Evidence map›Paper›PMID 34164477›Full record

ArticleAnnals of translational medicine2021

The predictive prognostic values of

Yuhao Chen, Lu Shen, Bairong Chen, Xiao Han, Yunchi Yu, Xiaosa Yuan, Lou Zhong

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Construction and clinical significance of prognostic risk markers based on cancer driver genes in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

7 authors at 2 institutions in 1 country.

Yuhao ChenDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Lu ShenDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Bairong ChenDepartment of Medical Laboratory, School of Public Health, Nantong University, Nantong, China.
Xiao HanDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Yunchi YuDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Xiaosa YuanDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Lou ZhongDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Affiliated Hospital of Nantong University · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is one of the most malignant tumors. However, neither the pathogenesis of lung cancer nor the prognosis markers are completely clear. The purpose of this study is to screen the diagnostic or prognostic markers of lung cancer.

methodsTCGA and GEO datasets were used to analyze the relationship between lung cancer-related genes and lung cancer samples. Common differential genes were screened, and a univariate Cox regression analysis was used to screen survival related genes. A univariable Cox proportional hazards regression analysis was used to verify the genes and construct risk model. The key factors affecting the prognosis of lung cancer were determined by univariate and multivariate regression analyses. The ROC curve, AUC and the survival of each risk gene was analyzed. Finally, the biological functions of high- and low-risk patients were explored by GSEA and an immune-infiltration analysis.

resultsBased on the common differential genes, 13 genes significantly related to lung cancer survival were identified. Eight risk genes (

conclusions

Indexed as

Gene Expression Omnibus (GEO)Lung cancerlung cancer markerslung cancer–related genesprognosisThe Cancer Genome Atlas (TCGA)

Identifiers

PMID34164477
PMCPMC8184469
OpenAlexW3164589370

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.