ReviewProstate international2022
Possibilities and limitations of using low biomass samples for urologic disease and microbiome research.
Review in Prostate international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Unraveling the microbial landscape in prostate cancer: pathogenesis to therapy.NPJ biofilms and microbiomes · 2026Review
- Methodological bias shapes the interpretation of the urinary microbiome in low-biomass systems.Frontiers in microbiology · 2026Review
- The urinary microbiome: the next frontier of bacterial ecology.Journal of bacteriology · 2025Review
- Exploring urinary microbiome: insights into neurogenic bladder and improving management of urinary tract infections.Frontiers in cellular and infection microbiology · 2025Review
- Advances in human microbiome and prostate cancer research.Frontiers in immunology · 2025Review
- Prostate and urinary microbiomes in prostate cancer development: focus onFrontiers in cellular and infection microbiology · 2025Review
- Insights from immunomics and metabolomics on the associations between prostatic diseases and coronavirus disease 2019.Prostate international · 2024Article
- Monogenic features of urolithiasis: A comprehensive review.Asian journal of urology · 2024Review
- Current Trends and Challenges of Microbiome Research in Bladder Cancer.Current oncology reports · 2024Review
- Testosterone to Luteinizing Hormone Ratio as a Potential Predictor of Sperm Retrieval in Non-Obstructive Azoospermia Patients.Yonsei medical journal · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the dogma of sterile urine no longer held as truth, numerous studies have implicated distinct changes in microbial diversity and composition to diseased subgroups in both benign and malignant urological diseases, ranging from overactive bladder to bladder and prostate cancer. Further facilitated by novel and effective techniques of urine culture and sequencing, analysis of the genitourinary microbiome holds high potential to identify biomarkers for disease and prognosis. However, the low biomass of samples included in microbiome studies of the urinary tract challenge researchers to draw definitive conclusions, confounded by technical and procedural considerations that must be addressed. Lack of samples and adequate true negative controls can lead to overestimation of microbial influence with clinical relevance. As such, results from currently available studies and assessment of their limitations required a thorough understanding. The purpose of this narrative review was to summarize notable microbiome studies in the field of urology with a focus on significant findings and limitations of study design. Methodological considerations in future research are also discussed.
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Identifiers
What OpenQuestion holds
Registered trials
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.