Evidence map›Paper›PMID 32471022›Full record

ReviewDiagnostics (Basel, Switzerland)2020

Urinary Microbiota-Are We Ready for Prime Time? A Literature Review of Study Methods' Critical Steps in Avoiding Contamination and Minimizing Biased Results.

Alin Adrian Cumpanas, Ovidiu Gabriel Bratu, Razvan Tiberiu Bardan, Ovidiu Catalin Ferician, Andrei Dragos Cumpanas, Florin George Horhat, Monica Licker, Catalin Pricop, Octavian Marius Cretu

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2020. 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. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Choice of 16S Ribosomal RNA Primers Impacts Male Urinary Microbiota Profiling.Frontiers in cellular and infection microbiology · 2022
    Article
  10. Review
  11. Voided Urinary Microbiota Is Stable Over Time but Impacted by Post Void Storage.Frontiers in cellular and infection microbiology · 2020
    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

9 authors.

Alin Adrian CumpanasDepartment of Urology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Ovidiu Gabriel BratuDepartment of Urology, Emergency Military Central Hospital, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Razvan Tiberiu BardanDepartment of Urology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Ovidiu Catalin FericianDepartment of Urology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Andrei Dragos CumpanasFaculty of Medicine, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Florin George HorhatDepartment of Microbiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0001-6133-0204
Monica LickerDepartment of Microbiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-9245-5883
Catalin PricopDepartment of Urology, Gr.Tr.Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.
Octavian Marius CretuDepartment of Surgery, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the last few years, there have been an increased number of clinical studies involving urinary microbiota. Low-biomass microbiome sequencing (e.g., urine, lung, placenta, blood) is easily biased by contamination or cross-contamination. So far, a few critical steps, from sampling urine to processing and analyzing, have been described (e.g., urine collection modality, sample volume size, snap freezing, negative controls usage, laboratory risks for contamination assessment, contamination of negative results reporting, exploration and discussion of the impact of contamination for the final results, etc.) We performed a literature search (Pubmed, Scopus and Embase) and reviewed the published articles related to urinary microbiome, evaluating how the aforementioned critical steps to obtain unbiased, reliable results have been taken or have been reported. We identified different urinary microbiome evaluation protocols, with non-homogenous reporting systems, which can make gathering results into consistent data for similar topics difficult and further burden the already so complex emerging field of urinary microbiome. We concluded that to ease the progress in this field, a joint approach from researchers, authors and publishers would be necessary in order to create mandatory reporting systems which would allow to recognize pitfalls and avoid compromising a promising field of research.

Indexed as

16S mRNA gene sequencingcontaminationurinary microbiota

Identifiers

PMID32471022
PMCPMC7345871

What OpenQuestion holds

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LicenceCC BY
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.