Evidence map›Paper›PMID 33282225›Full record

SynthesisJournal of global health2020

Systematic review estimating the burden of dementia in the WHO Southeast Asia Region using Bayesian and frequentist approaches.

Adrienne N Poon, Yawen Xiang, Yelena Zavalishina, Shant Ayanian, Christopher F Aitken, Andrew C Procter, Igor Rudan, Kit Yee Chan

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  7. Review
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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.

Adrienne N PoonCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
Yawen XiangCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
Yelena ZavalishinaCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
Shant AyanianDepartment of Medicine, School of Medicine & Health Sciences, George Washington University; Washington, District of Columbia, USA.
Christopher F AitkenDepartment of Economics, School of Social Sciences, Heriot-Watt University, Edinburgh, UK.
Andrew C ProcterAccenture Federal Services, Arlington, Virginia, USA.
Igor RudanCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.
Kit Yee ChanCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid increase in life expectancy in low- and middle-income countries including the World Health Organization's Southeast Asia Region (SEAR) has resulted in an increase in the global burden of dementia, which is expected to become a leading cause of morbidity. Accurate burden estimates are key for informing policy and planning. Given the paucity of data, estimates were developed using both a Bayesian methodology and as well as a traditional frequentist approach to gain better insights into methodological approaches for disease burden estimates.

methodsSeven databases were searched for studies published between 2010-2018 regarding dementia prevalence in SEAR, generating 8 relevant articles. A random-effects model (REM) and a Bayesian normal-normal hierarchical model (NNHM) were used to obtain the pooled prevalence estimate of dementia for people aged 60 and above in SEAR. The latter model was also developed to estimate age-specific dementia prevalence. Using UN population estimates for SEAR, total and age-specific projections of the burden of dementia in 2015, 2020 and 2030 were calculated.

resultsThe prevalence of dementia in SEAR was found to be 3% (95% confidence interval (CI) = 2-6%) in those above age 60 based on REM, and 3.1% (95% credible interval = 1.5-5.0%) based on the NNHM. The estimated prevalence varies with age, increasing from 1.6% (95% credible interval = 0.8-2.5%) in people aged 60-69 to 12.4% (95% credible interval = 5.6-20%) in people above the age of 80. The risk of developing dementia increased exponentially with age. The number of people living with dementia in SEAR in 2015 was estimated at 5.51 million (95% credible interval = 2.66-8.82), with projections of 6.66 million (95% credible interval = 3.21-10.7) in 2020 and 9.6 million (95% credible interval = 4.62-15.36) in 2030.

conclusionThe burden of dementia in SEAR is substantial and will continue to increase rapidly by 2030. The lack of research focusing on dementia in SEAR points to a significant under-recognition of this disease. The projected rise in dementia cases in the future should prompt urgent governmental response to address this growing public health issue. We also argue that given the overall paucity of data for the region, the Bayesian approach offers a promising methodology for improved estimates of disease prevalence and burden and should continue to be explored.

Indexed as

DementiaAgedAged, 80 and overAsia, SoutheasternBayes TheoremCost of IllnessCross-Sectional StudiesHumansMiddle AgedPrevalenceWorld Health Organization

Identifiers

PMID33282225
PMCPMC7688200

What OpenQuestion holds

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LicenceCC BY
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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.