Evidence map›Paper›PMID 31885739›Full record

SynthesisDisease markers2019

The Value of lncRNA GHET1 as a Prognostic Factor for Survival of Chinese Cancer Outcome: A Meta-Analysis.

Junying Song, Xian Chen, Qingwu Tian, Limin Lun, Qing Wang, Hongwei Wang, Xiaopeng Li, Zhongqiang Liu, Liyuan Tian, Xuran Jing and 2 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 1 institution in 1 country.

Junying SongDepartment of Biochemistry and Molecular Biology, Medical College of Qingdao University, Qingdao 266021, China.
Xian ChenDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Qingwu TianDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Limin LunDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.ORCID https://orcid.org/0000-0001-9543-3789
Qing WangDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Hongwei WangDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Xiaopeng LiDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Zhongqiang LiuDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Liyuan TianDepartment of Biochemistry and Molecular Biology, Medical College of Qingdao University, Qingdao 266021, China.
Xuran JingDepartment of Biochemistry and Molecular Biology, Medical College of Qingdao University, Qingdao 266021, China.
Yunyuan ZhangDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.ORCID https://orcid.org/0000-0003-1429-6183
Runhua TianDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.ORCID https://orcid.org/0000-0001-8316-6329
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThere is increasing evidence that high expression levels of the gastric carcinoma highly expressed transcript 1 (GHET1), a long noncoding RNA (lncRNA), are associated with cancer prognosis and may be used as a valuable biomarker for cancer patients. The purpose of this meta-analysis was to analyze existing data to reveal potential clinical applications of GHET1 for cancer prognosis and tumor progression. All of these studies included in this meta-analysis were collected through a variety of retrieval strategies; and the enrolled articles were qualified via the meta-analysis of enrolled studies in epidemiology (MOOSE) and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) checklists. MATERIALS AND

methodsThe literature collection was performed by a comprehensive search through electronic databases for studies published on or before March 10, 2019. These included the Cochrane library, PubMed, Embase, Web of Science, Springer, Science Direct, and three Chinese databases: CNKI, Weipu, and Wanfang. Seven studies that met the specified criteria were analyzed in the present research.

resultsThe combined results indicate that an elevated GHET1 expression level is significantly associated with poor overall survival (OS) (HR = 2.40, 95% CI: 1.87-3.08,

Indexed as

Up-RegulationBiomarkers, TumorChinaDisease ProgressionGene Expression Regulation, NeoplasticHumansLymphatic MetastasisNeoplasmsPrognosisRNA, Long NoncodingSurvival AnalysisBiomarkers, TumorGHET1 transcript, humanRNA, Long Noncoding

Identifiers

PMID31885739
PMCPMC6914916
OpenAlexW2989810718

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.