Evidence map›Paper›PMID 31312277›Full record

ArticleHereditary cancer in clinical practice2019

Allelic variants of breast cancer susceptibility genes

Philip Hilz, Reicela Heinrihsone, Lukas Alexander Pätzold, Qi Qi, Genadijs Trofimovics, Linda Gailite, Arvids Irmejs, Janis Gardovskis, Edvins Miklasevics, Zanda Daneberga

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

Article in Hereditary cancer in clinical practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 3 countries.

Philip Hilz1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Reicela Heinrihsone1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Lukas Alexander Pätzold1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Qi Qi2Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032 People's Republic of China.
Genadijs Trofimovics3Department of Surgery, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Linda Gailite4Scientific Laboratory of Molecular Genetics, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Arvids Irmejs1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Janis Gardovskis1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Edvins Miklasevics1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.
Zanda Daneberga1Institute of Oncology, Riga Stradins University, Dzirciema street 16, Riga, LV-1007 Latvia.ORCID 0000-0003-0887-2973
Riga Stradiņš University · LVFudan University Shanghai Cancer Center · CNLockheed Martin (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge-scale case control studies revealed a number of moderate risk - low frequency breast cancer alleles of the

methodsThe case-control study was performed based on an unselected breast cancer case group of 2480 women and a control group, including 1240 voluntary, to our knowledge unrelated, female donors without reported oncological disease.

resultsThe calculated frequency for c.509_510delGA of the

conclusionResults obtained for the

Indexed as

Breast cancerLow frequency alleleModerate risk allelePALB2RECQL

Identifiers

PMID31312277
PMCPMC6610821
OpenAlexW2955372815

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.