Evidence map›Paper›PMID 42006271›Full record

ArticleFrontiers in endocrinology2026

High hepatic insulin resistance is linked to glucose and lipid profiles in Korean adults with type 2 diabetes.

Paul Kim, Minji Kang, Hyunji Sang, Sang Youl Rhee, Hyunjung Lim

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Paul KimDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, Republic of Korea.
Minji KangDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, Republic of Korea.
Hyunji SangDepartment of Endocrinology and Metabolism, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Sang Youl RheeDepartment of Endocrinology and Metabolism, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Hyunjung LimDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To characterize the metabolic profiles associated with the Hepatic Insulin Resistance Index (HIRI), in Korean patients with type 2 diabetes mellitus. Methods: This cross-sectional study analyzed 2,475 Korean adults with type 2 diabetes from the Korean National Diabetes Program cohort. Participants were categorized into HIRI tertiles based on oral glucose tolerance tests. We examined associations between HIRI and anthropometric measures, glycemic parameters, lipid profiles, liver function markers, and dietary intake. Logistic regression assessed the risk of dyslipidemia and metabolic syndrome components, adjusting for relevant confounders. Results: High-HIRI participants demonstrated greater central obesity (waist circumference 90.92 vs. 85.52 cm, Conclusions: High hepatic insulin resistance in Korean patients with type 2 diabetes defines a phenotype characterized by central obesity, atherogenic dyslipidemia, and distinctive glycemic profiles. Recognition of this phenotype supports personalized diabetes management targeting hepatic IR.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Insulin ResistanceLipidsLiverAdultAgedCross-Sectional StudiesDyslipidemiasFemaleGlucose Tolerance TestHumansMaleMiddle AgedRepublic of KoreaBlood GlucoseLipidscross-sectionalhepatic insulin resistanceHIRIinsulin resistanceKoreanlipid profiletype 2 diabetes mellitus

Identifiers

PMID42006271
PMCPMC13083026

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.