Evidence map›Paper›PMID 26587841›Full record

ArticlePloS one2015

Candidate Gene Analysis of Mortality in Dialysis Patients.

Tonia C Rothuizen, Gurbey Ocak, Jeffrey J W Verschuren, Friedo W Dekker, Ton J Rabelink, J Wouter Jukema, Joris I Rotmans

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 7 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

7 authors at 1 institution in 1 country.

Tonia C RothuizenDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.
Gurbey OcakDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Jeffrey J W VerschurenDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Ton J RabelinkDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.
J Wouter JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Joris I RotmansDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDialysis patients have high cardiovascular mortality risk. This study aimed to investigate the association between SNPs of genes involved in vascular processes and mortality in dialysis patients.

methodsForty two SNPs in 25 genes involved in endothelial function, vascular remodeling, cell proliferation, inflammation, coagulation and calcium/phosphate metabolism were genotyped in 1330 incident dialysis patients. The effect of SNPs on 5-years cardiovascular and non-cardiovascular mortality was investigated.

resultsThe mortality rate was 114/1000 person-years and 49.4% of total mortality was cardiovascular. After correction for multiple testing, VEGF rs699947 was associated with all-cause mortality (HR1.48, 95% CI 1.14-1.92). The other SNPs were not associated with mortality.

conclusionsThis study provides further evidence that a SNP in the VEGF gene may contribute to the comorbid conditions of dialysis patients. Future studies should unravel the underlying mechanisms responsible for the increase in mortality in these patients.

Indexed as

AgedCardiovascular DiseasesDialysisEndotheliumFemaleGenetic Association StudiesHumansInflammationMaleMiddle AgedPolymorphism, Single NucleotideRenal Insufficiency, ChronicVascular Endothelial Growth Factor AVascular RemodelingVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID26587841
PMCPMC4654483
OpenAlexW2174901551

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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.