Evidence map›Paper›PMID 35284109›Full record

ArticleJournal of gastrointestinal oncology2022

Integrated omics analysis: the relationship between significantly increased

Yu-Chong Peng, Xin-Hua Zhao, Chuan-Fa Zeng, Jing-Xuan Xu, Lu-Nan Qi, Le-Qun Li

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Yu-Chong Peng *Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Xin-Hua Zhao *Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Chuan-Fa Zeng *Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Jing-Xuan XuDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Lu-Nan QiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Le-Qun LiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Guangxi Medical University · CNMinistry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study sought to evaluate the association between intestinal Methods: Patients with B-HCC were divided into Groups A and B based on the presence or absence of PHLF. 16S ribosomal ribonucleic acid surveys were used to identify gut microbiome alterations. PICRUST2 was used to examine the metagenomic data in PHLF patients. Fecal and serum samples were processed by chromatography-mass spectrometry based non-targeted metabonomics, then comprehensively analyzed to obtain hub metabolites. A Spearman correlation analysis was then conducted to find any associations between fecal differential metabolites and the relative abundance of differential microbes. Results: Hepatectomies were significantly associated with a gut microbial imbalance in B-HCC patients, and a significant elevation of Conclusions: Hepatectomy can lead to an imbalance of intestinal microflora in B-HCC patients. Due to its potential connections with 3-methyl-2-oxobutanoic acid in the BCAA pathway, significantly increased

Indexed as

3-methyl-2-oxobutanoic acidgut microbiotaHepatitis B virus-related hepatocellular carcinoma (hepatitis B-HCC)Klebsiellapost-hepatectomy liver failure (PHLF)

Identifiers

PMID35284109
PMCPMC8899754
OpenAlexW4210276313

What OpenQuestion holds

Textmetadata
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.