Evidence map›Paper›PMID 32481402›Full record

ArticleMedicine2020

Association between microRNA 21 expression in serum and lung cancer: A protocol of systematic review and meta-analysis.

Feng Qiao, Peng Luo, Chun-Hui Liu, Kai Fu, Yan-Bin Zhao

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Feng QiaoDepartment of Cardiothoracic Surgery.ORCID 0000-0002-1908-6049
Peng LuoDepartment of Cardiothoracic Surgery.
Chun-Hui LiuDepartment of Health Management Medical Examination Center, First Affiliated Hospital of Jiamusi University, Jiamusi.
Kai FuDepartment of Chest Surgery, First Affiliated Hospital of Harbin Medical University.
Yan-Bin ZhaoFifth Ward of Internal Medicine Department, Affiliated Cancer Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have reported that microRNA 21 (mRNA 21) has involved in the procedure of lung cancer (LC). However, its conclusions are still unclear. Thus, this study will try to elaborate the association between mRNA 21 expression in serum and LC.

methodsThe electronic databases of Cochrane Library, PubMed, EMBASE, Allied and Complementary Medicine Database, WANGFANG database, and China National Knowledge Infrastructure will be retrieved from the inception to the present. All electronic databases will be searched without limitations of language and geographical location. Case-controlled studies reporting the association between mRNA 21 expression in serum and LC will be included. In addition, we will also identify other literature sources to avoid missing potential studies. All study selection, information collection, and study quality assessment will be performed by 2 independent authors. RevMan V.5.3 software and Stata V.12.0 software will be used for data synthesis and analysis.

resultsThis study will summarize current evidence to investigate the association between mRNA 21 expression in serum and LC.

conclusionThe findings of this study will present comprehensive evidence to determine whether mRNA 21 expression in serum is relevant with LC or not. SYSTEMATIC REVIEW REGISTRATION: INPLASY202040055.

Indexed as

Biomarkers, TumorCase-Control StudiesEarly Detection of CancerHumansLung NeoplasmsMeta-Analysis as TopicMicroRNAsResearch DesignSystematic Reviews as TopicBiomarkers, TumorMicroRNAsMIRN21 microRNA, human

Identifiers

PMID32481402
PMCPMC12245372

What OpenQuestion holds

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LicenceCC BY
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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.