Evidence mapPaperPMID 40200037Full record

ArticleScientific reports2025

Comparative diabetes mellitus burden trends across global, Chinese, US, and Indian populations using GBD 2021 database.

Yafei Chen, Guoyu Wang, Zhiyong Hou, Xinxin Liu, Siyi Ma, Min Jiang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Yafei Chen *Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Guoyu Wang *Department of Traditional Chinese Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Zhiyong HouInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Xinxin LiuDepartment of Traditional Chinese Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Siyi MaDepartment of Traditional Chinese Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Min JiangDepartment of Traditional Chinese Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. jiangmin545@bjsjth.cn.

Funding

Basic Chinese Medicine Evidence-based Capacity Building Project 2019XZZX-JB004Clinical Collaboration Capacity Building Project of Chinese and Western Medicine for Major Difficult Diseases State Administration of Traditional Chinese Medicine and Medical Affairs [2018] No. 3
6 · The paper itself

Abstract

Diabetic mellitus (DM) poses a significant challenge and stress to global health, comparing the burden of disease in the world's three most populous countries while projecting changes in trends in age-standardized rate (ASR) -deaths and disability adjusted life years (DALYs) up to 2050. Using GBD2021 data, we examined DM trends in China, US, India and globally for 1990-2021, and projected deaths and DALYs for DM (types 1 and 2) for 2022-2050 using Bayesian age-period-cohort (BAPC) model. It was found that the ASR-DALYs and deaths for T1DM are trending downward globally, while those for T2DM are trending upward. In terms of gender differences, the burden of T1DM by gender was insignificant, whereas the burden of disease was significantly higher in men with T2DM than in women. The burden of disease for T1DM peaks around the ages of 40-44 years, while the burden of disease for T2DM peaks at 65-69 years. Population growth and ageing are major factors influencing the disease burden of diabetes. The projection of ASR-deaths and DALYs globally for 2022-2050 showed a decreasing trend in T1DM and an increasing trend in T2DM (especially in China and India). The increasing burden of T2DM disease globally and in three countries by 2050 should be taken seriously.

Indexed as

Cost of IllnessDiabetes MellitusDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdolescentAdultAgedBayes TheoremChinaDatabases, FactualDisability-Adjusted Life YearsEast Asian PeopleFemaleGlobal Burden of DiseaseGlobal HealthHumansBurdenDiabetes mellitusDisability adjusted life yearsGlobal epidemiologyMortality

Identifiers

PMID40200037
PMCPMC11978961

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.