Evidence map›Paper›PMID 34152085›Full record

ArticleCancer medicine2021

Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision-making.

George D Farmer, Mike Pearson, William J Skylark, Alexandra L J Freeman, David J Spiegelhalter

Abstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

5 authors.

George D FarmerWinton Centre for Risk and Evidence Communication, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2882-0310
Mike PearsonWinton Centre for Risk and Evidence Communication, University of Cambridge, Cambridge, UK.ORCID 0000-0002-8161-2660
William J SkylarkDepartment of Psychology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-3375-2669
Alexandra L J FreemanWinton Centre for Risk and Evidence Communication, University of Cambridge, Cambridge, UK.ORCID 0000-0002-4115-161X
David J SpiegelhalterWinton Centre for Risk and Evidence Communication, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9350-6745

Funding

David and Claudia Harding FoundationWellcome ISSF 204796/Z/16/ZWellcome Trust
6 · The paper itself

Abstract

objectivesTo develop a new interface for the widely used prognostic breast cancer tool: Predict: Breast Cancer. To facilitate decision-making around post-surgery breast cancer treatments. To derive recommendations for communicating the outputs of prognostic models to patients and their clinicians.

methodWe employed a user-centred design process comprised of background research and iterative testing of prototypes with clinicians and patients. Methods included surveys, focus groups and usability testing.

resultsThe updated interface now caters to the needs of a wider audience through the addition of new visualisations, instantaneous updating of results, enhanced explanatory information and the addition of new predictors and outputs. A programme of future research was identified and is now underway, including the provision of quantitative data on the adverse effects of adjuvant breast cancer treatments. Based on our user-centred design process, we identify six recommendations for communicating the outputs of prognostic models including the need to contextualise statistics, identify and address gaps in knowledge, and the critical importance of engaging with prospective users when designing communications.

conclusionsFor prognostic algorithms to fulfil their potential to assist with decision-making they need carefully designed interfaces. User-centred design puts patients and clinicians needs at the forefront, allowing them to derive the maximum benefit from prognostic models.

Indexed as

Clinical Decision-MakingInternet-Based InterventionPostoperative CareUser-Computer InterfaceAdultBreast NeoplasmsComputer GraphicsDisease ManagementFemaleFocus GroupsHumansPrognosisRisk AssessmentSurveys and QuestionnairesUser-Centered Designbreast cancercancer managementprognosisrisk assessmenttranslational research

Identifiers

PMID34152085
PMCPMC8335820

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LicenceCC BY
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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.