Evidence map›Paper›PMID 33504930›Full record

ArticleScientific reports2021

Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population.

Juncheol Lee, Bongyoung Kim, Wonhee Kim, Chiwon Ahn, Hyun Young Choi, Jae Guk Kim, Jihoon Kim, Hyungoo Shin, Jun Goo Kang, Shinje Moon

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

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34 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

10 authors.

Juncheol Lee *Department of Emergency Medicine, Armed Forces Capital Hospital, Seongnam, Republic of Korea.
Bongyoung Kim *Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Wonhee KimDepartment of Emergency Medicine, Hallym University, Chuncheon, Republic of Korea.
Chiwon AhnDepartment of Emergency Medicine, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Hyun Young ChoiDepartment of Emergency Medicine, Hallym University, Chuncheon, Republic of Korea.
Jae Guk KimDepartment of Emergency Medicine, Hallym University, 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, College of Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea.
Jun Goo KangDepartment of Internal Medicine, Hallym University, Chuncheon, Republic of Korea. kjg0804@empas.com.
Shinje MoonDepartment of Internal Medicine, Hallym University, Chuncheon, Republic of Korea. sinjei1129@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999-2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings.

Indexed as

Insulin ResistanceAdultBiomarkersBlood GlucoseEndocrine System DiseasesFemaleHumansLipidsMaleMetabolic DiseasesMiddle AgedPopulation SurveillanceROC CurveUnited StatesYoung AdultBiomarkersBlood GlucoseLipids

Identifiers

PMID33504930
PMCPMC7840900

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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.