Evidence map›Paper›PMID 39088069›Full record

SynthesisEuropean journal of epidemiology2024

Incidence and prevalence of Alzheimer's disease in China: a systematic review and meta-analysis.

Qianqian Ji, Jingqi Chen, Yafei Li, Enxiang Tao, Yiqiang Zhan

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. The bidirectional mechanistic links between Alzheimer's disease and cardiovascular disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. [Sulforaphane reduces reactive astrocyte-mediated neuron apoptosisNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

5 authors.

Qianqian JiDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, 66 Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, China.ORCID http://orcid.org/0009-0002-3203-4208
Jingqi ChenSchool of Medicine, Sun Yat-Sen University, 66 Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, China.
Yafei LiSchool of Medicine, Sun Yat-Sen University, 66 Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, China.
Enxiang TaoDepartment of Neurology, The Eighth Affiliated Hospital, Sun Yat-Sen University, 3025 Shennan Zhong Road, Futian District, Shenzhen, 518033, Guangdong, China. taoex@mail.sysu.edu.cn.
Yiqiang ZhanDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, 66 Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, China. zhanyq8@mail.sysu.edu.cn.

Funding

Pearl River Scholar Program of Guangdong Province 0920220206
6 · The paper itself

Abstract

As China faces demographic shifts and socioeconomic changes, the burden of Alzheimer's disease (AD) and associated cognitive impairments is increasing dramatically, with significant implications for public health and the economy. This systematic review and meta-analysis aims to provide a comprehensive assessment of the prevalence and incidence of AD across China. Drawing from an extensive search of international and Chinese databases up to August 27, 2023, including PubMed, Embase, and the Cochrane Library, we synthesized data from 105 studies. Our analysis reveals a combined prevalence of AD of 3.48% within a sample of 626,276 elderly individuals and an incidence rate of 7.90 per 1000 person-years. Subgroup and meta-regression analyses highlight age and gender as pivotal factors influencing these epidemiological patterns. Notably, significant heterogeneity exists due to variations in diagnostic criteria and study quality, impacting the comparability of findings. This meta-analysis underscores the need for continued research into demographic and modifiable risk factors influencing AD, while emphasizing standardized reporting practices to address these limitations and improve the understanding of AD's challenge in China.

Indexed as

Alzheimer DiseaseAgedChinaFemaleHumansIncidenceMalePrevalenceRisk FactorsAlzheimer’s diseaseIncidenceMeta-analysisPrevalence

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.