Evidence map›Paper›PMID 26376075›Full record

Observational studyPloS one2015

Serum Gamma-Glutamyltransferase Levels Predict Clinical Outcomes in Hemodialysis Patients.

Woo Yeong Park, Eun Sil Koh, Su-Hyun Kim, Young Ok Kim, Dong Chan Jin, Ho Chul Song, Euy Jin Choi, Yong-Lim Kim, Yon-Su Kim, Shin-Wook Kang and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 6 institutions in 1 country.

Woo Yeong ParkDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Eun Sil KohDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Su-Hyun KimDepartment of Internal Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.
Young Ok KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Dong Chan JinDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ho Chul SongDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Euy Jin ChoiDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yong-Lim KimDepartment of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Yon-Su KimDepartment of Internal Medicine, College of Medicine, Seoul National University, Seoul, Korea.
Shin-Wook KangDepartment of Internal Medicine, College of Medicine, Yonsei University, Seoul, Korea.
Nam-Ho KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Chul Woo YangDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yong Kyun KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea; Cell Death Disease Research Center, The Catholic University of Korea, Seoul, Korea.
Seoul National University · KRCatholic University of Korea · KRChonnam National University · KRChung-Ang University · KRKyungpook National University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGamma-glutamyltransferase (GGT) is a biomarker of liver injury. GGT has also been reported to be a marker of oxidative stress and a predictor of mortality in the general population. Hemodialysis (HD) patients suffer from oxidative stress. The aim of our study was to investigate the relationship between serum GGT levels and clinical outcomes in HD patients.

methodsA total of 1,634 HD patients were enrolled from the Clinical Research Center registry for end-stage renal disease, a prospective cohort in Korea. Patients were categorized into three groups by tertiles of serum GGT levels. The primary outcome was all-cause, cardiovascular, or infection-related mortality and hospitalization.

resultsDuring the median follow-up period of 30 months, the highest tertile of serum GGT levels had a significantly higher risk for all-cause mortality (hazard ratio (HR) 2.39, 95% confidence interval (CI), 1.55-3.69, P<0.001), cardiovascular mortality (HR 2.14, 95% CI, 1.07-4.26, P = 0.031) and infection-related mortality (HR 3.07, 95% CI, 1.30-7.25, P = 0.011) using tertile 1 as the reference group after adjusting for clinical variables including liver diseases. The highest tertile also had a significantly higher risk for first hospitalization (HR 1.22, 95% CI, 1.00-1.48, P = 0.048) and cardiovascular hospitalization (HR 1.42, 95% CI, 1.06-1.92, P = 0.028).

conclusionsOur data demonstrate that high serum GGT levels were an independent risk factor for all-cause, cardiovascular, and infection-related mortality, as well as cardiovascular hospitalization in HD patients. These findings suggest that serum GGT levels might be a useful biomarker to predict clinical outcomes in HD patients.

Indexed as

BiomarkersCardiovascular DiseasesFemaleFollow-Up Studiesgamma-GlutamyltransferaseHospitalizationHumansInfectionsKidney Failure, ChronicMaleMiddle AgedPrognosisProspective StudiesRenal DialysisRisk FactorsSurvival RateBiomarkersgamma-Glutamyltransferasegamma-glutamyltransferase, human

Identifiers

PMID26376075
PMCPMC4573328
OpenAlexW2113589308

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.