Evidence mapPaperPMID 39863906Full record

ArticleLipids in health and disease2025

Association between the hemoglobin A1c/High-density lipoprotein cholesterol ratio and stroke incidence: a prospective nationwide cohort study in China.

Chaojuan Huang, Hongtao You, Yuyang Zhang, Ligang Fan, Xingliang Feng, Naiyuan Shao

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Effects ofNutrients · 2025
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  15. Association betweenFrontiers in nutrition · 2025
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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.

Chaojuan Huang *Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Hongtao You *Department of Neurosurgery, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213000, China.
Yuyang Zhang *Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Ligang FanDepartment of Neurosurgery, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213000, China. 13401379934@163.com.
Xingliang FengDepartment of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213000, China. xingliang-feng@czfph.com.
Naiyuan ShaoDepartment of Neurosurgery, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213000, China. naiyuanshao@czfph.com.

Funding

Changzhou Municipal Health Commission Major Projects ZD202306the Nanjing Medical University Changzhou Medical Center Project CMCB202312the Postgraduate Innovation Research and Practice Program of Anhui Medical University YJS20230122
6 · The paper itself

Abstract

backgroundStroke has emerged as an escalating public health challenge among middle-aged and older individuals in China, closely linked to glycolipid metabolic abnormalities. The Hemoglobin A1c/High-Density Lipoprotein Cholesterol (HbA1c/HDL-C) ratio, an integrated marker of glycolipid homeostasis, may serve as a novel predictor of stroke risk.

methodsOur investigation utilized data from the China Health and Retirement Longitudinal Study cohort (2011-2018). Stroke cases were identified based on self-reported, physician-confirmed diagnoses. Logistic regression models were established to determine the correlation between HbA1c/HDL-C and stroke prevalence (2011) as well as between cumulative mean HbA1c/HDL-C (2011-2015) and new stroke incidence (2015-2018). Additionally, smoothed curve fitting, subgroup analyses, and interaction tests were conducted to ensure the robustness of the findings.

resultsIn the cross-sectional analysis, 8,502 participants were enrolled, of whom 189 had a history of stroke. Our findings revealed a significant positive linear relationship between HbA1c/HDL-C and stroke prevalence after adjusting for covariates (OR: 1.26, 95% CI: 1.09-1.45). When HbA1c/HDL-C was categorized into tertiles, only the highest tertile (T3) showed a significant correlation with stroke prevalence compared to the lowest tertile (T1) (OR:1.71, 95% CI: 1.05-2.77). In the longitudinal analysis of 5,165 participants, 336 cases of new-onset stroke were identified over a follow-up period of 7 years. Adjusting for confounders, individuals with higher cumulative mean HbA1c/HDL-C exhibited an increased likelihood of new stroke incidence (OR: 1.14, 95% CI: 1.01-1.29). Using the T1 of cumulative mean HbA1c/HDL-C as a reference, the fully adjusted OR for stroke was 1.65 (95% CI: 1.21-2.24) in T2 and 1.54 (95% CI: 1.08-2.19) in T3. The predictive value of the HbA1c/HDL-C in stroke risk assessment have been significantly improved compared to the traditional HDL-C and HbA1c. Consistent associations were observed across most stratified subgroups.

conclusionsElevated baseline and cumulative mean HbA1c/HDL-C levels are significantly associated with an increased risk of stroke among middle-aged and older individuals in China, underscoring the potential of HbA1c/HDL-C as a clinical marker for long-term stroke risk assessment and prevention strategies.

Indexed as

Cholesterol, HDLGlycated HemoglobinStrokeAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrevalenceProspective StudiesRisk FactorsBiomarkersCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, humanCHARLSHbA1c/HDL-C RatioHemoglobin A1cHigh-Density Lipoprotein CholesterolStroke

Identifiers

PMID39863906
PMCPMC11762894

What Socratic holds

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LicenceCC BY
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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.