Evidence map›Paper›PMID 16736286›Full record

ArticleFamilial cancer2006

Determinants of preferences for genetic counselling in Jewish women.

Carmel Apicella, Stuart J Peacock, Lesley Andrews, Katherine Tucker, Agnes Bankier, Mary B Daly, John L Hopper

Abstract read
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Article in Familial cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Carmel ApicellaCentre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, Melbourne, Australia.
Stuart J Peacock
Lesley Andrews
Katherine Tucker
Agnes Bankier
Mary B Daly
John L Hopper

Funding

THE AUSTRALIAN BREAST CANCER FAMILY REGISTRYU01CA069638 · NCI · UNIVERSITY OF MELBOURNE · PI HOPPER, JOHN L · 1995 to 2010
$6.6M
NCI NIH HHS CA69638
6 · The paper itself

Abstract

introductionPatient preferences are central to the economic appraisal of health services. Cancer genetic services are relatively new, and little is known about clients' preferences. We sought to determine clients' preferences for genetic service delivery, and to identify factors that predict those preferences.

methodsWe studied female participants in the Australian Jewish Breast Cancer Study who were offered a test for ancestral mutations in the BRCA1 and BRCA2 genes. Questionnaires, asking respondents to rank their preferences for functions, or attributes, of genetic counselling were received from 256 women (76% response rate).

resultsSixty-two per cent of the respondents gave their highest preference for information on cancer and genetic risk; 19% gave it to breast and ovarian cancer surveillance; 14% gave it to preparation for testing; and, 5% gave it to direction with decision making. Most ranked direction as their least preferred attribute (53%). Women with a strong cancer family history were less likely to give highest preference to information (52%) and more likely to give highest preference to preparation for testing (22%) (P=0.04; 0.01, respectively). Women with a university degree were less likely to give highest preference to surveillance (15%) (P=0.04).

conclusionMost women offered testing had highest preference for information and lowest preference for direction. We have identified factors that predict highest preference for information, preparation, and surveillance attributes. Understanding preferences and their predictors may assist cancer genetic services to provide clients with greater benefits from counselling.

Indexed as

Genes, BRCA1Genes, BRCA2Genetic CounselingPatient SatisfactionAdultAgedBreast NeoplasmsFemaleHumansLogistic ModelsMiddle Aged

Identifiers

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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.