Evidence map›Paper›PMID 28809453›Full record

SynthesisCancer medicine2017

A meta-analysis: microRNAs' prognostic function in patients with nonsmall cell lung cancer.

Na Yu, Qingjun Zhang, Qing Liu, Jiayu Yang, Sheng Zhang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Na YuDepartment of Epidemiology and Medical Statistics, Wuhan University, Hubei, China.
Qingjun ZhangThe Center for Disease Control and Prevention of Hubei Province, Hubei, China.ORCID http://orcid.org/0000-0003-4154-6918
Qing LiuDepartment of Epidemiology and Medical Statistics, Wuhan University, Hubei, China.
Jiayu YangZhongnan Hospital of Wuhan University, Hubei, China.
Sheng ZhangDepartment of Epidemiology and Medical Statistics, Nantong University, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating papers have demonstrated that microRNAs play an important role in the progression of lung cancer, mainly as oncogenic and tumor suppressive. Therefore, microRNAs may influence the survival of lung cancer patients. In this meta-analysis, we evaluated the role of microRNAs in affecting the overall survival in nonsmall cell lung cancer (NSCLC) patients, which may provide valuable information for the treatment of nonsmall cell lung cancer. We used keywords to retrieve literatures from online databases PUBMED, EMBASE and Web of Science and included 12 studies into our investigation according to pre-set criteria. Then, we analyzed the data with stata13.1 to evaluate the microRNAs role on the prognosis of NSCLC patients. NSCLC patients with higher microRNAs expression levels tend to show lower overall survival. HR (hazard ratio): 2.49, 95% CI (confidence interval): 1.84-3.37. Besides, both oncogenic and tumor suppressive microRNAs have an evident influence on prognosis with HR values of 2.60 (95% CI: 2.12-3.19) and 0.41 (95% CI: 0.05-0.34), respectively. microRNAs, especially from tissue, have an influence on overall survival of NSCLC patients, which indicates that microRNAs could serve as potential prognostic markers for NSCLC and may provide a treatment strategy for advanced NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMicroRNAsPrognosisSurvival AnalysisMicroRNAsMeta-analysismiRNAnonsmall cell lung canceroverall survival

Identifiers

PMID28809453
PMCPMC5603832

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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.