Evidence map›Paper›PMID 40557428›Full record

ArticleJournal of diabetes investigation2025

Comparative disease burden of early-onset and late-onset type 2 diabetes in the U.S.: Evidence from NHANES 2003-2018.

Shuoying Yue, Meng Su, Zihao Zhang, Zhiyi Hao, Man Li, Liang Zhang, Naijian Zhang, Zhilin Li, Qingcui Wu, Huijie Huang and 4 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2025. 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. Article
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

14 authors.

Shuoying YueDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Meng SuDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Zihao ZhangDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Zhiyi HaoDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Man LiDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Liang ZhangDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Naijian ZhangDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Zhilin LiDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Qingcui WuDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Huijie HuangDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Honglu ZhangDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Yuanyuan LiuDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.
Hui WangDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0003-2902-5570
Jun MaDepartment of Epidemiology and Biostatistics, Tianjin Medical University, Tianjin, China.

Funding

Scientific Research Program of the Tianjin Education Commission 2023KJ033
6 · The paper itself

Abstract

objectiveTo estimate the disease burden of type 2 diabetes (T2D) in early-onset (age < 40) and late-onset (age ≥ 40) in the U.S.

methodsData obtained from the National Health and Nutrition Examination Survey 2003-2018. Prevalence, number, and disability-adjusted life years (DALYs) in early-onset and late-onset T2D were assessed.

resultsThere was a clear and steady upward trend in early-onset T2D, although the prevalence and number of late-onset T2D were higher than early-onset. The average loss of DALYs per capita (DALYs/per) in the early-onset T2D was higher than that in the late-onset. DALYs/per is higher in males than females in both early- and late-onset T2D groups. People living at or below the poverty line and those with education of high school and below had a higher DALYs/per of early-onset T2D. Among individuals with early-onset T2D, the DALYs/per loss was higher in the non-obesity group.

conclusionThere was a clear upward trend in the prevalence of early-onset T2D, and the loss of DALYs/per in early-onset T2D was higher than that in late-onset T2D. The attribution risk factors, like sex, education levels, income levels, and body mass index, for the burden of early-onset T2D varied, and measures need to be taken to target different populations.

Indexed as

Cost of IllnessDiabetes Mellitus, Type 2AdultAgedAge of OnsetDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedNutrition SurveysPrevalencePrognosisUnited StatesDisability‐adjusted life yearsEarly‐onsetType 2 diabetes

Identifiers

PMID40557428
PMCPMC12400348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.