Evidence map›Paper›PMID 40146796›Full record

ArticlePolish journal of microbiology2025

Comparative Analysis of Microbiological Profiles and Antibiotic Resistance Genes in Subjects with Colorectal Cancer and Healthy Individuals.

Jun Li, Yanyun Zhu, Qing Chang, Yuan Gong, Jun Wan, Shiping Xu

Abstract readComparative Study
In one paragraph

Article in Polish journal of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Insights into toxin-antitoxin systems in the genusApplied and environmental microbiology · 2025
    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

6 authors.

Jun LiDepartment of Gastroenterology, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Yanyun ZhuDepartment of Oncology, First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Qing ChangDepartment of Gastroenterology, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Yuan GongDepartment of Gastroenterology, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Jun WanDepartment of Gastroenterology, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Shiping XuDepartment of Gastroenterology, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alteration of the gut microbiota (GM) is associated with various diseases, including colorectal cancer (CRC). With the development of next-generation sequencing techniques, metagenomic sequencing, along with metabolic function and antibiotic-resistant gene analyses, has been used to investigate differences in GM between CRC patients and healthy controls. Fecal samples were obtained from seven CRC patients and six healthy subjects, and the sequencing data were analyzed for similarity, a-diversity, principal component analysis (PCA), and linear discriminant analyses (LDA). Regarding Actinobacteria, 3 orders, 5 families, 9 genera, and 19 species were identified with no differences between the CRC and control groups, while the levels of

Indexed as

BacteriaColorectal NeoplasmsDrug Resistance, BacterialDrug Resistance, MicrobialGastrointestinal MicrobiomeAgedAnti-Bacterial AgentsCase-Control StudiesFecesFemaleHumansMaleMiddle AgedAnti-Bacterial AgentsActinobacteriaantibiotic resistant genescolorectal cancergut microbiotametagenomics

Identifiers

PMID40146796
PMCPMC11949384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.