Evidence map›Paper›PMID 33384966›Full record

ArticleFrontiers in cellular and infection microbiology2020

Alterations in Urobiome in Patients With Bladder Cancer and Implications for Clinical Outcome: A Single-Institution Study.

Jiarong Zeng, Guihao Zhang, Chunxiao Chen, Kun Li, Yuehui Wen, Jie Zhao, Peng Wu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
–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

57 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  14. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
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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

7 authors.

Jiarong ZengDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Guihao ZhangDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Chunxiao ChenDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Kun LiDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuehui WenDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jie ZhaoSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Peng WuDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies indicate that resident microbiome exists in urine of healthy individuals and dysbiosis of the urobiome (urinary microbiome) may be associated with pathological conditions. This study was performed to characterize the alterations in urobiome and explore its implications of clinical outcome in male patients with bladder cancer. 62 male patients with bladder cancer and 19 non-neoplastic controls were recruited. The follow-up study cohort included 40 patients who were diagnosed with non-muscle invasive bladder cancer (NMIBC) and underwent transurethral resection of bladder tumor (TURBT). Mid-stream urine samples were collected from all the participants the day before cystoscopy. DNA was extracted from urine pellet samples and processed for high throughput 16S rRNA amplicon sequencing of the V4 region using Illumina MiSeq. Sequencing reads were filtered using QIIME and clustered using UPARSE. We found bacterial richness indices (Observed Species index, Chao1 index, Ace index; all

Indexed as

MicrobiotaUrinary Bladder NeoplasmsFollow-Up StudiesHumansMaleNeoplasm Recurrence, LocalRNA, Ribosomal, 16SRNA, Ribosomal, 16Sbladder cancerdiversitymicrobiomeoutcomerecurrenceurinary tract

Identifiers

PMID33384966
PMCPMC7769872

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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.