Evidence map›Paper›PMID 34447250›Full record

ArticleNeuropsychiatric disease and treatment2021

Serum Gamma-Glutamyltransferase Levels Predict the Development of Cerebral Infarction in the Korean Population.

Sang Min Lee, Eunhee Ha, Jae-Hong Ryoo

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

3 authors at 3 institutions in 1 country.

Sang Min LeeDepartment of Psychiatry, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Korea.ORCID 0000-0002-7834-8272
Eunhee HaDepartment of Occupational and Environment Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.
Jae-Hong RyooDepartment of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.
Ewha Womans University · KRKyung Hee University · KRKyung Hee University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study examined the relationship between serum gamma-glutamyltransferase concentration and the risk of cerebral infarction in the Koreans. MATERIALS AND

methodsA total of 209,481 out of 223,551 participants in the National Health Information Database who received medical checkups in 2009 were included in the final analysis. The diagnosis code ICD I63 was used for identifying cerebral infarction cases and tracked the development of cerebral infarction by 2013. Cox proportional hazards model was used to calculate hazard ratios (HRs) for cerebral infarction and their confidence interval (CI).

resultsDuring a follow-up period of 915,387.5 person-years, 2403 incident cases of cerebral infarction developed between 2009 and 2013. After adjusting for multiple covariates, the hazard ratios (95% confidence interval) for incident cerebral infarction, comparing the second, third, and fourth quartile of serum gamma-glutamyltransferase levels with the first quartile, were 1.11 (0.98-1.27), 1.39 (1.22-1.58), and 1.49 (1.29-1.71), respectively (

conclusionElevated serum gamma-glutamyltransferase levels were independently associated with the future development of cerebral infarction in Koreans.

Indexed as

cerebral infarctiongamma-glutamyltransferasestroke

Identifiers

PMID34447250
PMCPMC8384345
OpenAlexW3195345830

What OpenQuestion holds

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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 OpenQuestion graph.