Evidence map›Paper›PMID 17506476›Full record

ArticleJournal of clinical laboratory analysis2007

Risk analysis of coronary heart diseases in Korean adults by using the National Cholesterol Education Program Adult Treatment Panel III.

Yong-Wha Lee, Won-Ki Min, Woochang Lee, Sail Chun, Hyosoon Park, Do-Hoon Lee, You Kyoung Lee

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

7 authors at 6 institutions in 1 country.

Yong-Wha LeeDepartment of Laboratory Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea.
Won-Ki Min
Woochang Lee
Sail Chun
Hyosoon Park
Do-Hoon Lee
You Kyoung Lee
Bucheon University · KRAsan Medical Center · KRKangbuk Samsung Hospital · KRNational Cancer Center · KRUlsan College · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), updated in 2001, quantified the risk factors and made it possible to assess risks for metabolic syndrome (MS) and coronary heart diseases (CHD). Many reported the prevalence of MS by NCEP ATP III in Orientals but few did risk analysis of CHD. We investigated the risk of CHD in Korean adults and the distribution of population for therapeutic lifestyle change (TLC) and drug therapy according to the NCEP ATP III guidelines. Based on ATP III risk factors, estimates of the 10-year risk for CHD on 16,383 Koreans and the distributions of population for the TLC and additional drug therapy by sex and age were calculated. High-, intermediate-, and low-risk groups were 8.1%, 24.1%, and 67.8%, respectively; 12.1% (high-, intermediate-, and low-risk groups: 32.0%, 45.1%, and 6.0%, respectively) needed TLC and 6.1% (high-, intermediate-, and low-risk groups: 39.4%, 16.6%, and 1.3%, respectively) needed additional drug therapy. The groups with higher risk needed more TLC and drug therapy. In the same age group, the rates of high risk in men showed a 1.0-6.6 fold increase compared with those in women. In Koreans, those who needed TLC and drug therapy were substantially lower than those in Americans.

Indexed as

AdultAgedCholesterol, HDLCholesterol, LDLCoronary DiseaseC-Reactive ProteinFemaleHealth BehaviorHumansLife StyleMaleMiddle AgedRisk AssessmentRisk FactorsTriglyceridesCholesterol, HDLCholesterol, LDLC-Reactive ProteinTriglycerides

Identifiers

PMID17506476
PMCPMC6649173
OpenAlexW1972984631

What OpenQuestion holds

Textmetadata
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.