Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 607

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Estimated Burden of Stroke in China in 2020

Open access
Tu, Wen-Jun, Zhao, Zhenping, Yin, Peng, Cao, Lei, Zeng, Jingsheng, Chen, Huisheng, Fan, Dongsheng, Fang, Qi, Gao, Pei, Gu, Yuxiang, Tan, Guojun, Han, Jianfeng, He, Li, Hu, Bo, Hua, Yang, Kang, Dezhi, Li, Hongyan, Liu, Jianmin, Liu, Yuanli, Lou, Min, Luo, Benyan, Pan, Suyue, Peng, Bin, Ren, Lijie, Wang, Lihua, Wu, Jian, Xu, Yuming, Xu, Yun, Yang, Yi, Zhang, Meng, Zhang, Shu, Zhu, Liangfu, Zhu, Yicheng, Li, Zixiao, Chu, Lan, An, Xiuli, Wang, Lingxiao, Yin, Meng, Li, Mei, Yin, Li, Yan, Wei, Li, Chuan, Tang, Junli, Zhou, Maigeng, Wang, Longde·2023·JAMA Network Open

Abstract

Importance: Stroke is the leading cause of death in China. However, recent data about the up-to-date stroke burden in China are limited. Objective: To investigate the urban-rural disparity of stroke burden in the Chinese adult population, including prevalence, incidence, and mortality rate, and disparities between urban and rural populations. Design, Setting, and Participants: This cross-sectional study was based on a nationally representative survey that included 676 394 participants aged 40 years and older. It was conducted from July 2020 to December 2020 in 31 provinces in mainland China. Main Outcomes and Measures: Primary outcome was self-reported stroke verified by trained neurologists during a face-to-face interviews using a standardized protocol. Stroke incidence were assessed by defining first-ever strokes that occurred during 1 year preceding the survey. Strokes causing death that occurred during the 1 year preceding the survey were considered as death cases. Results: The study included 676 394 Chinese adults (395 122 [58.4%] females; mean [SD] age, 59.7 [11.0] years). In 2020, the weighted prevalence, incidence, and mortality rates of stroke in China were 2.6% (95% CI, 2.6%-2.6%), 505.2 (95% CI, 488.5-522.0) per 100 000 person-years, and 343.4 (95% CI, 329.6-357.2) per 100 000 person-years, respectively. It was estimated that among the Chinese population aged 40 years and older in 2020, there were 3.4 (95% CI, 3.3-3.6) million incident cases of stroke, 17.8 (95% CI, 17.5-18.0) million prevalent cases of stroke, and 2.3 (95% CI, 2.2-2.4) million deaths from stroke. Ischemic stroke constituted 15.5 (95% CI, 15.2-15.6) million (86.8%) of all incident strokes in 2020, while intracerebral hemorrhage constituted 2.1 (95% CI, 2.1-2.1) million (11.9%) and subarachnoid hemorrhage constituted 0.2 (95% CI, 0.2-0.2) million (1.3%). The prevalence of stroke was higher in urban than in rural areas (2.7% [95% CI, 2.6%-2.7%] vs 2.5% [95% CI, 2.5%-2.6%]; P = .02), but the incidence rate (485.5 [95% CI, 462.8-508.3] vs 520.8 [95% CI, 496.3-545.2] per 100 000 person-years; P < .001) and mortality rate (309.9 [95% CI, 291.7-328.1] vs 369.7 [95% CI, 349.1-390.3] per 100 000 person-years; P < .001) were lower in urban areas than in rural areas. In 2020, the leading risk factor for stroke was hypertension (OR, 3.20 [95% CI, 3.09-3.32]). Conclusions and Relevance: In a large, nationally representative sample of adults aged 40 years or older, the estimated prevalence, incidence, and mortality rate of stroke in China in 2020 were 2.6%, 505.2 per 100 000 person-years, and 343.4 per 100 000 person-years, respectively, indicating the need for an improved stroke prevention strategy in the general Chinese population.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamanetworkopen.2023.1455

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 34 references

Cited by

See all 607

Metadata

Authors
Tu, W.-J., Zhao, Z., Yin, P., Cao, L., Zeng, J., Chen, H., Fan, D., Fang, Q., Gao, P., Gu, Y., Tan, G., Han, J., He, L., Hu, B., Hua, Y., Kang, D., Li, H., Liu, J., Liu, Y., Lou, M., Luo, B., Pan, S., Peng, B., Ren, L., Wang, L., Wu, J., Xu, Y., Xu, Y., Yang, Y., Zhang, M., Zhang, S., Zhu, L., Zhu, Y., Li, Z., Chu, L., An, X., Wang, L., Yin, M., Li, M., Yin, L., Yan, W., Li, C., Tang, J., Zhou, M., & Wang, L.
Venue
JAMA Network Open
Published
2023-03-02
Volume
6
Issue
3
Pages
e231455
ISSN
2574-3805 (ISSN-L)
OpenAlex
W4322758832
Cited by
607
References
34
FWCI
101.69
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Estimated Burden of Stroke in China in 2020. https://app.cochat.ai/papers/10.1001/jamanetworkopen.2023.1455
The paper
Tu, W.-J., Zhao, Z., Yin, P., Cao, L., Zeng, J., Chen, H., Fan, D., Fang, Q., Gao, P., Gu, Y., Tan, G., Han, J., He, L., Hu, B., Hua, Y., Kang, D., Li, H., Liu, J., Liu, Y., . . . Wang, L. (2023). Estimated Burden of Stroke in China in 2020. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2023.1455

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.