Evidence map›Paper›PMID 30251169›Full record

ArticleFamilial cancer2019

Electronically ascertained extended pedigrees in breast cancer genetic counseling.

V Stefansdottir, H Skirton, O Th Johannsson, H Olafsdottir, G H Olafsdottir, L Tryggvadottir, J J Jonsson

Abstract read
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Article in Familial cancer, 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
–field-weighted citation impact
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.

  1. PREDICTION OF HEREDITARY CANCERS USING NEURAL NETWORKS.The annals of applied statistics · 2022
    Article
  2. 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

7 authors.

V StefansdottirDepartment of Genetics and Molecular Medicine, Landspitali - National University Hospital, Hringbraut, 101, Reykjavik, Iceland.
H SkirtonFaculty of Health and Human Sciences, Plymouth University, Plymouth, UK.
O Th JohannssonDepartment Of Medical Oncology, Landspitali - National University Hospital, Reykjavik, Iceland.
H OlafsdottirDepartment of Genetics and Molecular Medicine, Landspitali - National University Hospital, Hringbraut, 101, Reykjavik, Iceland.
G H OlafsdottirIcelandic Cancer Registry, Icelandic Cancer Society, Reykjavik, Iceland.
L TryggvadottirIcelandic Cancer Registry, Icelandic Cancer Society, Reykjavik, Iceland.
J J JonssonDepartment of Genetics and Molecular Medicine, Landspitali - National University Hospital, Hringbraut, 101, Reykjavik, Iceland. jonjj@hi.is.ORCID http://orcid.org/0000-0001-5084-8374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive pedigree, usually provided by the counselee and verified by medical records, is essential for risk assessment in cancer genetic counseling. Collecting the relevant information is time-consuming and sometimes impossible. We studied the use of electronically ascertained pedigrees (EGP). The study group comprised women (n = 1352) receiving HBOC genetic counseling between December 2006 and December 2016 at Landspitali in Iceland. EGP's were ascertained using information from the population-based Genealogy Database and Icelandic Cancer Registry. The likelihood of being positive for the Icelandic founder BRCA2 pathogenic variant NM_000059.3:c.767_771delCAAAT was calculated using the risk assessment program Boadicea. We used this unique data to estimate the optimal size of pedigrees, e.g., those that best balance the accuracy of risk assessment using Boadicea and cost of ascertainment. Sub-groups of randomly selected 104 positive and 105 negative women for the founder BRCA2 PV were formed and Receiver Operating Characteristics curves compared for efficiency of PV prediction with a Boadicea score. The optimal pedigree size included 3° relatives or up to five generations with an average no. of 53.8 individuals (range 9-220) (AUC 0.801). Adding 4° relatives did not improve the outcome. Pedigrees including 3° relatives are difficult and sometimes impossible to generate with conventional methods. Pedigrees ascertained with data from pre-existing genealogy databases and cancer registries can save effort and contain more information than traditional pedigrees. Genetic services should consider generating EGP's which requires access to an accurate genealogy database and cancer registry. Local data protection laws and regulations have to be addressed.

Indexed as

PedigreeBRCA2 ProteinBreast NeoplasmsDatabases, GeneticFemaleGenetic CounselingGenetic Predisposition to DiseaseHumansIcelandIncidenceMedical History TakingRegistriesBRCA2 ProteinBRCA2 protein, humanBRCA2Breast cancerCancer genetic counselingElectronically generated pedigreesGenealogy database

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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.