Evidence map›Paper›PMID 33339445›Full record

ArticleCancers2020

Dynamics of Fecal Microbiota with and without Invasive Cervical Cancer and Its Application in Early Diagnosis.

Gi-Ung Kang, Da-Ryung Jung, Yoon Hee Lee, Se Young Jeon, Hyung Soo Han, Gun Oh Chong, Jae-Ho Shin

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  11. The cancer microbiome.Advances in clinical chemistry · 2025
    Review
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  16. Profiling of endogenous metabolites and changes in intestinal microbiota distribution after GEN-001 (The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024
    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

7 authors.

Gi-Ung KangDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea.
Da-Ryung JungDepartment of Biomedical Convergence Science & Technology, Kyungpook National University, Daegu 41566, Korea.
Yoon Hee LeeDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National University, Daegu 41404, Korea.
Se Young JeonDepartment of Obstetrics and Gynecology, Kyungpook National University Chilgok Hospital, Daegu 41404, Korea.
Hyung Soo HanClinical Omics Research Center, School of Medicine, Kyungpook National University, Daegu 41940, Korea.ORCID 0000-0001-7200-0921
Gun Oh ChongDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National University, Daegu 41404, Korea.ORCID 0000-0003-4887-4017
Jae-Ho ShinDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0001-6450-9787

Funding

Agricultural Microbiome R&D Program funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) 918010043SB010
6 · The paper itself

Abstract

The fecal microbiota is being increasingly implicated in the diagnosis of various diseases. However, evidence on changes in the fecal microbiota in invasive cervical cancer (ICC) remains scarce. Here, we aimed to investigate the fecal microbiota of our cohorts, develop a diagnostic model for predicting early ICC, and identify potential fecal microbiota-derived biomarkers using amplicon sequencing data. We obtained fecal samples from 29 healthy women (HC) and 17 women with clinically confirmed early ICC (CAN). Although Shannon's diversity index was not reached at statistical significance, the Chao1 and Observed operational taxonomic units (OTUs) in fecal microbiota was significantly different between CAN and HC group. Furthermore, there were significant differences in the taxonomic profiles between HC and CAN;

Indexed as

gut microbiomemachine learningpredictionvaginal microbiome

Identifiers

PMID33339445
PMCPMC7766064

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.