Evidence map›Paper›PMID 30662901›Full record

ArticleBioMed research international2018

Single Nucleotide Polymorphisms in

Chunhua Bei, Shun Liu, Xiangyuan Yu, Moqin Qiu, Bo Tang, Weijia Liao, Songqing He, Hongping Yu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2018. 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
0.8field-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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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 at 2 institutions in 1 country.

Chunhua Bei *Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, 109 Huancheng North Road 2, Guilin 541004, China.ORCID 0000-0001-7515-3464
Shun Liu *Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, China.
Xiangyuan YuDepartment of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, 109 Huancheng North Road 2, Guilin 541004, China.
Moqin QiuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, China.
Bo TangDepartment of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
Weijia LiaoLaboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, 15 Lequn Road, Guilin 541001, China.
Songqing HeDepartment of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.ORCID 0000-0002-8966-2195
Hongping YuDepartment of Research, Affiliated Cancer Hospital of Guangxi Medical University, 71 Heti Road, Nanning 530021, China.ORCID 0000-0001-9668-5929
Guangxi Medical University · CNGuilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) in microRNA may affect its expression and regulation of target genes, which may consequently alter individual susceptibility to cancer. In this study we aimed to investigate associations between

Indexed as

Asian PeopleCarcinoma, HepatocellularCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedPolymorphism, Single NucleotideRiskMicroRNAsMIRN122 microRNA, human

Identifiers

PMID30662901
PMCPMC6313975
OpenAlexW2905397042

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.