Evidence map›Paper›PMID 35872872›Full record

ArticleBioMed research international2022

Analysis of Urinary Flora Characteristics in Urinary Tumor Based on 16S rRNA Sequence.

Jin Qiu, Jianxin Liu, Yi Zhong, Wang Liu, Zhangjie Zhou, Yun Li, Shiying Li

Abstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
    Review
  4. Review
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.

Jin QiuShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.ORCID https://orcid.org/0000-0002-2727-8120
Jianxin LiuShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.ORCID https://orcid.org/0000-0002-0496-9834
Yi ZhongShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.ORCID https://orcid.org/0000-0003-3279-3466
Wang LiuShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.
Zhangjie ZhouShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.
Yun LiShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.
Shiying LiShanghai TCM-Integrated Hospital, Shanghai University of Chinese Medicine, Shanghai 200082, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between urinary system tumors and urothelial microorganisms remains unexplored. This study is aimed at exploring the relationship between urinary flora and urinary tumors and identifying potential biomarkers for urinary tumors and new targets for prevention. We included four healthy adults (control group) and six patients diagnosed with urinary tract tumors (tumor group). In both groups, 10 and 50 ml clean middle urine samples were reserved. The 10 ml samples were analyzed (including pH, specific gravity, and leukocytes) using an automatic urine analyzer, and the 50 ml samples were analyzed by DNA extraction, 16S rRNA gene amplification, and high-throughput sequencing. The correlation between routine urine analysis and sequencing results was also analyzed. Testing using the DESeq2 method showed that, at the order level, there were significant differences in the abundance of Caulobacterales between the urinary flora of the two groups (

Indexed as

ActinomycetaceaeUrinary TractUrologic NeoplasmsAdultBacteriaEubacterialesHumansProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID35872872
PMCPMC9303133

What OpenQuestion holds

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Registered trials

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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.