Evidence map›Paper›PMID 34367534›Full record

ArticleJournal of healthcare engineering2021

Gene Characteristics and Prognostic Values of m

Na Li, Xiaojuan Chen, Yanhong Liu, Tieming Zhou, Wei Li

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. FTO in Lung Cancer: Its Progression and Therapeutic Potential.Combinatorial chemistry & high throughput screening · 2024
    Review
  4. The role of regulators of RNA mGenes & diseases · 2023
    Review
  5. Article
  6. Article
  7. Article
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 3 institutions in 1 country.

Na LiDepartment of Pathology, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
Xiaojuan ChenDepartment of Clinical Laboratory, Maternal and Child Care Hospital, Changsha, Hunan, China.
Yanhong LiuDepartment of Pathology, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
Tieming ZhouDepartment of Pathology, The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.ORCID 0000-0003-0607-2454
Wei LiDepartment of Geriatrics, Clinical Laboratory, Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-2894-6263
Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CNCentral South University · CNChangsha Hospital for Maternal and Child Health Care · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: N Methods: The copy number variation (CNV), mutation, mRNA expression data, and corresponding clinical pathology information of 1057 NSCLC patients were downloaded from the cancer genome atlas (TCGA) database. The gain and loss levels of CNVs were determined by utilizing segmentation analysis and GISTIC algorithm. The GSEA was conducted to explore the functions related to different levels of m Results: The genetic alterations of ten m Conclusion: Our findings provide novel insight for better understanding of the roles of m

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAlpha-Ketoglutarate-Dependent Dioxygenase FTODNA Copy Number VariationsGene Expression Regulation, NeoplasticHumansMethylationPrognosisRNARNA HelicasesAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanRNARNA HelicasesYTHDC2 protein, human

Identifiers

PMID34367534
PMCPMC8346307
OpenAlexW3188721556

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.