Evidence mapPaperPMID 40662995Full record

ReviewJournal of clinical hypertension (Greenwich, Conn.)2025

The Association Between the Hemoglobin Glycation Index and Cardiometabolic Diseases: A Mini-Review.

Qing-Yun Wu, Li-Rong Mo, Jing Nan, Wan-Zhong Huang, Qiang Wu, Qiang Su

Abstract readReview
In one paragraph

Review in Journal of clinical hypertension (Greenwich, Conn.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

6 authors.

Qing-Yun WuDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Li-Rong MoDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Jing NanDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wan-Zhong HuangDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Qiang WuSenior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Qiang SuDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.ORCID 0000-0002-5173-7921

Funding

Guangxi Medical and Healthcare Appropriate Technology Development and Promotion Application Project S2024095
6 · The paper itself

Abstract

The hemoglobin glycation index (HGI) has emerged as a pivotal biomarker for evaluating long-term glycemic control, offering a more comprehensive assessment compared with conventional glycated hemoglobin (HbA1c) measurements. Elevated HGI levels are significantly correlated with the incidence of cardiometabolic diseases (CMDs). This review synthesizes current evidence on the clinical utility of the HGI across coronary artery disease (CAD), hypertension, heart failure (HF), diabetes mellitus (DM), serum uric acid (SUA) levels, and nonalcoholic fatty liver disease (NAFLD), thereby providing clinicians with an enhanced framework for precise disease stratification, therapeutic optimization, and prognostic prediction.

Indexed as

Cardiovascular DiseasesGlycated HemoglobinBiomarkersBlood GlucoseCardiometabolic Risk FactorsCoronary Artery DiseaseDiabetes MellitusHeart FailureHumansHypertensionNon-alcoholic Fatty Liver DiseasePrognosisUric AcidBiomarkersBlood GlucoseGlycated HemoglobinUric Acidcardiovascular diseasesglycated hemoglobinhemoglobin glycation indexinsulin resistancemetabolic disorders

Identifiers

PMID40662995
PMCPMC12261972

What Socratic 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 Socratic graph.