Evidence map›Paper›PMID 38259760›Full record

ArticleFrontiers in public health2023

Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden.

Xin Huang, Yinhui He, Haiyan Xu, Yuyan Shen, Xiaowen Pan, Junyun Wu, Kai Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.1field-weighted citation impact, top 3% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Xin HuangDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
Yinhui HeDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
Haiyan XuDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
Yuyan ShenDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, China.
Xiaowen PanDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, China.
Junyun WuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, China.
Kai ChenDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
Lishui Central Hospital · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Analyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM. Methods: We downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary analyses were performed by year, age, gender, summary exposure value (SEV), and sociodemographic index (SDI). Results: In China, it is estimated that 3.74 (3.44-4.10) million incidence, 90.0 (82.3-98.5) million prevalence, 168.4 (143.2-194.0) thousand deaths, and 9.6 (7.6-11.9) million DALYs occurred in 2019, showing an increase of 96.8, 156.7, 162.8, and 145.4% compared to 1990. An inverse U-shaped curve was observed for the correlations between T2DM-related burden and SDI. A heavier burden was found in males. The top four risk factors were high body mass index (HBMI), dietary risks, air pollution and tobacco. HBMI, as the key risk, accounted for half of the disease burden of T2DM in China. Lower degree of SEV and higher level of attributable T2DM-related burden could be found in main risks, meaning their critical role of them in the development and progression of T2DM. An inverse U-shaped curve could be found in the association between age-standardized incidence, mortality, DALYs rate, and SDI. Conclusion: The disease burden of T2DM has rapidly increased in China. Gender disparities, different age distributions and inconsistent socioeconomic levels all played an important role in it. The key risk was HBMI. With the improvement of socioeconomic level, the main risk factors for T2DM have changed from environmental factors to lifestyle factors. Targeted control and preventative strategies to address adjustable risk factors could put an end to this soaring burden.

Indexed as

Diabetes Mellitus, Type 2Age DistributionChinaCost of IllnessHumansMaleRisk Factorsambient particulate matter pollutionChinadisability-adjusted life yearshigh body mass indexsociodemographic indextype 2 diabetes mellitus

Identifiers

PMID38259760
PMCPMC10801005
OpenAlexW4390665351

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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.