Evidence map›Paper›PMID 32978754›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2020

Association Between Fasting Blood Glucose and All-Cause Mortality in a Rural Chinese Population: 15-Year Follow-Up Cohort Study.

Nannan Cheng, Yue Zhang, Jie Yang, Jingyi Li, Lijing Ye, Ziyi Zhou, Zhuo Wang, Lishun Liu, Yun Song, Zhibo Yang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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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

20 authors at 8 institutions in 3 countries.

Nannan ChengState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Yue ZhangState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Jie YangState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Jingyi LiState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Lijing YeState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Ziyi ZhouBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Zhuo WangBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Lishun LiuBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Yun SongBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Zhibo YangChinese Medicine Hospital of Zhaotong, Zhaotong, Yunnan, China.
Guiping SheThe Second Affiliated Hospital of Shaoyang University, Shaoyang, Hunan, China.
Xue BaiThe Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
Xiao HuangDepartment of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xiaoshu ChengDepartment of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, Nanchang, China.
Genfu TangSchool of Health Administration, Anhui Medical University, Hefei, China.
Binyan WangSchool of Health Administration, Anhui Medical University, Hefei, China.
Xianhui QinNational Clinical Research Study Center for Kidney Disease, the State Key Laboratory for Organ Failure Research; Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Pierre ZallouaSchool of Medicine, Lebanese American University, Byblos, Lebanon.
Fangrong YanState Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China. f.r.yan@163.com.ORCID http://orcid.org/0000-0003-3347-5021
Xiping XuBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China. xipingxu126@126.com.
China Pharmaceutical University · CNAnhui Medical University · CNChina Agricultural University · CNNanchang University · CNNanfang Hospital · CNLebanese American University · LBShaoyang University · CNSouthwest Medical University · CN

Funding

Xiping Xu [2016YFE0205400]Xiping Xu [2018ZX09301034003]Xiping Xu [2018ZX09739010]
6 · The paper itself

Abstract

introductionThe worldwide prevalence of diabetes has been increasing for decades; diabetes can lead to serious health problems and even death, but the effects of maintaining low fasting blood glucose (FBG) remain controversial. The purpose of this study was to investigate the relationship between FBG levels and all-cause mortality in a long-term follow-up cohort and to find a relatively safe range of FBG levels.

methodsThis study included 17,902 adults from a community-based cohort study in rural China who were prospectively followed from 2003 to 2018. Generalized estimating equations were used to evaluate the association between FBG and all-cause mortality, adjusting for pertinent covariates and auto-correlations among siblings.

resultsA total of 1053 (5.9%) deaths occurred during 15 years of follow-up. There was a significant U-shaped association between all-cause mortality and FBG. Compared with the reference group (FBG of 5.6 - < 6.1 mmol/l), the risk of death among individuals with FBG levels < 5.6 mmol/l significantly increased by 38% (OR 1.34; 95% CI 1.13-1.59), while the risk of death among individuals with FBG ≥ 6.1 mmol/l or participants with a self-reported history of diabetes significantly increased by 51% (OR 1.49; 95% CI 1.20-1.85). Additionally, the U-shaped association remained steady in any stratification of risk factors.

conclusionOur study showed a significant U-shaped relationship between FBG levels and risk of all-cause mortality in this rural Chinese population. When FBG was within the range of 5.6 - < 6.1 mmol/l, the risk of all-cause mortality was the lowest.

Indexed as

All-cause mortalityFasting blood glucoseU-shaped relationship

Identifiers

PMID32978754
PMCPMC7547918
OpenAlexW3089097544

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.