Comparative analysis of insulin resistance indicators in predicting reversion from prediabetes to normoglycemia

MetS-IR appears to be a more effective predictor of normoglycemia reversion compared to other IR indicators, potentially aiding in the early identification of individuals with prediabetes likely to achieve spontaneous reversion, thereby supporting personalized interventions.

Authors

Institutions

Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2025-11-21
DOI
https://doi.org/10.1186/s13098-025-02004-z
Citations
1
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of insulin resistance indicators in predicting reversion from prediabetes to normoglycemia

Jieli Qin, Junlin Yi, Xinqun Hu
1 citations
Diabetology & Metabolic Syndrome
Diabetes, Cardiovascular Risks, and Lipoproteins
1.29
article

Comparative analysis of insulin resistance indicators in predicting reversion from prediabetes to normoglycemia

Jieli Qin, Junlin Yi, Xinqun Hu
article en
1 citations

Abstract

MetS-IR appears to be a more effective predictor of normoglycemia reversion compared to other IR indicators, potentially aiding in the early identification of individuals with prediabetes likely to achieve spontaneous reversion, thereby supporting personalized interventions.

Diabetology & Metabolic SyndromeVol. 17(1)
Huaihua University (CN), Central South University (CN), Second Xiangya Hospital of Central South University (CN)
Openalex Percentile: Top 13%
Diabetes, Cardiovascular Risks, and Lipoproteins
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.