Evidence map›Paper›PMID 28947447›Full record

ArticleBMJ open2017

Cohort profile: the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) in Korea.

Sang Cheol Seong, Yeon-Yong Kim, Sue K Park, Young Ho Khang, Hyeon Chang Kim, Jong Heon Park, Hee-Jin Kang, Cheol-Ho Do, Jong-Sun Song, Eun-Joo Lee and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 522 papers.

0numbers the graph read from it
0cells of the map it votes in
522citing papers in PubMed
34.4field-weighted citation impact, top 1% 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

522 citing papers in PubMed, 795 citations in OpenAlex.

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462 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Sang Cheol SeongNational Health Insurance Service, Wonju, Korea.
Yeon-Yong KimBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Young Ho KhangDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Jong Heon ParkBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Hee-Jin KangBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Cheol-Ho DoBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Jong-Sun SongBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Eun-Joo LeeBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Seongjun HaBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
Soon Ae ShinGwanak Branch, National Health Insurance Service, Seoul, Korea.
Seung-Lyeal JeongBig Data Steering Department, National Health Insurance Service, Wonju, Korea.
National Health Insurance Service · KRSeoul National University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) is a cohort of participants who participated in health screening programmes provided by the NHIS in the Republic of Korea. The NHIS constructed the NHIS-HEALS cohort database in 2015. The purpose of this cohort is to offer relevant and useful data for health researchers, especially in the field of non-communicable diseases and health risk factors, and policy-maker.

participantsTo construct the NHIS-HEALS database, a sample cohort was first selected from the 2002 and 2003 health screening participants, who were aged between 40 and 79 in 2002 and followed up through 2013. This cohort included 514 866 health screening participants who comprised a random selection of 10% of all health screening participants in 2002 and 2003. FINDINGS TO DATE: The age-standardised prevalence of anaemia, diabetes mellitus, hypertension, obesity, hypercholesterolaemia and abnormal urine protein were 9.8%, 8.2%, 35.6%, 2.7%, 14.2% and 2.0%, respectively. The age-standardised mortality rate for the first 2 years (through 2004) was 442.0 per 100 000 person-years, while the rate for 10 years (through 2012) was 865.9 per 100 000 person-years. The most common cause of death was malignant neoplasm in both sexes (364.1 per 100 000 person-years for men, 128.3 per 100 000 person-years for women). FUTURE PLANS: This database can be used to study the risk factors of non-communicable diseases and dental health problems, which are important health issues that have not yet been fully investigated. The cohort will be maintained and continuously updated by the NHIS.

Indexed as

AdultAgedCross-Sectional StudiesDatabases, FactualFemaleFollow-Up StudiesHealth SurveysHumansMaleMass ScreeningMiddle AgedNational Health ProgramsNoncommunicable DiseasesPrevalenceRepublic of KoreaRisk Factorsadministrative claimsCohort StudiesNational Health Programsrisk factors

Identifiers

PMID28947447
PMCPMC5623538
OpenAlexW2757321799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.