Evidence map›Paper›PMID 24297247›Full record

ArticleJournal of community genetics2014

Cancer risk communication, predictive testing and management in France, Germany, the Netherlands and the UK: general practitioners' and breast surgeons' current practice and preferred practice responsibilities.

Irmgard Nippert, Claire Julian-Reynier, Hilary Harris, Gareth Evans, Christi J van Asperen, Aad Tibben, Jörg Schmidtke

Open access · hybridAbstract read
In one paragraph

Article in Journal of community genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Genetic cancer risk assessment in general practice: systematic review of tools available, clinician attitudes, and patient outcomes.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Pooled it
  5. Article
  6. Review
  7. Review
  8. Article
  9. The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  10. Observational
  11. Article
  12. Article
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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

7 authors at 7 institutions in 4 countries.

Irmgard NippertWomen's Health Research Unit/Department of Human Genetics, Medical School, Westfaelische Wilhelms-University, Münster, Germany, nippert@uni-muenster.de.
Claire Julian-Reynier
Hilary Harris
Gareth Evans
Christi J van Asperen
Aad Tibben
Jörg Schmidtke
Aix-Marseille Université · FRLeiden University · NLLeiden University Medical Center · NLMedizinische Hochschule Hannover · DESt Mary's Hospital · GBUniversity of Manchester · GBUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing has its greatest public health value when it identifies individuals who will benefit from specific interventions based upon their risk. This paradigm is the basis for the use of predictive tests, such as BRCA1/BRCA2 testing which has become part of clinical practice for more than a decade. Currently predictive BRCA1/BRCA2 testing is offered to women using low, moderate and high risk based upon family history as cut-off levels. Non-genetic health professionals such as general practitioners (GPs) and breast surgeons (BS) are seen as gatekeepers to manage demand and/or facilitate access to appropriate services for high-risk patients. Data about current practices are lacking. The paper presents data on the current practice of GPs' and BS' cancer risk assessment, referral practices and preferred practice responsibilities for women at risk for familial breast cancer in France, Germany, the Netherlands and the UK derived by a self-administered questionnaire send to a representative sample of GPs and BS in the four countries. One thousand one hundred ninety-seven GPs and 1,223 BS completed the questionnaire. Both GPs and BS reported that they are consulted by a considerable number of patients presenting with concerns about a family history of cancer. Both commonalities and striking differences could be observed between GPs and BS from the four participating countries. GPs from France and Germany reported significantly higher proportions taking a family history of cancer including the extended family than GPs from the Netherlands and the UK. Most GPs from France, Germany and the Netherlands stated their willingness for providing risk assessment for an unaffected (high-risk) woman with a family history of breast cancer and the vast majority of BS from all four countries reported that they themselves would provide risk assessment for an unaffected (high-risk) woman with a family history of breast cancer. However, a substantial number of both GPs and BS would not have taken an appropriate family history for their patient failing to take into account the paternal side of the family. GPs from Germany reported a significantly lower readiness to refer a patient with a family history of a BRCA1 mutation for specialist genetic counselling when compared to the GPs from the other countries. GPs and BS from France, Germany and the Netherlands significantly less often assigned practice responsibilities to a genetic specialist as compared to the participating GPs and BS from the UK. The outcome of the study confirms the need for capability building in genetics for non-genetic health professionals. Using genetic risk assessment tools without a full understanding could result in missed opportunities for cancer prevention and harm patients. In order to provide best possible services for high-risk patients presenting with cancer concerns, close collaboration with clinical geneticists should become routine part of mainstream medical practice.

Identifiers

PMID24297247
PMCPMC3890062
OpenAlexW2056533328

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.