Evidence map›Paper›PMID 31335679›Full record

ArticleMedicine2019

Effects of long-term glycemic variability on incident cardiovascular disease and mortality in subjects without diabetes: A nationwide population-based study.

Ji Hee Yu, Kyungdo Han, Sanghyun Park, Da Young Lee, Ga Eun Nam, Ji A Seo, Sin Gon Kim, Sei Hyun Baik, Yong Gyu Park, Seon Mee Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 43 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

12 authors at 2 institutions in 1 country.

Ji Hee YuDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Kyungdo HanDepartment of Biostatistics, College of Medicine, The Catholic University of Korea.
Sanghyun ParkDepartment of Biostatistics, College of Medicine, The Catholic University of Korea.
Da Young LeeDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Ga Eun NamDepartment of Family Medicine, College of Medicine, Korea University, Seoul, Korea.
Ji A SeoDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Sin Gon KimDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Sei Hyun BaikDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Yong Gyu ParkDepartment of Biostatistics, College of Medicine, The Catholic University of Korea.
Seon Mee KimDepartment of Family Medicine, College of Medicine, Korea University, Seoul, Korea.
Nan Hee KimDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Kyung Mook ChoiDepartment of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University.
Korea University · KRCatholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased glycemic variability (GV) is an independent risk factor for cardiovascular complications in patients with diabetes. We evaluated the risk of future development of cardiovascular disease (CVD) and death according to GV in a general population without diabetes.We used the National Health Insurance Service, providing a population-based, nationwide database of Koreans. We included individuals without diabetes who underwent glucose measurement at least 3 times during 2002 to 2006. GV was calculated as standard deviation (SD) of fasting plasma glucose (FPG) levels. We observed development of CVD or all-cause death from 2007 to 2015, and also evaluated the mortality within 1 year after CVD.Among 3,211,319 people, we found 23,374 incident cases of myocardial infarction (MI), 27,705 cases of stroke, and 63,275 deaths during 8.3 years of follow-up. After multivariate adjustment, GV was found to be a significant predictor of MI, stroke and all-cause death for their highest quartile, with corresponding hazard ratios (HR) of 1.08 (95% confidence interval, CI 1.04-1.11), 1.09 (95% CI 1.06-1.13), and 1.12 (95% CI 1.10-1.15), respectively. The risk of death increased more in those who had both impaired fasting glucose and the highest quartile of GV (HR 1.24 [95% CI 1.21-1.28]). Moreover, early death rate after 1 year of CVD was higher in the highest quartile of GV compared to the lowest quartile (HR 1.21 [95% CI 1.03-1.41]).Long-term FPG variation was independently associated with CVD and mortality in a general population without diabetes.

Indexed as

Cardiovascular DiseasesMyocardial InfarctionStrokeAdultBlood GlucoseCause of DeathFastingFemaleFollow-Up StudiesHumansMaleMiddle AgedPrediabetic StateProportional Hazards ModelsRepublic of KoreaRisk FactorsBlood Glucose

Identifiers

PMID31335679
PMCPMC6709246
OpenAlexW2962782030

What Socratic 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 Socratic graph.