Evidence map›Paper›PMID 10875832›Full record

ArticleBMJ (Clinical research ed.)2000

Computer support for interpreting family histories of breast and ovarian cancer in primary care: comparative study with simulated cases.

J Emery, R Walton, M Murphy, J Austoker, P Yudkin, C Chapman, A Coulson, D Glasspool, J Fox

Abstract readComparative Study
In one paragraph

Article in BMJ (Clinical research ed.), 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
–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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. 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
  2. Guideline
  3. Clinical decision support for genetically guided personalized medicine: a systematic review.Journal of the American Medical Informatics Association : JAMIA
    Pooled it
  4. Pooled it
  5. Effectiveness of oncogenetics training on general practitioners' consultation skills: a randomized controlled trial.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
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  15. Delivering pharmacogenetic testing in a primary care setting.Pharmacogenomics and personalized medicine · 2013
    Article
  16. Patient interest in recording family histories of cancer via the Internet.Genetics in medicine : official journal of the American College of Medical Genetics · 2008
    Article
  17. Article
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  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

J EmeryICRF General Practice Research Group, Division of Public Health and Primary Health Care, Institute of Health Sciences, University of Oxford, Oxford OX3 7LF. jon.emery@dphpc.ox.ac.uk
R Walton
M Murphy
J Austoker
P Yudkin
C Chapman
A Coulson
D Glasspool
J Fox

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the potential effect of computer support on general practitioners' management of familial breast and ovarian cancer, and to compare the effectiveness of two different types of computer program.

designCrossover experiment with balanced block design.

participantsOf a random sample of 100 general practitioners from Buckinghamshire who were invited, 41 agreed to participate. From these, 36 were selected for a fully balanced study.

interventionsDoctors managed 18 simulated cases: 6 with computerised decision support system Risk Assessment in Genetics (RAGs), 6 with Cyrillic (an established pedigree drawing program designed for clinical geneticists), and 6 with pen and paper.

main outcome measuresNumber of appropriate management decisions made (maximum 6), mean time taken to reach a decision, number of pedigrees accurately drawn (maximum 6). Secondary measures were method of support preferred for particular aspects of managing family histories of cancer; importance of specific information on cancer genetics that might be provided by an "ideal computer program."

resultsRAGs resulted in significantly more appropriate management decisions (median 6) than either Cyrillic (median 3) or pen and paper (median 3); median difference between RAGs and Cyrillic 2.5 (95% confidence interval 2.0 to 3.0; P<0.0001). RAGs also resulted in significantly more accurate pedigrees (median 5) than both Cyrillic (median 3.5) and pen and paper (median 2); median difference between RAGs and Cyrillic 1.5 (1.0 to 2.0; P<0.0001). The time taken to use RAGs (median 178 seconds) was 51 seconds longer per case (95% confidence interval 36 to 65; P<0.0001) than pen and paper (median 124 seconds) but was less than Cyrillic (median 203 seconds; difference 23. (5 to 43; P=0.02)). 33 doctors (92% (78% to 98%)) preferred using RAGs overall. The most important elements of an "ideal computer program" for genetic advice in primary care were referral advice, the capacity to create pedigrees, and provision of evidence and explanations to support advice.

conclusionsRAGs could enable general practitioners to be more effective gatekeepers to genetics services, empowering them to reassure the majority of patients with a family history of breast and ovarian cancer who are not at increased genetic risk.

Indexed as

Decision Making, Computer-AssistedBreast NeoplasmsCross-Over StudiesFamily PracticeFemaleHumansMaleOvarian NeoplasmsPatient SimulationPedigreePilot ProjectsPrognosis

Identifiers

PMID10875832
PMCPMC27423

What OpenQuestion holds

Textmetadata
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.