Evidence map›Paper›PMID 37900242›Full record

ReviewWorld journal of clinical cases2023

Characteristics of amino acid metabolism in colorectal cancer.

Fen Xu, Hong-Liang Jiang, Wei-Wei Feng, Chen Fu, Jiang-Chang Zhou

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

5 authors at 1 institution in 1 country.

Fen XuDepartment of Gastroenterology, Xinhua Hospital Affiliated to Dalian University, Dalian 116000, Liaoning Province, China.
Hong-Liang JiangDepartment of Gastroenterology, Xinhua Hospital Affiliated to Dalian University, Dalian 116000, Liaoning Province, China.
Wei-Wei FengDepartment of Gastroenterology, Xinhua Hospital Affiliated to Dalian University, Dalian 116000, Liaoning Province, China.
Chen FuDepartment of Gastroenterology, Xinhua Hospital Affiliated to Dalian University, Dalian 116000, Liaoning Province, China.
Jiang-Chang ZhouDepartment of Gastroenterology, Xinhua Hospital Affiliated to Dalian University, Dalian 116000, Liaoning Province, China. endozhou@163.com.
Affiliated Zhongshan Hospital of Dalian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, metabolomics research has become a hot spot in the screening and treatment of cancer. It is a popular technique for the quantitative characterization of small molecular compounds in biological cells, tissues, organs or organisms. Further study of the tumor revealed that amino acid changes may occur early in the tumor. The rapid growth and metabolism required for survival result in tumors exhibiting an increased demand for amino acids. An abundant supply of amino acids is important for cancer to maintain its proliferative driving force. Changes in amino acid metabolism can be used to screen malignant tumors and improve therapeutic outcomes. Therefore, it is particularly important to study the characteristics of amino acid metabolism in colorectal cancer. This article reviews several specific amino acid metabolism characteristics in colorectal cancer.

Indexed as

Amino acid metabolismColorectal cancerGlutamineMetabolomics

Identifiers

PMID37900242
PMCPMC10601002
OpenAlexW4386745180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.