Evidence map›Paper›PMID 29682211›Full record

ArticleOncotarget2018

Systematic review and meta-analysis of the prognostic significance of microRNAs in cervical cancer.

Zhilan Chen, Yingyan Han, Chengwen Song, Huafang Wei, Ying Chen, Kecheng Huang, Shuang Li, Ding Ma, Shixuan Wang, Jing Wang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

11 authors at 3 institutions in 1 country.

Zhilan Chen *Department of Obstetrics and Gynecology, Wuhan General Hospital of People's Liberation Army of China, Wuhan, Hubei, China.
Yingyan Han *Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chengwen SongDepartment of Obstetrics and Gynecology, Wuhan General Hospital of People's Liberation Army of China, Wuhan, Hubei, China.
Huafang WeiDepartment of Obstetrics and Gynecology, Wuhan General Hospital of People's Liberation Army of China, Wuhan, Hubei, China.
Ying ChenDepartment of Obstetrics and Gynecology, Wuhan General Hospital of People's Liberation Army of China, Wuhan, Hubei, China.
Kecheng HuangDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shuang LiDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ding MaDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shixuan WangDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jing WangDepartment of Obstetrics and Gynecology, Wuhan General Hospital of People's Liberation Army of China, Wuhan, Hubei, China.
Qiping LuDepartment of General Surgery, Wuhan General Hospital of People's Liberation Army of China, Wuhan, Hubei, China.
Wuhan General Hospital of Guangzhou · CNHuazhong University of Science and Technology · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this meta-analysis, we analyzed case-control studies that assessed the prognostic potential of miRNAs in cervical cancer. We comprehensively searched EMBASE and PubMed databases and enrolled seven studies with 445 cervical cancer cases. A fixed effects model was used to calculate pooled hazard ratios (HRs) and associated 95% confidence intervals (95% CIs) from the overall survival (OS) data. Our analysis showed that poor OS in cervical cancer was associated with low miR-125 expression (HR = 1.61, 95% CI: 1.02-2.55,

Indexed as

cervical cancermeta-analysismiRNAprognosis

Identifiers

PMID29682211
PMCPMC5908312
OpenAlexW2781977401

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.