Evidence map›Paper›PMID 36008975›Full record

ArticleBiomolecules2022

Bioinformatics Analysis of

Lijuan Wu, Xiaoxiao Tian, Hao Du, Xiaomin Liu, Haigang Wu

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 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

5 authors at 2 institutions in 1 country.

Lijuan WuDepartment of Gastroenterology, the First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China.
Xiaoxiao TianDepartment of Gastroenterology, the First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China.
Hao DuDepartment of Orthopedic, the First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China.
Xiaomin LiuDepartment of Gastroenterology, the First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China.
Haigang WuSchool of Life Sciences, Henan University, Kaifeng 475000, China.ORCID 0000-0002-3045-6370
First Affiliated Hospital of Henan University of Science and Technology · CNHenan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon adenocarcinoma is one of the tumors with the highest mortality rate, and tumorigenesis or development of colon adenocarcinoma is the major reason leading to patient death. However, the molecular mechanism and biomarker to predict tumor progression are currently unclear. With the goal of understanding the molecular mechanism and tumor progression, we utilized the TCGA database to identify differentially expressed genes. After identifying the differentially expressed genes among colon adenocarcinoma tissues with different expression levels of

Indexed as

AdenocarcinomaColonic NeoplasmsReceptors, G-Protein-CoupledBiomarkers, TumorCaco-2 CellsCarcinogenesisCholesterolComputational BiologyGene Expression Regulation, NeoplasticHumansBiomarkers, TumorCholesterolLGR4 protein, humanReceptors, G-Protein-Coupledbioinformatics analysiscolon adenocarcinomaLGR4tumorgenesis

Identifiers

PMID36008975
PMCPMC9406187
OpenAlexW4290465633

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.