Evidence map›Paper›PMID 29950859›Full record

ArticleOncoTargets and therapy2018

Prognostic value of miR-17-5p in cancers: a meta-analysis.

Weihao Kong, Yusheng Cheng, Hao Liang, Qiangxing Chen, Cuicui Xiao, Kun Li, Zenan Huang, Jian Zhang

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 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

8 authors.

Weihao Kong *Department of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yusheng Cheng *Department of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hao Liang *Department of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Qiangxing ChenDepartment of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Cuicui XiaoDepartment of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Kun LiDepartment of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zenan HuangDepartment of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jian ZhangDepartment of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that miR-17-5p plays an important role in the development of cancer. The aim of this meta-analysis was to quantitatively analyze the association of miR-17-5p with prognosis in various cancers. MATERIALS AND

methodsWe searched the PubMed, EMBASE, Web of Science, and Cochrane library databases for relevant studies through August 2017. The prognostic data and clinico-pathological features of overall survival (OS) and disease-free survival (DFS) were extracted to investigate the association between miR-17-5p expression and tumor prognosis. In addition, odds ratios (ORs) were used to assess the correlations between miR-17-5p expression and clinicopathological characteristics.

resultsA total of ten studies were incorporated into this systematic review, and we found that high miR-17-5p expression can predict poor OS for malignancies (combined hazard ratio [HR]=1.87; 95% confidence interval [CI], 1.37-2.55;

conclusionElevated expression of miR-17-5p suggested a poor prognosis in cancer patients and may serve as a new tumor marker to monitor cancer development and progression.

Indexed as

cancermeta-analysismiR-17-5pprognosis

Identifiers

PMID29950859
PMCPMC6016279

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