Evidence map›Paper›PMID 42491625›Full record

ArticleiScience2026

Sex differences in disease burden in China from 1990 to 2023 triangulating GBD and CHARLS.

Taixiang Liu, Zichen Zhang, Wenwen Lv, Wei Zhou, Zheng Chen, Jinxin Zheng

Abstract read
In one paragraph

Article in iScience, 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
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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

6 authors.

Taixiang LiuChildren's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescent' Health and Diseases, Hangzhou, Zhejiang, China.
Zichen ZhangChildren's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescent' Health and Diseases, Hangzhou, Zhejiang, China.
Wenwen LvClinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei ZhouChildren's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescent' Health and Diseases, Hangzhou, Zhejiang, China.
Zheng ChenChildren's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescent' Health and Diseases, Hangzhou, Zhejiang, China.
Jinxin ZhengSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex and gender shape health across the life course, but nationally comparable evidence on how fatal and non-fatal disease burden differs between females and males in China is needed for health planning. We analyzed Global Burden of Disease 2023 estimates for the 20 leading level-3 causes of age-standardized disability-adjusted life-year rates in China, compared patterns with global estimates, projected trends to 2030, and triangulated selected findings using CHARLS 2018. In 2023, males had greater burden from mortality-driven cardiovascular diseases, cancers, and injuries, especially stroke, ischemic heart disease, lung cancer, falls, and road injuries. Female disadvantage was concentrated in gynecological diseases, musculoskeletal disorders, dementia, depressive symptoms, functional limitation, and older-age fall burden. Smoking, alcohol use, occupational risks, and household air pollution contributed differently by sex. These findings support sex-responsive prevention, rehabilitation, and long-term care strategies in China.

Indexed as

GenderHealth sciencesMedical specialtyMedicinePatient social contextPublic health

Identifiers

PMID42491625
PMCPMC13378381

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.