Evidence map›Paper›PMID 36639363›Full record

ArticleJournal of diabetes2023

Changes in fasting blood glucose status and incidence of cardiovascular disease: The China-PAR project.

Ye Tong, Fangchao Liu, Keyong Huang, Jianxin Li, Xueli Yang, Jichun Chen, Xiaoqing Liu, Jie Cao, Shufeng Chen, Ling Yu and 9 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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

19 authors at 7 institutions in 1 country.

Ye TongDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Fangchao LiuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Keyong HuangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianxin LiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xueli YangTianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0002-8373-4389
Jichun ChenKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaoqing LiuDivision of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China.
Jie CaoKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shufeng ChenKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ling YuDepartment of Cardiology, Fujian Provincial Hospital, Fuzhou, China.
Yingxin ZhaoCardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, China.
Liancheng ZhaoKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ying LiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dongsheng HuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jianfeng HuangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiangfeng LuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chong ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Dongfeng GuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-2781-7825
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFujian Provincial Hospital · CNGuangdong Provincial People's Hospital · CNShandong First Medical University · CNSichuan Center for Disease Control and Prevention · CNTianjin Medical University · CNZhengzhou University · CN

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2017-I2M-1-004Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2019-I2M-2-003Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2021-I2M-1-010National Key Research and Development Program of China 2017YFC0211703National Key Research and Development Program of China 2018YFE0115300National Natural Science Foundation of China 12126602National Natural Science Foundation of China 82030102Research Unit of Prospective Cohort of Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences 2019RU038
6 · The paper itself

Abstract

backgroundThe effect of long-standing prediabetes or its transition on incident cardiovascular disease (CVD) is unclear. This study aimed to evaluate the association of changes in fasting blood glucose (FBG) status with the risk of developing CVD.

methodsThis research included 12 145 Chinese adults aged 35-74 years and free from diabetes mellitus (DM) at baseline. Study participants were cross-classified into six categories according to glucose at the first (1998-2001) and the second visit after 8 years: normal fasting glucose (NFG; 50-99 mg/dl), impaired FBG (IFG; 100-125 mg/dl), and DM. Cox proportional hazard regression model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for CVD associated with transition of glucose status.

resultsDuring a median follow-up of 5.5 years, 373 incident CVD cases occurred. Compared with participants remaining persistent NFG, a higher risk of developing CVD was identified among those remaining persistent IFG, progressing to DM from NFG or from IFG, with the multivariate-adjusted HR (95% CI) of 1.792 (1.141, 2.816), 1.723 (1.122, 2.645) and 1.946 (1.120, 3.381), respectively. Furthermore, when stratified by glucose status at baseline, persistent IFG and progression from IFG to DM still increased CVD risk in comparison with reversion from IFG to NFG, with the multivariate-adjusted HR (95% CI) of 1.594 (1.003, 2.532) and 1.913 (1.080, 3.389).

conclusionsParticipants with long-standing IFG and progressing to DM had a higher risk of developing CVD. Further well-designed studies are warranted to assess the association of other phenotypes or prediabetes duration with CVD.

Indexed as

Cardiovascular DiseasesDiabetes MellitusPrediabetic StateBlood GlucoseFastingHumansIncidenceRisk FactorsBlood Glucosecardiovascular diseaseChinese populationimpaired fasting blood glucoseprospective cohort study中国人群前瞻性队列研究心血管疾病空腹血糖受损

Identifiers

PMID36639363
PMCPMC9934960
OpenAlexW4315978903

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.