Evidence map›Paper›PMID 40753393›Full record

ArticleDiabetology & metabolic syndrome2025

Trends and comparisons of diabetes burden in China and the world from 1990 to 2021,with forecasts to 2050:a systematic analysis of the global burden of disease study 2021.

Chenqing Liu, Yun Li, Nan Wang, Yandong Wu, Jiaqi Liu, Mengjie Ding, Shuhan Liu, Yibing Hao, Ying Wu, Shaopeng Liu

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Chenqing LiuSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Yun LiSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Nan WangSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Yandong WuSchool of Public Health, Wuhan University of Science and Technology, Wuhan, 430000, China.
Jiaqi LiuSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Mengjie DingSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Shuhan LiuSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Yibing HaoSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Ying WuSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China. 173699141@qq.com.
Shaopeng LiuSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China. liusp@ncst.edu.cn.

Funding

National Health Commission of the People's Republic of China No. 2023ZD0504000
6 · The paper itself

Abstract

backgroundDiabetes is a major global public health issue. This study investigated the trends in the age-and gender-specific burden of diabetes in China and worldwide from 1990 to 2021, and predicted the prevalence of diabetes in 2050.

methodsUsing publicly available data from the Global Burden of Disease (GBD) database from 1990 to 2021, we comprehensively applied Joinpoint regression and age-period-cohort (APC) analysis to reveal the epidemiological characteristics, conducted decomposition analysis to identify the driving factors of burden changes, and used the autoregressive integrated moving average (ARIMA) model to project the disease burden of diabetes from 2022 to 2050.

resultsFrom 1990 to 2021, both in China and globally, the age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), and age-standardized disability-adjusted life year rate (ASDR) of diabetes showed an upward trend. In contrast, China's age-standardized mortality rate (ASMR) of diabetes decreased, while the global ASMR increased. The average annual percentage changes (AAPC) of China's ASIR, ASPR, ASMR, and ASDR were 1.29, 1.76,- 0.30, and 0.76% respectively, compared with 1.74, 2.10, 0.25, and 1.05% for the global diabetes burden.

conclusionsIn China, the incidence, prevalence, and Disability-Adjusted Life Years (DALYs) of diabetes increased, while the mortality rate decreased. It is projected that by 2050, the number of diabetes patients in China will reach 84.01 million, and globally, it will reach 1038.2 million. Given China's large population and the trend of population aging, it is essential to formulate targeted prevention and control strategies to address the challenge of diabetes.

Indexed as

DiabetesDisease burdenGlobal burden of diseasePublic health

Identifiers

PMID40753393
PMCPMC12317625

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LicenceCC BY
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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.