Evidence map›Paper›PMID 39302371›Full record

ArticleJournal of Alzheimer's disease : JAD2024

Projections of Socioeconomic Costs for Individuals with Dementia in China 2020-2050: Modeling Study.

Yanjuan Wu, Yixuan Liu, Yuyang Liu, Yuntao Chen, Sophia Lobanov-Rostovsky, Yuting Zhang, Yuanli Liu, Eric J Brunner, Eric French, Jing Liao

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Advancing global dementia research through equity and inclusion.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
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

10 authors.

Yanjuan WuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China.
Yixuan LiuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China.
Yuyang LiuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China.
Yuntao ChenDepartment of Epidemiology & Public Health, University College London, London, UK.
Sophia Lobanov-RostovskyDepartment of Epidemiology & Public Health, University College London, London, UK.
Yuting ZhangFaculty of Economics, University of Cambridge, Cambridge, UK.
Yuanli LiuSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Eric J BrunnerDepartment of Epidemiology & Public Health, University College London, London, UK.
Eric FrenchFaculty of Economics, University of Cambridge, Cambridge, UK.
Jing LiaoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous estimates on future socioeconomic costs of dementia in China are inconsistent, and the main drivers of these costs are unclear. Objective: This study projected future socioeconomic costs (healthcare, formal social care, and informal care costs) and value of quality adjusted life years (QALYs) lost to dementia in China and assessed drivers of socioeconomic costs. Methods: Based on our prior projection on dementia cases to 2050 by a Markov model, we forecasted future socioeconomic costs and the value of QALYs from a societal perspective, utilizing the China Health and Retirement Longitudinal Study and the Chinese Longitudinal Healthy Longevity Survey. In our main analysis, dementia incidence increased by 2.9% annually, while sensitivity analyses considered a flat or 1.0% annual decrease in the temporal trend of dementia incidence. Furthermore, we decomposed socioeconomic costs changes (2018 US$) into population growth, population aging, dementia prevalence and average socioeconomic costs per case. Results: The annual socioeconomic costs and value of QALYs lost to dementia will reach $1,233 billion and $702 billion by 2050. If dementia incidence stays constant or decreases by 1.0% annually, the costs and QALYs would respectively decrease by 34% or 43% in 2050. Informal care is currently, and projected to remain, the largest share of socioeconomic costs. Population aging and rising dementia prevalence will mainly drive the growth in socioeconomic costs through 2050. Conclusions: Dementia casts an increasingly large economic burden on Chinese society, mainly driven by fast aging population and growing dementia prevalence.

Indexed as

DementiaHealth Care CostsQuality-Adjusted Life YearsAgedAged, 80 and overChinaCost of IllnessFemaleForecastingHumansIncidenceLongitudinal StudiesMaleMarkov ChainsMiddle AgedPrevalenceAlzheimer’s diseaseChinacosts of quality of life lostdementiamodeling studiessocioeconomic costs

Identifiers

PMID39302371
PMCPMC11491998

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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.