Evidence map›Paper›PMID 42185797›Full record

ArticleBMC public health2026

Development and validation of an Online Comprehensive Geriatric Screening (O-CGS) Tool.

Supakorn Chansaengpetch, Ornicha Thititagul, Somboon Intalapaporn, Narongpon Dumavibhat, Angkana Jongsawadipatana, Orawan Supapueng, Arunotai Siriussawakul, Piyapat Dajpratham, Varalak Srinonprasert, Prapat Suriyaphol and 3 more

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2026. 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
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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

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

13 authors.

Supakorn ChansaengpetchDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0003-4076-7751
Ornicha ThititagulDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Somboon IntalapapornDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Narongpon DumavibhatDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Angkana JongsawadipatanaDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Orawan SupapuengDivision of Clinical Epidemiology, Department of Research, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Arunotai SiriussawakulSiriraj Academic Center of Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Piyapat DajprathamSiriraj Academic Center of Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Varalak SrinonprasertSiriraj Academic Center of Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Prapat SuriyapholDivision of Bioinformatics and Data Management for Research, Research Group and Research Network Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Suwannee SuraseranivongseSiriraj Academic Center of Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Visit VamvanijSiriraj Academic Center of Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Weerasak MuangpaisanDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. drweerasak@gmail.com.ORCID http://orcid.org/0000-0001-5863-3597

Funding

National Research Council of Thailand N34A660875
6 · The paper itself

Abstract

backgroundThe healthcare landscape is undergoing a significant transformation through digitalization. Embracing digital technology presents an opportunity to enhance the health and well-being of older adults. Therefore, this study aimed to develop and evaluate the validity and usability of an online comprehensive geriatric screening (O-CGS) tool for intrinsic capacity declines.

methodsBetween September 2023 and September 2024, 381 community-dwelling Thai adults aged 55 and above were recruited at the health check-up clinic of a university hospital in Bangkok, Thailand, using convenience sampling. To evaluate the validity, all participants had completed an initial online self-administered assessment followed by face-to-face reference standard assessments. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, negative predictive value, and accuracy were reported.

resultsAmong 381 participants, the median age was 64.8 years, with 85% being female. The prevalence of geriatric syndromes ranged from 2.4% (frailty) to 50% (cognitive impairment). The sensitivity of the screening tool varied from 48% (for sarcopenia) to 100% (for depression), while specificity ranged from 54% (for fall risk) to 98% (for sarcopenia). Notably, the newly developed online cognitive screening tool demonstrated acceptable performance in detecting mild cognitive impairment and severe cognitive impairment, with a sensitivity of 61% and specificity of 63%. On average, participants spent 37 min completing the O-CGS. Additionally, participants reported high satisfaction with the tool, with a mean score of 4.4 out of 5.

conclusionsThis study demonstrated the satisfactory performance and feasibility of a self-administered O-CGS tool, aligning with the healthy aging concept.

Indexed as

Geriatric AssessmentInternetMass ScreeningAgedAged, 80 and overFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityThailandCommunity health careDelivery of health careDigital technologyGeriatric syndromesHealthy agingIntrinsic capacityScreening

Identifiers

PMID42185797
PMCPMC13383497

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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.