Evidence map›Paper›PMID 36312946›Full record

ArticleFrontiers in microbiology2022

Research of cervical microbiota alterations with human papillomavirus infection status and women age in Sanmenxia area of China.

Jintao Hu, Yuhan Wu, Lili Quan, Wenjuan Yang, Jidong Lang, Geng Tian, Bo Meng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Cervicovaginal microbiome alterations across HPV infection.Frontiers in cellular and infection microbiology · 2026
    Article
  2. Review
  3. Review
  4. Transcriptomic analysis revealsOncology letters · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Use of probiotic lactobacilli in the treatment of vaginal infections:Frontiers in cellular and infection microbiology · 2023
    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.

Jintao HuFaculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia.
Yuhan WuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Lili QuanDepartment of Gynecology, Sanmenxia Central Hospital of Henan University of Science and Technology, Sanmenxia, Henan, China.
Wenjuan YangGenesis (Beijing) Co., Ltd., Beijing, China.
Jidong LangGenesis (Beijing) Co., Ltd., Beijing, China.
Geng TianGenesis (Beijing) Co., Ltd., Beijing, China.
Bo MengGenesis (Beijing) Co., Ltd., Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human papillomavirus (HPV) infection is the leading cause of cervical cancer. More and more studies discovered that cervical microbiota (CM) composition correlated with HPV infection and the development of cervical cancer. However, more studies need to be implemented to clarify the complex interaction between microbiota and the mechanism of disease development, especially in a specific area of China. Materials and methods: In this study, 16S rDNA sequencing was applied on 276 Thin-prep Cytologic Test (TCT) samples of patients from the Sanmenxia area. Systematical analysis of the microbiota structure, diversity, group, and functional differences between different HPV infection groups and age groups, and co-occurrence relationships of the microbiota was carried out. Results: The major microbiota compositions of all patients include Conclusion: The HPV infection status and age of women were related to CM's diversity and function pathways. The complex CM co-occurrent relationships and their mechanism in disease development need to be further investigated.

Indexed as

cervical cancerdiversityHPV - human papillomavirusmicrobiotaTCT

Identifiers

PMID36312946
PMCPMC9608786

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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.