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Association of PNPLA3 rs738409 and TM6SF2 rs58542926 with health services utilization in a population-based study

Overview of attention for article published in BMC Health Services Research, February 2016
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Title
Association of PNPLA3 rs738409 and TM6SF2 rs58542926 with health services utilization in a population-based study
Published in
BMC Health Services Research, February 2016
DOI 10.1186/s12913-016-1289-6
Pubmed ID
Authors

Julia Köpp, Steffen Fleßa, Wolfgang Lieb, Marcello Ricardo Paulista Markus, Alexander Teumer, Georg Homuth, Henri Wallaschofski, Paul Marschall, Henry Völzke, Sebastian Edgar Baumeister

Abstract

Hepatic steatosis confers an increased risk of metabolic and cardiovascular disease and higher health services use. Associations of the single nucleotide polymorphisms (SNP) PNPLA3 rs738409 and TM6SF2 rs58542926 with hepatic steatosis have recently been established. This study investigates the association between rs738409 and rs58542926 with health services utilization in a general population. Data of 3759 participants from Study of Health in Pomerania (SHIP), a population-based study in Germany, were obtained. The annual number of outpatient visits, hospitalization and length of hospital stay was regressed on rs738409 and rs58542926 and adjusted for socio-economic factors, lifestyle habits, clinical factors, and health status. Minor allele homozygous subjects of rs738409 had an increased odds of hospitalization as compared to major allele homozygous subjects (odds ratio [OR] 1.51; 95 % confidence interval [CI], 1.02 to 2.15). Heterozygous subjects did not differ from major allele homozygous subjects with respect to their odds of hospitalization. The three genotype groups of rs738409 were similar with respect to the number of outpatient visits and inpatient days. Minor allele homozygous and heterozygous subjects of rs58542926 had higher outpatient utilization (+53.04 % and +67.56 %, p < 0.05, respectively) and inpatient days than major allele homozygous subjects. After adjustment for several confounding factors, PNPLA3 rs738409 and TM6SF2 rs58542926 were associated with the number of outpatient visits, hospitalization, and inpatient days. Further studies are warranted to replicate our findings and to evaluate whether genetic data can be used to identify subjects with excess health services utilization.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 45%
Student > Ph. D. Student 2 10%
Professor 2 10%
Other 1 5%
Lecturer 1 5%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Medicine and Dentistry 9 45%
Biochemistry, Genetics and Molecular Biology 3 15%
Economics, Econometrics and Finance 1 5%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2016.
All research outputs
#15,356,841
of 22,844,985 outputs
Outputs from BMC Health Services Research
#5,564
of 7,640 outputs
Outputs of similar age
#233,664
of 397,089 outputs
Outputs of similar age from BMC Health Services Research
#70
of 87 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.