Evidence map›Paper›PMID 29163187›Full record

ArticleFrontiers in physiology2017

Prognostic Values of Long Noncoding RNA GAS5 in Various Carcinomas: An Updated Systematic Review and Meta-Analysis.

Qunjun Gao, Haibiao Xie, Hengji Zhan, Jianfa Li, Yuchen Liu, Weiren Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 26 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

6 authors at 4 institutions in 1 country.

Qunjun GaoKey Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, Graduate School of Guangzhou Medical University, Shenzhen, China.
Haibiao XieKey Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, Graduate School of Guangzhou Medical University, Shenzhen, China.
Hengji ZhanKey Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, Graduate School of Guangzhou Medical University, Shenzhen, China.
Jianfa LiKey Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, Graduate School of Guangzhou Medical University, Shenzhen, China.
Yuchen LiuKey Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, Graduate School of Guangzhou Medical University, Shenzhen, China.
Weiren HuangKey Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, Graduate School of Guangzhou Medical University, Shenzhen, China.
Guangzhou Medical University · CNShenzhen Second People's Hospital · CNShantou University Medical College · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth arrest-specific transcript 5 (GAS5) is a long noncoding RNA with low expression in multiple cancers. This meta-analysis aims to explore the association between GAS5 expression levels and cancer patients' prognosis. We collected all the relevant literatures about GAS5 expression levels associated with overall survival (OS), lymph node metastasis (LNM) and high tumor stage (II/III/IV) (HTS) from the PubMed and Web of Science. The hazard ratio (HR) and the corresponding 95% confidence interval (CI) were calculated to evaluate the link strength between GAS5 and cancer prognosis. A total of 934 patients from 14 studies were included to the present meta-analysis, according to the inclusion and exclusion criteria. The results demonstrated that low expression of GAS5 could predict poor OS in cancer patients (HR = 1.955, 95% CI: 1.551-2.465,

Indexed as

cancerGAS5high tumor stagelncRNAlymph node metastasismeta-analysisprognosis

Identifiers

PMID29163187
PMCPMC5673644
OpenAlexW2766648855

What OpenQuestion holds

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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.