Evidence map›Paper›PMID 33313177›Full record

ArticleAnnals of translational medicine2020

Temporal, geographical and demographic trends of stroke prevalence in China: a systematic review and meta-analysis.

Jinli Liu, Zumin Shi, Ruhai Bai, Jinge Zheng, Shuang Ma, Junxiang Wei, Guangzhi Liu, Youfa Wang

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

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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

8 authors.

Jinli LiuSchool of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Zumin ShiHuman Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
Ruhai BaiSchool of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Jinge ZhengSchool of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Shuang MaSchool of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Junxiang WeiSchool of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Guangzhi LiuDepartment of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Youfa WangSchool of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has made large efforts to reduce stroke prevalence. We aimed to systematically examine the prevalence of stroke in China over the past two decades.

methodsDatabases, including China National Knowledge Infrastructure, Wanfang, VIP, and PubMed, were systematically searched for studies published in English or Chinese that reported stroke prevalence in China during 2000-2017. Meta-analysis was conducted to estimate the pooled stroke prevalence and the variations in stroke prevalence subgroups stratified by age, gender, time period, and region.

resultsIn total, 96 papers met the inclusion criteria. Meta-analysis showed that the overall estimated national prevalence was 5.1% (5.0-5.3%) with large variations across regions: 3.1% (2.5-3.6%) in south China, 3.4% (3.0-3.8%) in southwest China, 3.6% (3.3-3.8%) in east China, 5.0% (4.7-5.4%) in central China, 5.8% (4.6-7.1%) in northwest China, 6.0% (5.0-7.0%) in northeast China, and 8.0% (7.4-8.5%) in north China. Men had a higher prevalence than women [7.3% (6.9-7.7%)

conclusionsMen, people being older, or living in northern China had higher stroke prevalence. More vigorous efforts are needed in China to prevent stroke.

Indexed as

Chinameta-analysisStroketrends

Identifiers

PMID33313177
PMCPMC7723598

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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.