Evidence map›Paper›PMID 33816633›Full record

SynthesisBioMed research international2021

The Association between Five Genetic Variants in MicroRNAs (rs2910164, rs11614913, rs3746444, rs11134527, and rs531564) and Cervical Cancer Risk: A Meta-Analysis.

Jia Liu, Peng Dong, Liane Zhou, Shijun Wang

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

4 authors at 1 institution in 1 country.

Jia LiuDepartment of Obstetrics and Gynecology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-1125-1185
Peng DongDepartment of Obstetrics and Gynecology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Liane ZhouDepartment of Obstetrics and Gynecology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Shijun WangDepartment of Obstetrics and Gynecology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-2093-2425
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to conduct a meta-analysis to systematically summarize and investigate the association of miRNA-124 rs531564, miRNA-218 rs11134527, miRNA-146a rs2910164, miRNA-196a2 rs11614913, and miRNA-499 rs3746444 polymorphisms with cervical cancer. A systematic review was performed to identify relevant studies using Embase and PubMed databases. A chi-square-based

Indexed as

Models, GeneticPolymorphism, Single NucleotideFemaleHumansMicroRNAsRisk FactorsRNA, NeoplasmUterine Cervical NeoplasmsMicroRNAsRNA, Neoplasm

Identifiers

PMID33816633
PMCPMC7987420
OpenAlexW3139469061

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.