Evidence map›Paper›PMID 39324120›Full record

ArticleThe Lancet regional health. Western Pacific2024

Population-based prevalence of self-reported pediatric diabetes and screening for undiagnosed type 2 diabetes in Chinese children in years 2017-2019, a cross-sectional study.

Wei Wu, Jian-Wei Zhang, Yangxi Li, Ke Huang, Rui-Min Chen, Mireguli Maimaiti, Jing-Si Luo, Shao-Ke Chen, Di Wu, Min Zhu and 12 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

22 authors.

Wei WuChildren's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Regional Center for Children's Health, 3333 Binsheng Road, 310051, Hangzhou, Zhejiang, China.
Jian-Wei ZhangChildren's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Regional Center for Children's Health, 3333 Binsheng Road, 310051, Hangzhou, Zhejiang, China.
Yangxi LiChildren's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Regional Center for Children's Health, 3333 Binsheng Road, 310051, Hangzhou, Zhejiang, China.
Ke HuangChildren's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Regional Center for Children's Health, 3333 Binsheng Road, 310051, Hangzhou, Zhejiang, China.
Rui-Min ChenFuzhou Children's Hospital of Fujian Province, 350005, Fuzhou, Fujian, China.
Mireguli MaimaitiThe First Affiliated Hospital of Xinjiang Medical University, 830011, Wulumuqi, Xinjiang Uygur Autonomous Region, China.
Jing-Si LuoThe Maternity Hospital of Guangxi Zhuang Autonomous Region, 537406, Nanning, Guangxi Zhuang Autonomous Region, China.
Shao-Ke ChenThe Second Affiliated Hospital of Guangxi Medical University, 537406, Nanning, Guangxi Zhuang Autonomous Region, China.
Di WuBeijing Children's Hospital, Capital Medical University, 100045, Beijing, China.
Min ZhuThe Children's Hospital of Chongqing Medical University, 400014, Chongqing, China.
Chun-Lin WangThe First Affiliated Hospital, Zhejiang University School of Medicine, 310053, Hangzhou, Zhejiang, China.
Zhe SuShenzhen Children's Hospital, 518034, Shenzhen, Guangdong, China.
Yan LiangTongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.
Hui YaoWuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.
Hai-Yan WeiChildren's Hospital Affiliated Zhengzhou University, 450066, Zhengzhou, Henan, China.
Rong-Xiu ZhengTianjin Medical University General Hospital, 300052, Tianjin, China.
Hong-Wei DuThe First Bethune Hospital of Jilin University, 130061, Changchun, Jilin, China.
Fei-Hong LuoChildren's Hospital of Fudan University, 200433, Shanghai, China.
Pin LiShanghai Children's Hospital, Shanghai Jiao Tong University, 200433, Shanghai, China.
Ergang WangDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27708, USA.
Constantin PolychronakosResearch Institute of McGill University Health Centre, 1001 Decarie Boulevard, Montreal, QC, Canada.
Jun-Fen FuChildren's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Regional Center for Children's Health, 3333 Binsheng Road, 310051, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The worldwide geographical and temporal variation in the prevalence of diabetes represents a challenge, but also an opportunity for gaining etiological insights. Encompassing the bulk of East Asians, a large and distinct proportion of the world population, China can be a source of valuable epidemiological insights for diabetes, especially in early life, when pathophysiology begins. We carried out a nationwide, epidemiological survey of Prevalence and Risk of Obesity and Diabetes in Youth (PRODY) in China, from 2017 to 2019, to estimate the population-based prevalence of diagnosed pediatric diabetes and screen for undiagnosed pediatric type 2 diabetes (T2D). Methods: PRODY was a nation-wide, school population-based, cross-sectional, multicenter survey by questionnaire, fasting urine glucose test and simple oral glucose tolerance test (s-OGTT), among a total number of 193,801 general-population children and adolescents (covered a pediatric population of more than 96.8 million), aged 3-18, from twelve provinces across China. The prevalence of the self-reported pediatric diabetes, the proportion of subtypes, the crude prevalence of undiagnosed T2D and prediabetes in general juvenile population and the main risk factors of type 1 (T1D) and type 2 (T2D) diabetes had been analyzed in the study. Findings: The prevalence of all self-reported pediatric diabetes was estimated at 0.62/1000 (95% CI: 0.51-0.74), with T1D at 0.44/1000 (95% CI: 0.35-0.54) and T2D at 0.18/1000 (95% CI: 0.13-0.25). For undiagnosed T2D, the crude prevalence was almost ten-fold higher, at 1.59/1000, with an estimated extra 28.45/1000 of undiagnosed impaired glucose tolerance (IGT) and 53.74/1000 of undiagnosed impaired fasting glucose (IFG) by s-OGTT screening. Maternal diabetes history is the major risk factors for all subtypes of pediatric diabetes in China. Interpretation: The PRODY study provides the first population-based estimate of the prevalence of pediatric diabetes China and reveals a magnitude of the problem of undiagnosed pediatric T2D. We propose a practical screening strategy by s-OGTT to address this serious gap. Funding: The National Key Research and Development Programme of China, Key R&D Program of Zhejiang, the National Natural Science Foundation of China and the Zhejiang Provincial Key Disciplines of Medicine, Key R&D Program Projects in Zhejiang Province.

Indexed as

Pediatric diabetesPrediabetesPrevalenceType 1 diabetesType 2 diabetes

Identifiers

PMID39324120
PMCPMC11422556

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.