Evidence map›Paper›PMID 18560993›Full record

ArticleFamilial cancer2008

Predicting breast cancer risk: implications of a "weak" family history.

Elaine Anderson, Jonathan Berg, Roger Black, Nicola Bradshaw, Joyce Campbell, Roseanne Cetnarskyj, Sarah Drummond, Rosemarie Davidson, Jacqueline Dunlop, Alison Fordyce and 22 more

Abstract read
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In one paragraph

Article in Familial cancer, 2008. 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. 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

32 authors.

Elaine AndersonBreast Surgery Unit, Western General Hospital, Edinburgh, EH4 2XU, UK.
Jonathan Berg
Roger Black
Nicola Bradshaw
Joyce Campbell
Roseanne Cetnarskyj
Sarah Drummond
Rosemarie Davidson
Jacqueline Dunlop
Alison Fordyce
Barbara Gibbons
David Goudie
Helen Gregory
Kirstie Hanning
Susan Holloway
Mark Longmuir
Lorna McLeish
Vicky Murday
Zosia Miedzybrodska
Donna Nicholson
Pauline Pearson
Mary Porteous
Marta Reis
Sheila Slater
Karen Smith
Elizabeth Smyth
Lesley Snadden
Michael Steel
Diane Stirling
Cathy Watt
Catriona Whyte
Dorothy Young

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Published guidelines adopted in many countries recommend that women whose family history of breast cancer places them at a risk>or=1.7 times that of the age-matched general population, should be considered for inclusion in special surveillance programmes. However validation of risk assessment models has been called for as a matter of urgency. The databases of the four Scottish Familial Breast Cancer clinics and the Scottish Cancer Registry have been searched to identify breast cancers occurring among 1,125 women aged 40-56, with family histories placing them below the "moderate" level of genetic risk. The observed incidence over 6 years was compared with age-specific data for the Scottish population. Our findings confirm that when there are two affected relatives (one first degree) the relative risk (RR) exceeds 1.7 regardless of their ages at diagnosis. When only one (first degree) relative was affected at any age from 40 to 55, the RR does not reach 1.7 if that relative was a mother but exceeds it if the relative was a sister. The probable explanation is that sisters are more likely than mother/daughter pairs to share homozygosity for a risk allele. Surveillance programmes might therefore accommodate sisters of women affected before age 55. Evidence that "low penetrance" alleles contributing to breast cancer risk may be recessive should be taken into account in strategies for identifying them.

Indexed as

Genetic Predisposition to DiseaseAdultBreast NeoplasmsCohort StudiesFamily HealthFemaleHumansMiddle AgedRisk AssessmentSiblings

Identifiers

What OpenQuestion holds

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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.