Evidence map›Paper›PMID 26617771›Full record

SynthesisInternational journal of clinical and experimental pathology2015

Golgi phosphoprotein3 overexpression is associated with poor survival in patients with solid tumors: a meta-analysis.

Yaqi Jiang, Yuqi Su, Yang Zhao, Changqie Pan, Li Chen

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in International journal of clinical and experimental pathology, 2015. 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

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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.

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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.

Yaqi JiangDepartment of Oncology, Subei People's Hospital, Yangzhou University Yangzhou 215002, Jiangsu, China.
Yuqi SuDepartment of Oncology, The First People's Hospital of Yueyang Yueyang 414000, Hunan, China.
Yang ZhaoDepartment of Oncology, Nanfang Hospital, Southern Medical University Guangzhou, Guangdong 510515, China.
Changqie PanDepartment of Oncology, Nanfang Hospital, Southern Medical University Guangzhou, Guangdong 510515, China.
Li ChenDepartment of Oncology, Subei People's Hospital, Yangzhou University Yangzhou 215002, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Golgi phosphoprotein3 (GOLPH3) is known as an oncoprotein and may be a prognostic biomarker in various tumors. Here we performed a meta-analysis on the association of GOLPH3 expression and survival in solid tumors. All eligible studies were identified in Embase, PubMed and Web of Science Databases up to November 2014. Data about overall survival (OS), and disease-free survival (DFS) were extracted and pooled hazard ratios (HRs) of GOLPH3 for survival were calculated by using a random-effect model. Heterogeneity and publication bias were also assessed. A total of 15 eligible studies which comprised of 2529 cases were included in this global analysis: 14 were dealing with overall survival (OS) and 6 were with disease-free survival (DFS). We found that GOLPH3 overexpression was associated with shorter OS (HR 2.487, 95% CI 1.897-3.258, P < 0.001) and DFS (HR 1.911, 95% CI 1.245-2.932, P = 0.003) in general carcinomas. Importantly, subgroup analysis suggested that overexpression of GOLPH3 correlated with shorter OS in urogenital system cancers (HR 4.258, 95% CI 1.81-4.91, P < 0.001). Moreover, publication bias was not significant (P > 0.05). In conclusion, the present meta-analysis showed that overexpression of GOLPH3 predicts poor prognosis in solid tumors.

Indexed as

Biomarkers, TumorChi-Square DistributionDisease-Free SurvivalDisease ProgressionHumansKaplan-Meier EstimateMembrane ProteinsMultivariate AnalysisNeoplasmsOdds RatioRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUp-RegulationBiomarkers, TumorGOLPH3 protein, humanMembrane ProteinsGolgi phosphoprotein3meta-analysisprognosissolid tumors

Identifiers

PMID26617771
PMCPMC4637586

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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.