Evidence map›Paper›PMID 32298961›Full record

Trial reportBreast (Edinburgh, Scotland)2020

Risk communication in a patient decision aid for radiotherapy in breast cancer: How to deal with uncertainty?

D B Raphael, N S Russell, J M Immink, P G Westhoff, M C Stenfert Kroese, M R Stam, L M van Maurik, H J G D van den Bongard, J H Maduro, M G A Sattler and 2 more

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03375801 (Implementing a Decision Aid for Breast Cancer and DCIS Patients Deciding on Their Radiation Treatment), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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.

NCT03375801 nacompletednot on this map

Implementing a Decision Aid for Breast Cancer and DCIS Patients Deciding on Their Radiation Treatment: A Pre- and Post-intervention Study.

TypeinterventionalSponsorMaastricht UniversityRan2017 to 2020Enrolled403ConditionsBreast CancerArmsDecision Aid
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Effects of music-based interventions on cancer-related pain, fatigue, and distress: an overview of systematic reviews.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Pooled it
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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

12 authors at 11 institutions in 1 country.

D B RaphaelDepartment of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands; Department of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands; Department of Radiation Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, the Netherlands. Electronic address: d.raphael@nki.nl.
N S RussellDepartment of Radiation Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, the Netherlands. Electronic address: n.russell@nki.nl.
J M ImminkDepartment of Radiation Oncology, Reinier de Graaf Hospital, Delft, the Netherlands; Department of Radiation Oncology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: M.Immink@rdgg.nl.
P G WesthoffDepartment of Radiation Oncology, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address: Paulien.Westhoff@radboudumc.nl.
M C Stenfert KroeseRadiotherapy Group, Deventer, the Netherlands. Electronic address: M.StenfertKroese@radiotherapiegroep.nl.
M R StamRadiotherapy Group, Arnhem, the Netherlands. Electronic address: M.Stam@radiotherapiegroep.nl.
L M van MaurikDepartment of Radiation Oncology, Amsterdam University Medical Centers, the Netherlands. Electronic address: l.m.vanmaurik@amsterdamumc.nl.
H J G D van den BongardDepartment of Radiation Oncology, University Medical Center, Utrecht, the Netherlands. Electronic address: h.j.vandenbongard@amsterdamumc.nl.
J H MaduroDepartment of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address: j.h.maduro@umcg.nl.
M G A SattlerDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands. Electronic address: m.sattler@erasmusmc.nl.
T van der WeijdenDepartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands. Electronic address: trudy.vanderweijden@maastrichtuniversity.nl.
L J BoersmaDepartment of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands. Electronic address: liesbeth.boersma@maastro.nl.
Radiotherapie Groep · NLAmsterdam University Medical Centers · NLErasmus MC Cancer Institute · NLMaastricht University · NLMaastricht University Medical Centre · NLMaastro Clinic · NLRadboud University Nijmegen · NLReinier de Graaf Hospital · NLThe Netherlands Cancer Institute · NLUniversity Medical Center Groningen · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimPatient decision aids for oncological treatment options, provide information on the effect on recurrence rates and/or survival benefit, and on side-effects and/or burden of different treatment options. However, often uncertainty exists around the probability estimates for recurrence/survival and side-effects which is too relevant to be ignored. Evidence is lacking on the best way to communicate these uncertainties. The aim of this study is to develop a method to incorporate uncertainties in a patient decision aid for breast cancer patients to support their decision on radiotherapy.

methodsFirstly, qualitative interviews were held with patients and health care professionals. Secondly, in the development phase, thinking aloud sessions were organized with four patients and 12 health care professionals, individual and group-wise.

resultsConsensus was reached on a pictograph illustrating the whole range of uncertainty for local recurrence risks, in combination with textual explanation that a more exact personalized risk would be given by their own physician. The pictograph consisted of 100 female icons in a 10 x 10 array. Icons with a stepwise gradient color indicated the uncertainty margin. The prevalence and severity of possible side-effects were explained using verbal labels.

conclusionsWe developed a novel way of visualizing uncertainties in recurrence rates in a patient decision aid. The effect of this way of communicating risk uncertainty is currently being tested in the BRASA study (NCT03375801).

Indexed as

Data VisualizationDecision MakingDecision Support TechniquesBreast NeoplasmsCommunicationFemaleHealth PersonnelHumansPatient ParticipationRiskUncertaintyDecision aidNumerical uncertaintyRadiotherapyRisk communication

Identifiers

PMID32298961
PMCPMC7375609
OpenAlexW3015690035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.