Evidence map›Paper›PMID 31367697›Full record

ArticleChronic diseases and translational medicine2019

Fasting glucose and its association with 20-year all-cause and cause-specific mortality in Chinese general population.

Long Zhou, Jin-Zhuang Mai, Ying Li, Yong Wu, Min Guo, Xiang-Min Gao, Yang-Feng Wu, Lian-Cheng Zhao, Xiao-Qing Liu

Open access · goldAbstract read
In one paragraph

Article in Chronic diseases and translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Association Between Fasting Blood Glucose and All-Cause Mortality in a Rural Chinese Population: 15-Year Follow-Up Cohort Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Article
  7. 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

9 authors at 3 institutions in 1 country.

Long ZhouDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jin-Zhuang MaiDivision of Epidemiology, Guangdong Provincial Cardiovascular Institute, Guangdong General Hospital, Guangzhou, Guangdong 510100, China.
Ying LiDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Yong WuDivision of Epidemiology, Guangdong Provincial Cardiovascular Institute, Guangdong General Hospital, Guangzhou, Guangdong 510100, China.
Min GuoDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xiang-Min GaoDivision of Epidemiology, Guangdong Provincial Cardiovascular Institute, Guangdong General Hospital, Guangzhou, Guangdong 510100, China.
Yang-Feng WuPeking University Clinical Research Institute, Beijing 100191, China.
Lian-Cheng ZhaoDivision of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xiao-Qing LiuDivision of Epidemiology, Guangdong Provincial Cardiovascular Institute, Guangdong General Hospital, Guangzhou, Guangdong 510100, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuangdong General Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to explore the relationship between fasting glucose levels and all-cause and cause-specific mortality in Chinese population.

methodsThe role of fasting blood glucose levels as a predictor of all-cause and cause-specific mortality was estimated in 9930 participants from four Chinese general populations with a 20-year follow-up. Multivariate Cox proportional hazard models were used to identify the relationship between fasting glucose and mortality.

resultsThere were 1471 deaths after a median follow-up of 20.2 years (a total of 187,374 person-years), including 310 cardiovascular deaths, 581 cancer deaths, and 580 other-cause deaths. After adjustment for age, sex, urban or rural, northern or southern of China, types of work, education level, physical exercise, smoking status, drinking status, body mass index, systolic blood pressure, and serum total cholesterol at baseline, the hazard ratios (

conclusionsBoth low and high fasting glucose were significantly associated with increased risk of all-cause and cardiovascular mortality in Chinese general population.

Indexed as

Cardiovascular diseaseCohort studyFasting blood glucoseMortality

Identifiers

PMID31367697
PMCPMC6656876
OpenAlexW2894049332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.