Evidence map›Paper›PMID 32815602›Full record

ArticleJournal of the American Geriatrics Society2020

Design and Methodology of the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD).

Jinkook Lee, Pranali Y Khobragade, Joyita Banerjee, Sandy Chien, Marco Angrisani, Arokiasamy Perianayagam, David E Bloom, Aparajit B Dey

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

55 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Superficial white matter and gray matter jointly support cognition among older adults in India.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Jinkook LeeCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Pranali Y KhobragadeCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Joyita BanerjeeAll India Institute of Medical Sciences, New Delhi, India.
Sandy ChienCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Marco AngrisaniCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Arokiasamy PerianayagamInternational Institute for Population Sciences, Mumbai, India.
David E BloomHarvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Aparajit B DeyAll India Institute of Medical Sciences, New Delhi, India.
University of Southern California · USAll India Institute of Medical Sciences · INHarvard University · USInternational Institute for Population Sciences · INRAND Corporation · US

Funding

Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
Harmonized Diagnostic Assessment of Dementia (DAD) for Longitudinal Aging Study of India (LASI)-Genomic study.U01AG064948 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KARDIA, SHARON L, LEE, JINKOOK · 2019 to 2023
$12.5M
Modifiable Protective and Risk Factors of Late-Life Cognitive Health and DementiaRF1AG055273 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LANGA, KENNETH M, LEE, JINKOOK · 2017 to 2017
$4.0M
NIA NIH HHS R01 AG051125NIA NIH HHS RF1 AG055273NIA NIH HHS U01 AG064948
6 · The paper itself

Abstract

BACKGROUND/

objectivesTo provide high-quality data on older adults in India that will enable an in-depth study of late-life cognition and dementia in India and cross-country analysis of risk factors for cognitive aging and dementia.

designThe Longitudinal Aging Study in India (LASI) is a nationally representative survey of health, economic, and social well-being of the Indian population aged 45 and older. Its large sample of more than 70,000 older adults represents not only the country as a whole but also each state. LASI-Diagnostic Assessment of Dementia (DAD) is an in-depth study of late-life cognition and dementia, drawing a subsample of over 3,000 LASI respondents aged 60 and older.

settingParticipants were interviewed at home or in a participating hospital according to their preferences.

participantsAdults aged 60 and older (N = 3,224), along with 3,191 informants. MEASUREMENTS: Respondents underwent a battery of cognitive tests, and informants were interviewed about their cognitive and health conditions. A common set of cognitive tests was selected to enable international comparisons, and additional cognitive tests suitable for illiterate and innumerate populations were also selected. Rich data on risk factors of dementia were collected through health examination, venous blood assays, and genotyping.

resultsThe response rate was 82.9%, varying across sex, education, and urbanicity. Data are available to other researchers.

conclusionLASI-DAD provides an opportunity to study late-life cognition and dementia and their risk factors in the older population in India and to gain further insights through cross-country analysis by pooling data from its international sister studies. J Am Geriatr Soc 68:S5-S10, 2020.

Indexed as

Geriatric AssessmentNeuropsychological TestsResearch DesignAgedAgingCognitionDementiaFemaleHumansIndiaInterviews as TopicLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk Factorscognitioncohort studiesdementia risk factorsHarmonized Cognitive Assessment Protocolpopulation-based research

Identifiers

PMID32815602
PMCPMC7503220
OpenAlexW3080525942

What OpenQuestion holds

Textmetadata
LicenceTDM
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.