Evidence map›Paper›PMID 39373380›Full record

ArticleJournal of diabetes2024

National burden and risk factors of diabetes mellitus in China from 1990 to 2021: Results from the Global Burden of Disease study 2021.

Wenzhen Deng, Li Zhao, Cheng Chen, Ziyu Ren, Yuanyuan Jing, Jingwen Qiu, Dongfang Liu

Abstract read
In one paragraph

Article in Journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

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

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  17. Exploring Therapeutic Potential ofCurrent topics in medicinal chemistry · 2026
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4 more citing papers are in PubMed but not listed here.

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.

Wenzhen DengDepartment of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li ZhaoDepartment of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Cheng ChenDepartment of Endocrinology, Qianjiang Central Hospital of Chongqing, Qianjiang, China.
Ziyu RenDepartment of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuanyuan JingDepartment of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jingwen QiuDepartment of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Dongfang LiuDepartment of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-8801-2190

Funding

Natural Science Foundation of Chongqing CSTB2022NSCQ-MSX1573Scientific and Technological Research Program of Chongqing Municipal Education Commission KJQN202300130
6 · The paper itself

Abstract

backgroundIn recent years, the prevalence and mortality rates of diabetes have been rising continuously, posing a significant threat to public health and placing a heavy burden on the population. This study was conducted to describe and analyze the burden of diabetes in China from 1990 to 2021 and its attributable risk factors.

methodsUtilizing data from the Global Burden of Disease Study 2021, we analyzed the incidence, prevalence, and disability-adjusted life years (DALYs) of type 1 diabetes (T1DM) and type 2 diabetes (T2DM) in China from 1990 to 2021. We extracted sex- and age-specific data on diabetes, focusing on DALYs, years lived with disability, and years of life lost. Bayesian meta-regression and spatiotemporal Gaussian process regression were used to estimate disease parameters. Age-standardized rates (ASRs) and estimated annual percentage changes (EAPC) were calculated using direct standardization and log-linear regression. The population-attributable fractions were also determined for each risk factor.

resultsIn 2021, the absolute number of incident diabetes mellitus (DM) cases was estimated at 4003543.82, including 32 000 T1DM and 3971486.24 T2DM cases. The ASRs were 244.57 for DM, 2.67 for T1DM, and 241.9 for T2DM (per 100 000 population). The absolute number of prevalent DM cases was 117288553.93, including 1442775.09 T1DM and 115845778.84 T2DM cases. The ASRs were 6142.29 for DM, 86.78 for T1DM, and 6055.51 for T2DM (per 100 000 population). In 2021, there were 178475.73 deaths caused by DM, with an ASR of mortality of 8.98 per 100 000 population. The DALYs due to DM in 2021 were 11713613.86, with an ASR of 585.43 per 100 000 population and an EAPC of 0.57. This increase can be attributed to several factors, including high body mass index, air pollution, and dietary habits.

conclusionsThe burden of diabetes is considerable, with high prevalence and incidence rates, highlighting the urgent need for public health interventions. Addressing factors like high fasting plasma glucose, body mass index, air pollution, and dietary risks through effective interventions is critical.

Indexed as

Diabetes Mellitus, Type 2Global Burden of DiseaseAdolescentAdultAgedChildChinaCost of IllnessDiabetes Mellitus, Type 1Disability-Adjusted Life YearsFemaleHumansIncidenceMaleMiddle AgedPrevalencediabetes mellitusdisability‐adjusted life yearsglobal disease burdenincidenceprevalence

Identifiers

PMID39373380
PMCPMC11457207

What OpenQuestion holds

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LicenceCC BY
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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.