Evidence map›Paper›PMID 31619427›Full record

ArticleBMJ open2019

Cohort profile: Korean Urban Rural Elderly (KURE) study, a prospective cohort on ageing and health in Korea.

Namki Hong, Kwang-Joon Kim, Su Jin Lee, Chang Oh Kim, Hyeon Chang Kim, Yumie Rhee, Yoosik Youm, Jin-Young Choi, Hyun-Young Park

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  10. The diagnostic value of phase angle, an integrative bioelectrical marker, for identifying individuals with dysmobility syndrome: the Korean Urban-Rural Elderly study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
  11. Defining an international cut-off of two-legged countermovement jump power for sarcopenia and dysmobility syndrome.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
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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

9 authors at 2 institutions in 1 country.

Namki Hong *Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Kwang-Joon Kim *Division of Geriatrics, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Su Jin LeeDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Chang Oh KimDivision of Geriatrics, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea cokim@yuhs.ac.ORCID 0000-0002-0773-5443
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Yumie RheeDivision of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Yoosik YoumDepartment of Sociology, Yonsei University College of Social Sciences, Seoul, South Korea.
Jin-Young ChoiDepartment of Radiology, Yonsei University College of Medicine, Seoul, South Korea.
Hyun-Young ParkKorea Centers for Disease Control and Prevention, Cheongju, Korea.
Yonsei University · KRKorea Disease Control and Prevention Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Korean Urban Rural Elderly (KURE) cohort was initiated to study the epidemiologic characteristics, physical performance, laboratory and imaging biomarkers and incidence of age-related diseases in an elderly population with respect to both clinical and social aspects to develop preventive and therapeutic strategies for combatting age-related diseases.

participantsA total of 3517 adults aged 65 or older participated in the cohort at baseline from 2012 to 2015, recruited from three urban districts and one rural district in Korea. The second-wave follow-up survey is now being conducted at a 4-year interval from baseline (2016-2019; follow-up rate 71.5%). The data set included detailed information on anthropometric and socioeconomic factors, functional assessments, image scans (plain radiography, dual-energy X-ray absorptiometry and CT), biospecimens (ie, serum, urine and DNA) and social support networks along with the feasibility of linkage to a national claims database. FINDINGS TO DATE: Mean age of participants at entry was 71.9±4.6 years and 67% were women. From the KURE participants enrolled in baseline recruitment, several studies were published in the fields of cardiometabolic diseases, musculoskeletal health and the association between social support network and diseases in ageing. FUTURE PLANS: Participants will be observed actively and passively every 4-5 years and the first follow-up will be completed in 2020. The KURE data set has strength in comprehensive physical function assessments, quantifiable imaging data sets using CT and detailed information regarding the social support networks of participants from a large community-based elderly Korean population.

Indexed as

AgedAged, 80 and overAgingDatabases, FactualFemaleFollow-Up StudiesGeriatric AssessmentHumansMaleProspective StudiesRepublic of KoreaRisk FactorsRural PopulationSocioeconomic FactorsUrban Populationageingcardiovascular diseaseelderly cohortmusculoskeletal health

Identifiers

PMID31619427
PMCPMC6797282
OpenAlexW2980851738

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.