Evidence map›Paper›PMID 29593385›Full record

ArticleClinical interventions in aging2018

Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service - Health screening 11-year follow-up study.

Young Gon Kang, Eunkyung Suh, Jae-Woo Lee, Dong Wook Kim, Kyung Hee Cho, Chul-Young Bae

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. No winners or losers: clinical chemistry-based biological aging metrics perform similarly across cohorts and health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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  20. Biological Age Predictors: The Status Quo and Future Trends.International journal of molecular sciences · 2022
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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

6 authors.

Young Gon KangDepartment of R&D, MediAge Research Center, Seongnam, Republic of South Korea.
Eunkyung SuhDepartment of Family Medicine, College of Medicine, CHA University, Chaum, Seoul, Republic of South Korea.
Jae-Woo LeeDepartment of Family Medicine, College of Medicine, Chungbuk National University, Cheongju, Republic of South Korea.
Dong Wook KimDepartment of Policy Research Affairs, National Health Insurance Service Ilsan Hospital, Goyang, Republic of South Korea.
Kyung Hee ChoDepartment of Family Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of South Korea.
Chul-Young BaeDepartment of R&D, MediAge Research Center, Seongnam, Republic of South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA comprehensive health index is needed to measure an individual's overall health and aging status and predict the risk of death and age-related disease incidence, and evaluate the effect of a health management program. The purpose of this study is to demonstrate the validity of estimated biological age (BA) in relation to all-cause mortality and age-related disease incidence based on National Sample Cohort database. PATIENTS AND

methodsThis study was based on National Sample Cohort database of the National Health Insurance Service - Eligibility database and the National Health Insurance Service - Medical and Health Examination database of the year 2002 through 2013. BA model was developed based on the National Health Insurance Service - National Sample Cohort (NHIS - NSC) database and Cox proportional hazard analysis was done for mortality and major age-related disease incidence.

resultsFor every 1 year increase of the calculated BA and chronological age difference, the hazard ratio for mortality significantly increased by 1.6% (1.5% in men and 2.0% in women) and also for hypertension, diabetes mellitus, heart disease, stroke, and cancer incidence by 2.5%, 4.2%, 1.3%, 1.6%, and 0.4%, respectively (

conclusionEstimated BA by the developed BA model based on NHIS - NSC database is expected to be used not only as an index for assessing health and aging status and predicting mortality and major age-related disease incidence, but can also be applied to various health care fields.

Indexed as

Health StatusHealth Status IndicatorsAdultAgedAgingDatabases, FactualDiabetes MellitusFemaleFollow-Up StudiesGeriatric AssessmentHumansMaleMiddle AgedNeoplasmsProportional Hazards ModelsRepublic of Koreaagingbiological agecomprehensive indexhealth

Identifiers

PMID29593385
PMCPMC5865564

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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.