Evidence map›Paper›PMID 33516167›Full record

ArticleDiabetes & metabolism journal2021

Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea.

Yo Nam Jang, Jun Hyeok Lee, Jin Sil Moon, Dae Ryong Kang, Seong Yong Park, Jerim Cho, Jang-Young Kim, Ji Hye Huh

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yo Nam JangYonsei University Wonju College of Medicine, Wonju, Korea.
Jun Hyeok LeeDepartment of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea.
Jin Sil MoonDepartment of Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea.
Dae Ryong KangDepartment of Precision Medicine & Biostatistics, Yonsei University Wonju College of Medicine, Wonju, Korea.
Seong Yong ParkBig Data Streering Department, National Health Insurance Service, Wonju, Korea.
Jerim ChoBig Data Streering Department, National Health Insurance Service, Wonju, Korea.
Jang-Young KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Ji Hye HuhDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Yonsei University · KRNational Health Insurance Service · KRHallym University Sacred Heart Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, a metabolic syndrome severity score (MS score) using a dataset of the Korea National Health and Nutrition Examination Surveys has been developed. We aimed to determine whether the newly developed score is a significant predictor of cardiovascular (CV) events among the Korean population.

methodsFrom the Korean National Health Insurance System, 2,541,364 (aged 40 to 59 years) subjects with no history of CV events (ischemic stroke or myocardial infarction [MI]), who underwent health examinations from 2009 to 2011 and were followed up until 2014 to 2017, were identified. Cox proportional hazard model was employed to investigate the association between MS score and CV events. Model performance of MS score for predicting CV events was compared to that of conventional metabolic syndrome diagnostic criteria (Adult Treatment Program III [ATP-III]) using the Akaike information criterion and the area under the receiver operating characteristic curve.

resultsOver a median follow-up of 6 years, 15,762 cases of CV events were reported. MS score at baseline showed a linear association with incident CV events. In the multivariable-adjusted model, the hazard ratios (95% confidence intervals) comparing the highest versus lowest quartiles of MS score were 1.48 (1.36 to 1.60) for MI and 1.89 (1.74 to 2.05) for stroke. Model fitness and performance of the MS score in predicting CV events were superior to those of ATP-III.

conclusionThe newly developed age- and sex-specific continuous MS score for the Korean population is an independent predictor of ischemic stroke and MI in Korean middle-aged adults even after adjusting for confounding factors.

Indexed as

Metabolic SyndromeMyocardial InfarctionStrokeAdultFemaleHumansMaleMiddle AgedNutrition SurveysRepublic of KoreaCardiovascular diseasesMetabolic syndromeMyocardial infarctionStroke

Identifiers

PMID33516167
PMCPMC8369214
OpenAlexW3128923598

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.