Evidence map›Paper›PMID 33879681›Full record

ArticleMedicine2021

Association between NEAT1 polymorphism and the risk of lung cancer: A protocol for systematic review and meta-analysis.

Zhongbao Hu, Jingsheng Chen, Ping Meng, Ming Li

Abstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genes · 2022
    Article
  5. Association Between Genetic Polymorphisms of lncRNAInfection and drug resistance · 2022
    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

4 authors.

Zhongbao HuDepartment of Oncology, E'zhou Central Hospital, E'zhou, Hubei Province, China.
Jingsheng Chen
Ping Meng

Funding

Fund Project of Hubei Provincial Health Commission WJ2019H114
6 · The paper itself

Abstract

backgroundLong noncoding RNAs play vital roles in development and progression of lung cancers. Nuclear paraspeckle assembly transcript 1 (NEAT1) polymorphisms were reported to be closely related to lung cancer susceptibility. Recently, numerous studies have been performed to detect the association between NEAT1 polymorphisms and lung cancer susceptibility. However, their results were inconsistent and controversial. So, we carried out a meta-analysis aiming to define the association exactly.

methodsAppropriate studies were retrieved from searching Web of Science, PubMed, Scopus, and Google scholar databases, updated January 31, 2021. The pooled odds ratios with 95% confidence intervals were calculated to estimate the strength of the association between NEAT1 polymorphisms and lung cancer risk. All of the data were analyzed with Stata 16.0.

resultsThe results of this meta-analysis will be submitted to a peer-reviewed journal for publication.

conclusionThis meta-analysis will summarize the relationship between NEAT1 polymorphism and lung cancer.

Indexed as

Genetic Predisposition to DiseaseGene Expression Regulation, NeoplasticHumansLung NeoplasmsMeta-Analysis as TopicPolymorphism, Single NucleotideRisk FactorsRNA, Long NoncodingSystematic Reviews as TopicNEAT1 long non-coding RNA, humanRNA, Long Noncoding

Identifiers

PMID33879681
PMCPMC8078369

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Registered trials

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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.