Evidence map›Paper›PMID 34790729›Full record

ArticleAnnals of translational medicine2021

An integrated model of

Kun Zhang, Zhaojie Han, Hongmei Zhao, Siyao Liu, Fuchun Zeng

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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, 13 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 1 institution in 1 country.

Kun Zhang *Department of Thoracic Surgery, Sichuan Provincial People's Hospital, Chengdu, China.
Zhaojie Han *Department of Thoracic Surgery, Southwest Hospital, Army Medical University, Chongqing, China.
Hongmei ZhaoChosen Med Technology (Beijing) Co., Ltd., Beijing, China.
Siyao LiuChosen Med Technology (Beijing) Co., Ltd., Beijing, China.
Fuchun ZengDepartment of Thoracic Surgery, Sichuan Provincial People's Hospital, Chengdu, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung squamous cell carcinoma (LUSC) approximately accounts for a third of lung cancers. However, the role of N6-methyladenosine (m6A) in LUSC remains largely unknown according to previous studies.

methodsIn this study, we investigated the mutations, copy number variants (CNVs), expression of 20 m6A RNA methylation regulators, and clinical data from The Cancer Genome Atlas-LUSC (TCGA-LUSC). These data were used for the training cohort of screening potential biomarkers. The prognostic model of m6A RNA methylation regulators was constructed. A receiver operating characteristic (ROC) analysis was undertaken to determine the area under the curves (AUCs) (for 3- and 5-year survival) for the model. Additionally, the accuracy of the two-gene model was confirmed with external data verifications. Combined two-gene model and clinincal information were performed to construct a nomogram to predict patient's prognostic risk assessment.

resultsFat mass- and obesity-associated protein (

conclusions

Indexed as

biomarkersFat mass- and obesity-associated protein (FTO)lung squamous cell carcinoma (LUSC)methyltransferase-like 3 (METTL3)N6-methyladenosine (m6A)

Identifiers

PMID34790729
PMCPMC8576700
OpenAlexW3206663488

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.