Evidence map›Paper›PMID 41282068›Full record

ArticleResearch square2025

Digital Clock Assessment in South Asian Setting: Pilot study.

Ram Jagannathan, Deepa Mohan, Rani Komal, Dimple Kondal, Poongothai Subramani, Priyanka Menon, Rima Pai, Ranjith Mohan Anjana, Mohammed K Ali, Sailesh Mohan and 7 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Ram JagannathanEmory University.
Deepa MohanIDF Centre of Excellence in Diabetes Care.
Rani KomalCentre for Chronic Disease Control.
Dimple KondalCentre for Chronic Disease Control.
Poongothai SubramaniIDF Centre of Excellence in Diabetes Care.
Priyanka MenonAugusta University.
Rima PaiEmory University.
Ranjith Mohan AnjanaIDF Centre of Excellence in Diabetes Care.
Mohammed K AliEmory University.
Sailesh MohanCentre for Chronic Disease Control.
Suvarna AlladiNational Institute of Mental Health and Neurosciences.
Nikhil TandonAll India Institute of Medical Sciences.
Dorairaj PrabhakaranCentre for Chronic Disease Control.
Viswanathan MohanIDF Centre of Excellence in Diabetes Care.
Allan I LeveyEmory University School of Medicine.
K M Venkat NarayanEmory University.
Felicia C GoldsteinEmory University School of Medicine.

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan · 2022 to 2026
$13.4M
P-CARRS-BRAIN: Multi-domain (genetic, socio-behavioral, vascular) risk factors and prediction of Alzheimer’s Disease continuum in South Asians in IndiaR01AG089759 · NIA · EMORY UNIVERSITY · PI Suvarna Alladi, ALLAN I LEVEY · 2024 to 2026
$12.8M
Molecular Prediction, Disease Progression, and Type 2 Diabetes (T2D) Phenotypes in South AsiansR01DK139632 · NIDDK · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan, Yan Sun · 2025 to 2026
$1.1M
NHLBI NIH HHS HHSN268200900026CNHLBI NIH HHS P01 HL154996NIA NIH HHS R01 AG089759NIDDK NIH HHS R01 DK139632
6 · The paper itself

Abstract

As cognitive impairment becomes a growing burden in low- and middle-income countries, scalable tools for early detection are urgently needed. This pilot study evaluated the feasibility and performance of a tablet-based digital Clock Drawing Test (DCTclock) among 303 adults aged 50 years and older from the population-based CARRS cohort in urban India. Participants completed both the tablet-based DCTclock and the paper-based Mini-Cog, which was used to classify cognitive status (≤ 2 vs. ≥3). DCTclock administration required less than four minutes, and 99.3% of tests yielded analyzable outputs. Compared with cognitively unimpaired participants (n = 252), those classified as impaired (n = 51) scored significantly lower on the DCTclock total score and subdomains, particularly spatial reasoning and information processing. Performance was lower with older age and lower educational attainment (both p < 0.001) but did not differ by sex. The DCTclock demonstrated moderate discriminative accuracy for Mini-Cog-defined impairment (AUC = 0.669), and each interquartile range higher total score was associated with 52% lower odds of impairment (OR = 0.48; 95% CI, 0.32-0.70). Using established FDA thresholds, participants scoring below 60 had 3.35-fold greater odds of impairment compared with those scoring 75 or higher, and those scoring 60-74 had 1.93-fold increased odds. In sensitivity analyses, the ROC-derived Youden cut point of 38 identified impaired participants with 3.95-fold greater odds of Mini-Cog impairment. These findings demonstrate the feasibility and potential utility of digital clock drawing for cognitive screening in diverse, resource-limited settings, supporting its broader application in aging surveillance and dementia risk stratification.

Identifiers

PMID41282068
PMCPMC12636737

What OpenQuestion holds

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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.