Evidence mapPaperPMID 37070713Full record

SynthesisJournal of diabetes2023

Higher glucose fluctuation is associated with a higher risk of cardiovascular disease: Insights from pooled results among patients with diabetes.

Feng Li, Lei Zhang, Yun Shen, Huan-Huan Liu, Zhen-Ye Zhang, Gang Hu, Ru-Xing Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 4% of its field
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, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Feng LiDepartment of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Lei ZhangDepartment of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Yun ShenDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Huan-Huan LiuDepartment of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Zhen-Ye ZhangDepartment of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Gang HuPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.ORCID https://orcid.org/0000-0002-6172-8017
Ru-Xing WangDepartment of Cardiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.ORCID https://orcid.org/0000-0001-7355-5048
Wuxi People's Hospital · CNPennington Biomedical Research Center · US

Funding

Louisiana Clinical and Translational Science CenterU54GM104940 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2025 to 2025
$3.9M
NIGMS NIH HHS U54 GM104940NIGMS NIH HHS U54GM104940
6 · The paper itself

Abstract

backgroundThe relationship between glucose fluctuation and the risk of cardiovascular disease (CVD) in patients with diabetes remains elusive. Glycated hemoglobin (HbA1c) variability is a key parameter of glucose fluctuation.

methodsPubMed, Cochrane Library, Web of Science, and Embase were searched up to 1 July 2022. Studies reporting associations of HbA1c variability (HbA1c-SD), coefficient of variation of HbA1c (HbA1c-CV), and HbA1c variability score [HVS] with the risk of CVD among patients with diabetes were included. We used three different insights (a high-low value meta-analysis, a study-specific meta-analysis, and a non-linear dose-response meta-analysis) to explore the relationship between HbA1c variability and CVD risk. A subgroup analysis was also performed to screen the potential confounding factors.

resultsA total of 14 studies with 254 017 patients with diabetes were eligible. The highest HbA1c variability was significantly associated with increased risks of CVD (HbA1c-SD, risk ratio [RR] 1.45; HbA1c-CV, RR 1.74; HVS, RR 2.46; all p < .001) compared to the lowest HbA1c variability. The RRs of CVD for per HbA1c variability were significantly >1 (all p < .001). The subgroup analysis for per HbA1c-SD found a significant exposure-covariate interaction in the types of diabetes (p = .003 for interaction). The dose-response analysis showed a positive association between HbA1c-CV and CVD risk (P for nonlinearity <.001).

conclusionsOur study suggests that the higher glucose fluctuation is significantly associated with the higher CVD risk in diabetes patients based on HbA1c variability. The CVD risk associated with per HbA1c-SD might be higher among patients type 1 diabetes than patients with type 2 diabetes.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Blood GlucoseGlucoseGlycated HemoglobinHumansRisk FactorsBlood GlucoseGlucoseGlycated Hemoglobincardiovascular diseasediabetesglucose fluctuationHbA1c variabilityHbA1c变异性meta-analysismeta分析心血管疾病糖尿病葡萄糖波动

Identifiers

PMID37070713
PMCPMC10172020
OpenAlexW4366241634

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.