Evidence map›Paper›PMID 33809103›Full record

ArticleJournal of personalized medicine2021

Differences in the Microbial Composition of Hemodialysis Patients Treated with and without β-Blockers.

Yi-Ting Lin, Ting-Yun Lin, Szu-Chun Hung, Po-Yu Liu, Wei-Chun Hung, Wei-Chung Tsai, Yi-Chun Tsai, Rachel Ann Delicano, Yun-Shiuan Chuang, Mei-Chuan Kuo and 2 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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. Observational
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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

12 authors.

Yi-Ting LinDepartment of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.ORCID 0000-0002-5833-0040
Ting-Yun LinDivision of Nephrology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan.ORCID 0000-0002-6037-398X
Szu-Chun HungDivision of Nephrology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan.
Po-Yu LiuDepartment of Internal Medicine, College of Medicine, National Taiwan University, Taipei 100225, Taiwan.ORCID 0000-0003-1290-0850
Wei-Chun HungDepartment of Microbiology and Immunology, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Wei-Chung TsaiDivision of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.ORCID 0000-0002-1123-6954
Yi-Chun TsaiFaculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.ORCID 0000-0003-4923-3342
Rachel Ann DelicanoInstitute of Surgical Sciences, Uppsala University, 752 36 Uppsala, Sweden.
Yun-Shiuan ChuangDepartment of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.ORCID 0000-0001-5077-191X
Mei-Chuan KuoFaculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Yi-Wen ChiuFaculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Ping-Hsun WuFaculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.ORCID 0000-0003-1021-8161

Funding

Kaohsiung Medical University Hospital, Taiwan KMUH105-5R15, KMUH106-6R17, KMUH106-6T03, KMUH107-7R16, KMUH107-7R78, KMUH108-8M11, KMUH108-8R70, KMUH109-9R16, and KMUH109-9R81Kaohsiung Medical University, Taiwan KMU-Q108024 and KMU-Q108027Ministry of Science and Technology, Taiwan MOST 106-2314-B-037-054Ministry of Science and Technology, Taiwan MOST 107-2314-B-037-098-MY3Ministry of Science and Technology, Taiwan MOST 107-2314-B-037-104NSYSU-KMU JOINT RESEARCH PROJECT NSYSUKMU 105-I005 and NSYSUKMU 106-I005
6 · The paper itself

Abstract

β-blockers are commonly prescribed to treat cardiovascular disease in hemodialysis patients. Beyond the pharmacological effects, β-blockers have potential impacts on gut microbiota, but no study has investigated the effect in hemodialysis patients. Hence, we aim to investigate the gut microbiota composition difference between β-blocker users and nonusers in hemodialysis patients. Fecal samples collected from hemodialysis patients (83 β-blocker users and 110 nonusers) were determined by 16S ribosomal RNA amplification sequencing. Propensity score (PS) matching was performed to control confounders. The microbial composition differences were analyzed by the linear discriminant analysis effect size, random forest, and zero-inflated Gaussian fit model. The α-diversity (Simpson index) was greater in β-blocker users with a distinct β-diversity (Bray-Curtis Index) compared to nonusers in both full and PS-matched cohorts. There was a significant enrichment in the genus

Indexed as

beta-blockerhemodialysismicrobiomenext-generation sequencingpropensity score matching methods

Identifiers

PMID33809103
PMCPMC8002078

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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.