Evidence map›Paper›PMID 42063461›Full record

ArticleMilitary Medical Research2026

Associations of Different Definitions of Prediabetes and Diabetes with All-Cause and Cause-Specific Mortality: A Nationally Representative Cohort Study.

Mei Zhang, Zixin Qiu, Yue Wang, Xiao Zhang, Shiyu Zhao, Chun Li, Zhenping Zhao, Shenhan Xiang, An Pan, Limin Wang and 3 more

Abstract read
In one paragraph

Article in Military Medical Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Mei ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zixin QiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Yue WangClinical Center for Human Genomic Research, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Xiao ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Shiyu ZhaoDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Chun LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zhenping ZhaoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Shenhan XiangClinical Center for Human Genomic Research, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
An PanDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Limin WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Kai HuangClinical Center for Human Genomic Research, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Gang LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The associations between different definitions of prediabetes and diabetes with mortality and life expectancy remain unclear. Clarifying these associations is essential for informing hyperglycemia management policies. We aimed to compare the prevalence of prediabetes and newly diagnosed diabetes across different glycemic indicators and diagnostic criteria, and to examine their associations with mortality and life expectancy. Methods: We analyzed data from 141,945 adults from a nationally representative cohort study in China. Cox proportional hazards regression models were used to estimate hazard ratios (HRs). Using fasting plasma glucose (FPG), 2-hour postload glucose (2hPG), and hemoglobin A1c (HbA1c) levels, prediabetes was defined according to the American Diabetes Association (ADA), World Health Organization (WHO), or International Expert Committee (IEC) criteria, and newly diagnosed diabetes according to the ADA criteria. Results: Prediabetes prevalence varied widely across glycemic indicators, ranging from 3.0% to 26.1%, while newly diagnosed diabetes prevalence ranged from 2.6% to 4.4%. Over a median follow-up of 9.0 years, a total of 6,924 deaths were documented. Compared with people with normoglycemia, prediabetes defined by FPG (either ADA or WHO criteria) was not significantly associated with increased risks of all-cause or cardiovascular disease (CVD) mortality (all Conclusions: These findings suggest that reliance on FPG alone may fail to identify certain individuals at elevated mortality risk. In contrast, 2hPG and HbA1c provide additional prognostic information beyond FPG.

Indexed as

Diabetes MellitusPrediabetic StateAdultAgedBlood GlucoseCause of DeathChinaCohort StudiesFemaleGlycated HemoglobinHumansLife ExpectancyMaleMiddle AgedPrevalenceProportional Hazards ModelsBlood GlucoseGlycated Hemoglobindiabeteslife expectancymortalityprediabetesprospective study

Identifiers

PMID42063461
PMCPMC13127155

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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 OpenQuestion graph.