Evidence map›Paper›PMID 36816016›Full record

ArticleFrontiers in genetics2023

Application of an angiogenesis-related genes risk model in lung adenocarcinoma prognosis and immunotherapy.

Jinsong Wang, Xue Cui, Yiming Weng, Jiayan Wei, Xinyi Chen, Peiwei Wang, Tong Wang, Jian Qin, Min Peng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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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

9 authors at 2 institutions in 1 country.

Jinsong WangDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Xue CuiDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Yiming WengDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Jiayan WeiDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Xinyi ChenDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Peiwei WangDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Tong WangDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Jian QinCentral Laboratory, Renmin Hospital, Wuhan University, Wuhan, China.
Min PengDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) is an essential pathological subtype of non-small cell lung cancer and offers a severe problem for worldwide public health. There is mounting proof that angiogenesis is a crucial player in LUAD progression. Consequently, the purpose of this research was to construct a novel LUAD risk assessment model based on genetic markers related to angiogenesis. We accessed The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases for LUAD mRNA sequencing data and clinical information. Based on machine algorithms and bioinformatics, angiogenic gene-related risk scores (RS) were calculated. Patients in the high-risk category had a worse prognosis (

Indexed as

angiogenesis-related genesimmunotherapylung adenocarcinomaprognosisrisk model

Identifiers

PMID36816016
PMCPMC9929558
OpenAlexW4318815294

What Socratic 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 Socratic graph.