Evidence map›Paper›PMID 42238237›Full record

ArticleFrontiers in endocrinology2026

Prognostic value of four insulin resistance indices in predicting new-onset hypertension: a retrospective cohort study.

Xinyue Yang, Qingwei He, Wenfei Zha, Bowen Li, Qingbo Lv, Yukun Cao, Haitao Zhang

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

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

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

7 authors.

Xinyue Yang *Graduate School, Hebei North University, Zhangjiakou, Hebei, China.
Qingwei He *The Fifth School of Clinical Medicine, Air Force Clinical Medical School, Anhui Medical University, Hefei, Anhui, China.
Wenfei ZhaDepartment of Dermatology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Bowen LiGraduate School, Hebei North University, Zhangjiakou, Hebei, China.
Qingbo LvGraduate School, Hebei North University, Zhangjiakou, Hebei, China.
Yukun CaoDepartment of Cardiology, Air Force Medical Center, Air Force Medical University, People's Liberation Army (PLA), Beijing, China.
Haitao ZhangDepartment of Cardiology, Air Force Medical Center, Air Force Medical University, People's Liberation Army (PLA), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary prevention of hypertension depends on early detection of high-risk individuals. Several useful risk-stratification tools are provided by lipid-glucose-insulin obtained from standard blood testing. This study compared the predictive performance of four indices for incident hypertension: Atherogenic Index of Plasma (AIP), Triglyceride-Glucose (TyG) index, Cholesterol-HDL-Glucose (CHG) index, and Metabolic Score for Insulin Resistance (METS-IR). Methods: A total of 1079 adults with initially normal blood pressure were enrolled between January 2016 and January 2019 and followed up until January 2024. Participants were classified according to incident hypertension status during follow-up, the participants were divided into the hypertension group and the non-hypertension group. Multivariable Cox proportional hazards models were used to assess the associations between the four insulin resistance indices and the incidence of hypertension, adjusting for a comprehensive set of clinical and biochemical confounders. Time-dependent receiver operating characteristic (ROC) curve analysis was used to assess predictive accuracy at 12, 36, and 60 months. Results: Among the participants, 297 developed hypertension during follow-up. In the fully adjusted model, only the CHG index maintained a statistically independent association with hypertension risk. Each unit increase in the CHG index was associated with a more than twofold higher risk of hypertension (Hazard Ratio [HR] 2.186, 95% Confidence Interval [CI] 1.269-3.766). However, the AIP, TyG index, and METS-IR index showed no statistical significance after final adjustment. According to time-dependent ROC analysis, both the CHG index and METS-IR showed excellent and consistent discriminative capacity across initial, medium, and long-term follow-up (AUCs consistently >0.71). At the follow up time of 36 and 60 months, the CHG index exhibited the highest AUC values. The TyG index showed intermediate predictive performance, whereas AIP consistently exhibited the lowest predictive power at all intervals. Conclusion: The CHG index demonstrated the most independent association with incident hypertension, better than the AIP, TyG, and METS-IR indices in predictive accuracy.

Indexed as

HypertensionInsulin ResistanceAdultBiomarkersBlood GlucoseFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsTriglyceridesBiomarkersBlood GlucoseTriglyceridescholesterolglucose index (CHG index)high-density lipoproteinhypertensioninsulin resistancemetabolic indicesrisk predictiontriglyceride-glucose index

Identifiers

PMID42238237
PMCPMC13226025

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.