Evidence map›Paper›PMID 39980144›Full record

ArticleJournal of diabetes2025

A Population-Based Correlation Analysis Between Hemoglobin A1c and Hemoglobin Levels.

Tingyu Zhang, Tianyi Shi, Min Cao, Yunxi Ji, Yanbin Xue, Huayan Yao, Qiaomei Yin, Bin Cui, Zhen Xie, Ping He

Abstract read
In one paragraph

Article in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Tingyu ZhangDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianyi ShiFaculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Min CaoDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yunxi JiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanbin XueComputer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huayan YaoComputer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiaomei YinKunming First People's Hospital, Yunnan, China.
Bin CuiDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-7293-5740
Zhen XieDepartment of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Ping HeLink Healthcare Engineering and Information Department, Shanghai Hospital Development Center, Shanghai, China.

Funding

CHILDRENS RESPONSES TO INTERADULT ANGRY INTERACTIONSR29AA010591 · NIAAA · AUBURN UNIVERSITY AT AUBURN · PI EL-SHEIKH, MONA M · 1996 to 2000
$95k
Key R&D Program of China SQ2022AAA010591NIAAA NIH HHS R29 AA010591
6 · The paper itself

Abstract

backgroundGlycated hemoglobin (HbA1c) is widely used to assess long-term glycemic control in individuals with diabetes. However, various conditions that affect hemoglobin levels or the lifespan of red blood cells can compromise the accuracy of HbA1c measurements. Despite extensive research, the relationship between HbA1c and hemoglobin remains unclear. This study aims to clarify this relationship by examining its correlation across diverse age and gender cohorts.

methodsData from 217,991 participants aged 20 to 69 years were collected from health examination centers in Southwest China. Standardized methodologies were used to measure HbA1c and hemoglobin levels. Generalized additive models (GAM) were utilized to analyze non-linear relationships and adjust for potential confounding variables. Gender-specific reference intervals (RIs) for hemoglobin were also established.

resultsA gender-specific association was observed between HbA1c and hemoglobin levels. In men, HbA1c levels decreased with increasing hemoglobin. Among women, a negative correlation was observed in premenopausal women (aged ≤ 45 years), whereas postmenopausal women (aged > 45 years) showed a positive correlation, with HbA1c levels increasing as hemoglobin levels rose. Additionally, HbA1c levels increased with age in both genders, with a more pronounced rise in women after the age of 45.

conclusionThis study highlights significant gender- and age-related differences in the relationship between HbA1c and hemoglobin. The findings suggest that estrogen-related metabolic changes may influence HbA1c levels, with potential implications for diabetes management and hormone therapy in postmenopausal women.

Indexed as

Glycated HemoglobinHemoglobinsAdultAgedAge FactorsBlood GlucoseChinaDiabetes MellitusFemaleHumansMaleMiddle AgedReference ValuesSex FactorsYoung AdultBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHemoglobinsestrogenhemoglobinhemoglobin A1c

Identifiers

PMID39980144
PMCPMC11842278

What OpenQuestion holds

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LicenceCC BY
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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.