Evidence map›Paper›PMID 31211140›Full record

Trial reportBioMed research international2019

Single Nucleotide Polymorphisms of

Chao Tan, Chunhua Bei, Xiaonian Zhu, Ying Zhang, Linyuan Qin, Shengkui Tan

Open access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 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

6 authors at 1 institution in 1 country.

Chao TanDepartment of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004, China.
Chunhua BeiDepartment of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004, China.ORCID 0000-0001-7515-3464
Xiaonian ZhuDepartment of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004, China.
Ying ZhangDepartment of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004, China.
Linyuan QinDepartment of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004, China.
Shengkui TanDepartment of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin, Guangxi 541004, China.ORCID 0000-0002-1955-0868
Guilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe chromobox (CBX) proteins CBX2, CBX4, CBX6, CBX7, and CBX8, also known as Polycomb (Pc) proteins, are canonical components of the Polycomb repressive complex 1 (PRC1). Abundant evidence indicates that abnormal expression of Pc proteins is associated with a variety of tumors, but their role in the pathogenesis of hepatocellular carcinoma (HCC) has not been fully elucidated. In the present study, we performed a case-control study to investigate the relationship between single nucleotide polymorphisms (SNPs) of

methodsNine SNPs on

resultsThe results indicated that rs2289728 (G>A) of

conclusionOur findings suggest that

Indexed as

Gene Expression Regulation, NeoplasticPolymorphism, Single NucleotideAdultAllelesCarcinoma, HepatocellularFemaleHumansLigasesLiver NeoplasmsMaleMiddle AgedNeoplasm ProteinsPolycomb-Group ProteinsPolycomb Repressive Complex 1Risk FactorsCBX4 protein, humanCBX7 protein, humanLigasesNeoplasm ProteinsPolycomb-Group ProteinsPolycomb Repressive Complex 1

Identifiers

PMID31211140
PMCPMC6532305
OpenAlexW2944436240

What OpenQuestion holds

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LicenceCC BY
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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.