Evidence map›Paper›PMID 26770329›Full record

ArticleInternational journal of clinical and experimental medicine2015

Prognostic significance of MiR-34a in solid tumors: a systemic review and meta-analysis with 4030 patients.

Fanghui Ren, Xin Zhang, Haiwei Liang, Dianzhong Luo, Minhua Rong, Yiwu Dang, Gang Chen

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. A miR-34a-guided, tRNACell death discovery · 2022
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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

7 authors at 2 institutions in 1 country.

Fanghui RenDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
Xin ZhangDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
Haiwei LiangDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
Dianzhong LuoDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
Minhua RongDepartment of Research, Affiliated Cancer Hospital, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
Yiwu DangDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
Gang ChenDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the present meta-analysis and systematic review was to explore the association between the expression of miR-34a and prognosis in solid tumor.

methodsPubMed, Google Scholar, Web of Science and NCBI databases were used to search studies to evaluate the effect of miR-34a expression on clinical outcomes, including overall survival (OS), recurrence-free survival (RFS), disease-free survival (DFS), progression-free survival (PFS) and event-free survival (EFS) in solid tumor. The pooled random effect models were performed to calculate pooled hazard ratio (HR), 95% confidence interval (CI) to assess the association.

resultsTwenty-three eligible studies with 4030 patients were included in this meta-analysis. It was confirmed that increased expression of miR-34a was in relevant with better DFS/RFS/PFS/EFS, which was identified with both univariate and multivariate models (univariate model: HR = 0.62, 95% CI: 0.42-0.92, P = 0.019; multivariate model: HR = 0.55, 95% CI: 0.34-0.88, P = 0.013). Furthermore, in the analysis of relationship between miR-34a and DFS/RFS/PFS/EFS, the results remained similar when excluding the studies contributed to the heterogeneity (univariate analysis: HR = 0.57, 95% CI: 0.46-0.70, P < 0.001; multivariate analysis: HR = 0.57, 95% CI: 0.43-0.75, P < 0.001). With univariate analysis, it was also demonstrated that miR-34a overexpression might be positively associated with a favorable OS in solid tumor (HR = 0.73, 95% CI: 0.54-1.00, P = 0.005) with considering an obvious heterogeneity.

conclusionOur current study supports the notion that miR-34a may be a potential biomarker to predict OS and RFS/PFS/DFS/EFS in solid tumor.

Indexed as

cancermeta-analysismiR-34aprognosis

Identifiers

PMID26770329
PMCPMC4694229
OpenAlexW2338961863

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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.