Evidence map›Paper›PMID 31001730›Full record

ArticleEndocrine2019

Premature death and risk of cardiovascular disease in young-onset diabetes: a 23-year follow-up of the Da Qing Diabetes Study.

Yuanchi Hui, Jinping Wang, Yali An, Qiuhong Gong, Hui Li, Bo Zhang, Ying Shuai, Yanyan Chen, Yinghua Hu, Guangwei Li

Abstract read
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Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

10 authors.

Yuanchi HuiCenter of of Endocrinology and Cardiology, Fu Wai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jinping WangDepartment of Cardiology, Da Qing First Hospital, Da Qing, China.
Yali AnCenter of of Endocrinology and Cardiology, Fu Wai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Qiuhong GongCenter of of Endocrinology and Cardiology, Fu Wai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Hui LiDepartment of Cardiology, Da Qing First Hospital, Da Qing, China.
Bo ZhangDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Ying ShuaiDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Yanyan ChenCenter of of Endocrinology and Cardiology, Fu Wai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yinghua HuDepartment of Cardiology, Da Qing First Hospital, Da Qing, China.
Guangwei LiCenter of of Endocrinology and Cardiology, Fu Wai Hospital, Chinese Academy of Medical Sciences, Beijing, China. guangwei_li45@126.com.ORCID 0000-0001-6997-4880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate premature mortality and the risk of cardiovascular disease (CVD) in Chinese adults with diabetes diagnosed before the age of 45 years.

methodsA total of 519 participants with normal glucose tolerance (NGT) and 630 with newly diagnosed diabetes mellitus (DM) were recruited in 1986 in the Da Qing Diabetes Study. In 2009, the participants were followed up to assess mortality and CVD events. The subjects were stratified into four subgroups according to age and diabetes status: age <45 years with NGT (NGT

resultsDuring the 23-year follow-up, 26 (10.40%) participants in NGT

conclusionsYoung-onset diabetes is a risk factor for the premature death and cardiovascular disease. Early prevention and intensive treatment are warrented in patients with young-onset diabetes.

Indexed as

Mortality, PrematureAdultAgedAge of OnsetCardiovascular DiseasesChinaDiabetes MellitusDiabetic AngiopathiesFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk FactorsCardiovascular diseaseFollow-upPremature deathYoung-onset diabetes

Identifiers

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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.