Evidence map›Paper›PMID 34795472›Full record

ArticleEvolutionary bioinformatics online2021

Comparison of the Gut Microbiota in Patients with Benign and Malignant Breast Tumors: A Pilot Study.

Peidong Yang, Zhitang Wang, Qingqin Peng, Weibin Lian, Debo Chen

Abstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
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  4. Review
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  6. Article
  7. Mammary Gland Microbiota in Benign Breast Diseases.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Understanding the intricate interactions between microbiota and host.World journal of experimental medicine · 2025
    Review
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  13. Review
  14. Observational
  15. Review
  16. Article
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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

5 authors.

Peidong YangDepartment of Breast Surgery, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Zhitang WangDepartment of Breast Surgery, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Qingqin PengDepartment of Radiation Oncology, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Weibin LianDepartment of Breast Surgery, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Debo ChenDepartment of Breast Surgery, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian, China.ORCID https://orcid.org/0000-0003-3524-063X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiome plays diverse roles in many diseases and can potentially contribute to cancer development. Breast cancer is the most commonly diagnosed cancer in women worldwide. Thus, we investigated whether the gut microbiota differs between patients with breast carcinoma and those with benign tumors. The DNA of the fecal microbiota community was detected by Illumina sequencing and the taxonomy of 16S rRNA genes. The α-diversity and β-diversity analyses were used to determine richness and evenness of the gut microbiota. Gene function prediction of the microbiota in patients with benign and malignant carcinoma was performed using PICRUSt. There was no significant difference in the α-diversity between patients with benign and malignant tumors (

Indexed as

benign breast tumorbreast carcinomaCitrobacterclinicopathological factorsGut microbiome

Identifiers

PMID34795472
PMCPMC8593289

What OpenQuestion holds

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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.