Evidence map›Paper›PMID 36092311›Full record

ArticleJournal of gastrointestinal oncology2022

Bioinformatic-based mechanism identification of

Wenlei Dong, Chao Zhan

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 10 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

2 authors at 1 institution in 1 country.

Wenlei DongDepartment of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Chao ZhanDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Third Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: HCC-related transcriptome data and patient clinical information downloaded from The Cancer Genome Atlas (TCGA) database. The expression of the Results: Ultimately, the following 6 potential ceRNA-based pathways targeting Conclusions: This study provides a valuable direction for researching transcription factor

Indexed as

bioinformaticsCompeting endogenous RNA (ceRNA)E2F1hepatocellular carcinoma (HCC)immunoassay

Identifiers

PMID36092311
PMCPMC9459178
OpenAlexW4293776444

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.