Evidence map›Paper›PMID 31212805›Full record

ArticleJournal of clinical medicine2019

γ-Glutamyltransferase Variability and the Risk of Mortality, Myocardial Infarction, and Stroke: A Nationwide Population-Based Cohort Study.

Hye Soo Chung, Ji Sung Lee, Jung A Kim, Eun Roh, You Bin Lee, So Hyeon Hong, Hye Jin Yoo, Sei Hyun Baik, Nan Hee Kim, Ji A Seo and 3 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Genetic Variants and Haplotypes inDNA and cell biology · 2020
    Article
  11. Common Variants inBiomolecules · 2020
    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

13 authors.

Hye Soo ChungDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, #1, Singil-ro, Yeongdeungpo-gu, Seoul 07441, Korea. soo3802@hanmail.net.ORCID 0000-0003-0819-5167
Ji Sung LeeClinical Research Center, Asan Medical Center, College of Medicine, Ulsan University, #88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea. totoro96a@gmail.com.ORCID 0000-0001-8194-3462
Jung A KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. frances.junga@gmail.com.
Eun RohDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. roheun@gmail.com.
You Bin LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. yb.snowyday1224@gmail.com.
So Hyeon HongDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. kicara@gmail.com.
Hye Jin YooDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. deisy21@naver.com.
Sei Hyun BaikDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. 103hyun@korea.ac.kr.
Nan Hee KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, College of Medicine, Korea University, #123, Jeokgeum-ro, Danwon-gu, Ansan-si 15355, Korea. nhkendo@gmail.com.
Ji A SeoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, College of Medicine, Korea University, #123, Jeokgeum-ro, Danwon-gu, Ansan-si 15355, Korea. seo-ji-a@hanmail.net.
Sin Gon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, College of Medicine, Korea University, #145, Anam-ro, Seongbuk-gu, Seoul 02841, Korea. k50367@korea.ac.kr.
Nam Hoon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, College of Medicine, Korea University, #145, Anam-ro, Seongbuk-gu, Seoul 02841, Korea. pourlife@naver.com.
Kyung Mook ChoiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Guro Hospital, College of Medicine, Korea University, 80 Guro-Dong, Guro-Gu, Seoul 08308, Korea. medica7@gmail.com.ORCID 0000-0001-6175-0225

Funding

Korea University Research Fund Q1625561National Research Foundation of Korea NRF- 2018R1D1A1B07049605
6 · The paper itself

Abstract

Although it has been suggested that the γ-glutamyltransferase (GGT) level is an indicator of cardiometabolic disorders, there is no previous study to evaluate the implication of GGT variability on the development of myocardial infarction (MI), stroke, all-cause mortality, and cardiovascular disease (CVD)-related mortality. GGT variability was measured as the coefficient variance (GGT-CV), standard deviation (GGT-SD), and variability independent of the mean (GGT-VIM). Using the population-based Korean National Health Insurance Service-Health Screening Cohort, we followed 158,736 Korean adults over a median duration of 8.4 years. In multivariable Cox proportional hazard analysis, the risk of mortality, MI, and stroke showed a stepwise increase according to the quartiles of GGT-CV, GGT-SD or GGT-VIM. In the highest quartile of GGT-CV compared to the lowest quartile after adjusting for confounding variables including mean GGT, the hazard ratios (HRs) for incident MI, stroke, mortality, and CVD-related mortality were 1.19 (95% confidence interval (CI), 1.06-1.34;

Indexed as

mortalitymyocardial infarctionstrokevariabilityγ-glutamyltransferase

Identifiers

PMID31212805
PMCPMC6617005

What OpenQuestion holds

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LicenceCC BY
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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.