Evidence map›Paper›PMID 30419056›Full record

ArticlePloS one2018

The cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean Genome and Epidemiology Study (KOGES).

Bongyoung Kim, Hyun Young Choi, Wonhee Kim, Chiwon Ahn, Juncheol Lee, Jae Guk Kim, Jihoon Kim, Hyungoo Shin, Jae Myung Yu, Shinje Moon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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  5. Real-World Utility of GWAS-Based Diabetes Mellitus Panel Testing.International journal of molecular sciences · 2025
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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

10 authors at 4 institutions in 1 country.

Bongyoung KimDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Hyun Young ChoiDepartment of Emergency Medicine, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Wonhee KimDepartment of Emergency Medicine, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Chiwon AhnDepartment of Emergency Medicine, Armed Force Yangju Hospital, Yangju, Republic of Korea.
Juncheol LeeDepartment of Emergency Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Jae Guk KimDepartment of Emergency Medicine, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Jihoon KimDepartment of Thoracic and Cardiovascular Surgery, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Hyungoo ShinDepartment of Emergency Medicine, Hanyang University College of Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea.
Jae Myung YuDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.
Shinje MoonDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.ORCID 0000-0003-3298-3630
Hallym University · KRHanyang University · KRArmed Forces Capital Hospital · KRHanyang University Guri Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current methods available for determining insulin resistance are complicated; hence, they are only applicable to small-scale studies. Therefore, this study aimed to classify the characteristics of surrogate measures for insulin resistance and establish valid cut-off values for predicting the development of type 2 diabetes mellitus (DM) in Korean populations.

methodsThis prospective study included 7,643 participants aged 40-69 years from the Ansung-Ansan cohort database (2001-2012). Four surrogate measures, namely homeostasis model assessment-insulin resistance (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), and triglycerides and glucose (TyG) index, were analyzed. We analyzed each measure using receiver operating characteristic (ROC) curve for the development of type 2 DM. The cut-off value was determined as the value with the highest Youden index score in the specificity dominant area.

resultsThe area under the curve (AUC) was 0.566 (95% confidence interval [CI], 0.548-0.583) for HOMA-IR, 0.622 (95% CI, 0.605-0.639) for VAI, 0.642 (95% CI, 0.625-0.658) for LAP, and 0.672 (95% CI, 0.656-0.687) for TyG index. The AUC of TyG index was significantly higher than that of HOMA-IR, VAI, and LAP (p < 0.001). The cut-off value was 2.54 (sensitivity 36.8%; specificity 73.1%; hazard ratio [HR], 1.41, 95% CI, 1.25-1.59) for HOMA-IR, 2.54 (sensitivity 50.4%; specificity 68.8%; HR, 1.75, 95% CI, 1.55-1.96) for VAI, 36.6 (sensitivity 59.2%; specificity 63.9%; HR, 1.87, 95% CI, 1.64-2.14) for LAP, and 4.69 (sensitivity 62.1%; specificity 63.1%; HR, 2.17, 95% CI, 1.92-2.45) for TyG index.

conclusionsThe TyG index was a better predictor for DM than HOMA-IR. VAI and LAP showed the modest predictability for DM. The TyG index could be a useful supplementary method for identifying individuals at risk for insulin resistance and DM development.

Indexed as

Insulin ResistanceAdultAgedArea Under CurveAsian PeopleDatabases, FactualDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedOdds RatioProportional Hazards ModelsProspective StudiesRepublic of KoreaROC Curve

Identifiers

PMID30419056
PMCPMC6231635
OpenAlexW2901041981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.