Evidence map›Paper›PMID 38470086›Full record

ArticleJournal of diabetes investigation2024

Association between glycated hemoglobin and risk of all-cause mortality in community patients with type 2 diabetes: A prospective cohort study.

Qingfang He, Mingfei Gao, Xiaoyan Zhou, Lixin Wang, Yujia Fang, Ruying Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2024. 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. Differential Effects of Admission Hemoglobin AJournal of the American Heart Association · 2025
    Article
  3. Observational
  4. Article
  5. HbA1c as an Independent Predictor of Peripheral Artery Disease: Nonlinear Threshold and Causal Evidence from NHANES and Mendelian Randomization.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Observational
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.

Qingfang HeDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Mingfei GaoHealth Science Center, Ningbo University, Ningbo, China.
Xiaoyan ZhouDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Lixin WangDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yujia FangDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ruying HuDepartment of Chronic Non-Communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID https://orcid.org/0000-0002-6920-0524

Funding

National Key Research and Development Program of China 2016YFC0901200National Key Research and Development Program of China 2016YFC0901205Zhejiang Provincial Public Welfare Technology Applied Research Projects 2017C33090
6 · The paper itself

Abstract

AIMS/

introductionTo analyze the association between HbA1c level and the risk of all-cause mortality in community patients with type 2 diabetes mellitus, and to provide a scientific basis for the management of type 2 diabetes mellitus in the community. MATERIALS AND

methodsBased on a Zhejiang rural community type 2 diabetes mellitus cohort, a total of 10,310 patients with type 2 diabetes mellitus with complete baseline and follow-up data were selected. The Cox proportional hazards regression model and the restricted cubic spline model were used to evaluate the relationship between the HbA1c level and the risk of all-cause mortality.

resultsDuring a mean follow-up of 5.5 years, 971 patients died. With HbA1c levels of 6.5-7.0% as the reference, after adjusting for relevant confounding factors, the HR(95%CI) of all-cause mortality with HbA1c levels of <5.5%, 5.5-6.5%, 7.0-8.0%, 8.0-9.0%, and ≥9.0% were 1.53 (1.08-2.15), 0.97 (0.79-1.21), 1.14 (0.92-1.41), 1.44 (1.14-1.83), and 2.08 (1.68-2.58), respectively. The HbA1c level was associated with the risk of all-cause mortality in a "J-shaped" manner. The risk of all-cause mortality was lowest when the HbA1c was 6.5-7.0%, and increased significantly when the HbA1c was ≥ 8.0% and the HbA1c was < 5.5% (P < 0.05). The risk of all-cause death in the HbA1c 5.5-6.5% group and the 7.0-8.0% group was not significant compared with the reference group (P > 0.05).

conclusionsThe HbA1c levels were associated with the risk of all-cause mortality in type 2 diabetes mellitus in a "J-shaped" manner, a too high or a too low HbA1c level could increase the risk of death. Attention should be paid to the individual evaluation of patients and the setting of appropriate glycemic control goals.

Indexed as

Diabetes Mellitus, Type 2Glycated HemoglobinAgedCause of DeathChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedMortalityPrognosisProportional Hazards ModelsProspective StudiesRisk FactorsRural PopulationGlycated Hemoglobinhemoglobin A1c protein, humanGlycosylated hemoglobinMortality riskType 2 diabetes mellitus

Identifiers

PMID38470086
PMCPMC11215688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.