Evidence map›Paper›PMID 30664733›Full record

Trial reportProstate cancer and prostatic diseases2019

Prospective examination of the changes in the urinary microbiome induced by transrectal biopsy of the prostate using 16S rRNA gene analysis.

Shaheen Alanee, Ahmed El-Zawahry, Danuta Dynda, Kevin McVary, Mallory Karr, Andrea Braundmeier-Fleming

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Prostate cancer and prostatic diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 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

6 authors at 2 institutions in 1 country.

Shaheen AlaneeVattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA. salanee1@hfhs.org.
Ahmed El-ZawahryDivision of Urology, Department of Surgery, Southern Illinois University School of Medicine, Springfield, IL, USA.
Danuta DyndaDivision of Urology, Department of Surgery, Southern Illinois University School of Medicine, Springfield, IL, USA.
Kevin McVaryDivision of Urology, Department of Surgery, Southern Illinois University School of Medicine, Springfield, IL, USA.
Mallory KarrDepartment of Medical Microbiology, Immunology, and Cell Biology, Southern Illinois University School of Medicine, Springfield, IL, USA.
Andrea Braundmeier-FlemingDepartment of Medical Microbiology, Immunology, and Cell Biology, Southern Illinois University School of Medicine, Springfield, IL, USA.
Southern Illinois University School of Medicine · USHenry Ford Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo prospectively examine the changes in microbiota within the urinary tract after transrectal prostate biopsy. MATERIALS AND

methodsData, urine, and fecal samples prospectively collected from 30 patients before and after transrectal biopsy of the prostate. DNA was extracted from urine collected after a prostate massage before and after prostate biopsy, and from fecal samples collected before the biopsy. We sequenced DNA using the bacterial 16S rRNA high-throughput next-generation sequencing and analyzed changes in microbial profiles for taxonomy comparison between samples.

resultsPre-biopsy urinary microbial profiles contained Lactobacillus and Staphylococcus bacteria. Post-biopsy urinary microbial profiles included lower levels of Lactobacillus and higher levels of Prevotella bacteria. Bacteroides bacteria were predominant in fecal samples. We identified two clustering patterns containing both pre- and post-biopsy urine samples. Cluster 1 had a urine cluster pattern that was distinct from fecal, whereas cluster 2 was similar to fecal. We observed two different modes of microbial changes, 11 patients had both of their urine (pre and post) samples associated with a particular cluster group, whereas others (n = 15) had movement between clusters 1 and 2 following the biopsy procedure. Four patient's post-biopsy urine microbial profiles clustered very tightly to the fecal microbial profile.

conclusionsWe describe two models of change in the urinary tract microbiota after prostate biopsy using 16S RNA gene analysis. Further research to determine what controls changes in the urinary microbiota after prostate biopsy can help us understand why some patients are more susceptible to develop post-biopsy infections.

Indexed as

AdultAntibiotic ProphylaxisBacteriaBacteriuriaBiopsy, Large-Core NeedleCephalosporinsDNA, BacterialFecesHigh-Throughput Nucleotide SequencingHumansMagnetic Resonance Imaging, InterventionalMaleMicrobiotaPostoperative ComplicationsPostoperative PeriodPreoperative Periodcephalosporin 112384CephalosporinsDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID30664733
OpenAlexW2914188577

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.