Evidence mapPaperPMID 39139740Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Association Between Glycated Hemoglobin and the Lipid Profile at the Central Yunnan Plateau: A Retrospective Study.

Beibei Luo, Wenbo Xu, Dan Ye, Xuejing Bai, Mengna Wu, Chunting Zhang, Rui Shi

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Metabolomics: Uncovering Insights into Obesity and Diabetes.International journal of molecular sciences · 2025
    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

7 authors.

Beibei LuoClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.ORCID 0000-0002-1481-3008
Wenbo XuClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.
Dan YeClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.
Xuejing BaiClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.
Mengna WuClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.
Chunting ZhangClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.
Rui ShiClinical Laboratory, People's Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dyslipidemia commonly complicates type 2 diabetes mellitus, yet the relationship between glycosylated hemoglobin and blood lipid levels remains uncertain. Methods: This retrospective cross-sectional study included 27,158 participants from the People's Hospital of Yuxi. Statistical comparisons for continuous variables utilized analysis of variance (ANOVA), while chi-square analysis was employed for categorical variables. Boxplots assessed the concentration, dispersion, and deviation of total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C) distribution. A linear regression analysis examined the association between HbA1c and lipid profile, complemented by a fitting curve to visualize trends. Results: Participants who developed diabetes exhibited higher age and elevated Body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), TC, TG, LDL-C, and FPG levels compared to those without diabetes (p < 0.001). Linear regression analysis demonstrated significant associations between HbA1c values and TC, TG, LDL-C, and HDL-C (p < 0.001). The plotted curve indicated that as TC, TG, and LDL levels increased, HbA1c levels rose, while HDL levels decreased. Conclusion: HbA1c was positively correlated with TC, TG, LDL-C, and negatively correlated with HDL-C in the population in the central Yunnan Plateau.

Indexed as

dyslipidemiaHbA1clipid profile

Identifiers

PMID39139740
PMCPMC11321356

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.