Evidence map›Paper›PMID 30539656›Full record

Observational studyExperimental biology and medicine (Maywood, N.J.)2019

Fecal microbiota analysis of polycystic kidney disease patients according to renal function: A pilot study.

Rabi Yacoub, Girish N Nadkarni, Daniel I McSkimming, Lee D Chaves, Sham Abyad, Mark A Bryniarski, Amanda M Honan, Shruthi A Thomas, Madan Gowda, John C He and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Experimental biology and medicine (Maywood, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Gut Dysbiosis and Kidney Diseases.Frontiers in medicine · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Microbiome: Our opponents or allies in healthcare and medicine.Experimental biology and medicine (Maywood, N.J.) · 2019
    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

11 authors.

Rabi Yacoub1 Department of Internal Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.
Girish N Nadkarni2 Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Daniel I McSkimming3 Genome, Environment and Microbiome (GEM) Community of Excellence, University at Buffalo, Buffalo, NY 14203, USA.
Lee D Chaves1 Department of Internal Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.
Sham Abyad1 Department of Internal Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.
Mark A Bryniarski4 Department of Pharmaceutical Sciences, University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY 14214, USA.
Amanda M Honan1 Department of Internal Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.
Shruthi A Thomas1 Department of Internal Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.
Madan Gowda1 Department of Internal Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.
John C He2 Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Jaime Uribarri2 Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
NCATS NIH HHS UL1 TR001412
6 · The paper itself

Abstract

impact statementThe heterogeneity of the renal disease, therapeutic interventions, and the original cause of the renal failure, all directly affect the microbiota. We delineate in this report the direct effect of decreased renal function on the bacterial composition following stringent criteria to eliminate the possibilities of other confounding factors and dissect the direct effects of the uremic milieu. We analyzed the microbiome following three different approaches to further evaluate the effects of mild, moderate and advanced renal insufficiency on the microbiome. We also present here a detailed functional analysis of the projected altered pathways secondary to changes in the microbiome composition.

Indexed as

FecesKidney Function TestsMicrobiotaPolycystic Kidney DiseasesAdultBiodiversityFemaleGlomerular Filtration RateHumansMaleMiddle AgedPhylogenyPilot ProjectsRenal DialysisSpecies Specificitygut bacterial microbiotahemodialysisPICRUSt analysisPolycystic kidney diseaserenal insufficiencyuremic milieu

Identifiers

PMID30539656
PMCPMC6547006

What OpenQuestion holds

Textmetadata
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.