Evidence map›Paper›PMID 30709872›Full record

ArticleCancer research2019

A Dynamic

Jiyeon Choi, Kevin M Brown

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jiyeon ChoiLaboratory of Translational Genomics, Division of Cancer Epidemiology & Genetics, NCI, Bethesda, Maryland.
Kevin M BrownLaboratory of Translational Genomics, Division of Cancer Epidemiology & Genetics, NCI, Bethesda, Maryland. kevin.brown3@nih.gov.
Cancer Genetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts from the past decade in genomic analyses improved our understanding of genetic susceptibility to epithelial ovarian cancer (EOC). While genome-wide association studies (GWAS) have successfully identified approximately 40 genomic loci contributing to risk, a functional understanding of the molecular mechanisms underlying all but a few of these loci is lacking. The work by Buckley and colleagues has comprehensively characterized an EOC locus on chromosome band 9p22.2, identifying

Indexed as

Carcinoma, Ovarian EpithelialOvarian NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID30709872
OpenAlexW2914325120

What OpenQuestion holds

Textmetadata
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.