC, USA.
Gary CutterDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Xianhao XuDepartment of Neurology, Beijing Hospital, Beijing, China.
Haifeng LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chongbo ZhaoDepartment of Neurology, Huashan hospital, Fudan University, Shanghai, China.
Jian YinDepartment of Neurology, Beijing Hospital, Beijing, China.
Siyue YuJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China. siyueyu@cuhk.edu.hk.ORCID http://orcid.org/0000-0001-7668-4777
Jianfeng ZhuSchool of Social Development and Public Policy, Fudan University, Shanghai, China. jfzhu@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyasthenia gravis (MG), a chronic neuromuscular disorder, can adversely affect patients' health-related quality of life (HRQoL), especially in women. The study aimed to evaluate the difference in HRQoL of women and men MG patients and explore the factors that mediate the relationship between gender and HRQoL.

methodsA cross-sectional study was conducted among 1815 patients with MG in China. The revised 15-item MG quality of life scale (MG-QOL15r) was used to access patients' HRQoL in overall, physical, social and emotional domains. Socio-demographic information, diagnosis and treatment history, comorbidities, social support, active lifestyle and the MG activities of daily living scale (MG-ADL) were recorded and compared between women and men using the Student's t-test and Pearson's Chi-square test. Multivariable regression analyses were conducted to identify independent contributors to HRQoL, especially those affecting different gender.

resultsOn average, female patients with MG reported a lower MG-QOL15r score than the males (44.49 ± 29.10 vs 49.32 ± 29.18). The association between gender and patients' HRQoL interacted with the number of comorbidities across the overall, physical and social domains of patients. As the number of comorbidities increased, the scores of HRQoL decreased and it was faster among females than the males (p < 0.05). Moreover, unemployment, exacerbation of the disease, and active lifestyle contributed to the patients' HRQoL across all domains. Unemployment (β = - 4.99 [95%CI, - 7.80 to - 2.18], p < 0.001) and exacerbations (β = - 8.49 [95%CI, - 11.43 to - 5.54], p < 0.001) were correlated with poorer HRQoL; while an active lifestyle had a positive impact on HRQoL (β = 0.28 [95%CI, 0.16 to 0.40], p < 0.001).

conclusionsThe results indicate that the HRQoL of women MG patients was lower than that of men. The relationship between gender and HRQoL is modulated by the number of comorbidities. Thus, to improve the HRQoL of women MG patients, symptomatic treatments might not be enough, their comorbid conditions should be considered as well. Additionally, employment status, MG exacerbations, and an active lifestyle have been found as determining factors of the patients' HRQoL, which suggests future interventions should cope with these factors to improve their quality of life.

Indexed as

Quality of LifeActivities of Daily LivingAdultChinaCross-Sectional StudiesDisease ProgressionFemaleHumansMaleMiddle AgedMyasthenia GravisSex FactorsSurveys and QuestionnairesChinaGender differencesHealth-related quality of lifeMyasthenia gravis

Identifiers

PMID32883289
PMCPMC7470440

What OpenQuestion holds

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LicenceCC BY
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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.