Evidence map›Paper›PMID 36374536›Full record

ArticleJMIR cancer2022

Supporting Shared Decision-making About Surveillance After Breast Cancer With Personalized Recurrence Risk Calculations: Development of a Patient Decision Aid Using the International Patient Decision AIDS Standards Development Process in Combination With a Mixed Methods Design.

Jet Wies Ankersmid, Sabine Siesling, Luc J A Strobbe, Johanna M Meulepas, Yvonne E A van Riet, Noel Engels, Janine C M Prick, Regina The, Asako Takahashi, Mirjam Velting and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. The effectiveness of personalised surveillance and aftercare in breast cancer follow-up: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
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  3. Developing and Assessing the Acceptability of an Information Booklet for Patients in Surveillance for Abdominal Aortic Aneurysms: An Intervention Development Study.Health expectations : an international journal of public participation in health care and health policy · 2026
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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 9 institutions in 1 country.

Jet Wies AnkersmidDepartment of Health Technology and Services Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-4562-8147
Sabine SieslingDepartment of Health Technology and Services Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-0273-824X
Luc J A StrobbeDepartment of Surgery, Canisius Wilhelmina Hospital, Nijmegen, Netherlands.ORCID https://orcid.org/0000-0002-3840-3003
Johanna M MeulepasDepartment of Quality and Safety, Catharina Hospital, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-2165-6039
Yvonne E A van RietDepartment of Surgery, Catharina Hospital, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-4465-5768
Noel EngelsSanteon, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-5101-554X
Janine C M PrickSanteon, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-0859-4793
Regina TheZorgKeuzeLab, Delft, Netherlands.ORCID https://orcid.org/0000-0002-4258-3983
Asako TakahashiZorgKeuzeLab, Delft, Netherlands.ORCID https://orcid.org/0000-0002-1655-6850
Mirjam VeltingDutch Breast Cancer Society, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-9134-7004
Cornelia F van Uden-KraanSanteon, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-3898-416X
Constance H C DrossaertDepartment of Psychology, Health & Technology, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-7083-3169
Radboud University Nijmegen · NLSanteon (Netherlands) · NLZorgKeuzeLab · NLCanisius-Wilhelmina Ziekenhuis · NLDutch Cancer Society · NLLeiden University Medical Center · NLNetherlands Comprehensive Cancer Organisation · NLOLVG · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the treatment for breast cancer is highly personalized, posttreatment surveillance remains one-size-fits-all: annual imaging and physical examination for at least five years after treatment. The INFLUENCE nomogram is a prognostic model for estimating the 5-year risk for locoregional recurrences and second primary tumors after breast cancer. The use of personalized outcome data (such as risks for recurrences) can enrich the process of shared decision-making (SDM) for personalized surveillance after breast cancer.

objectiveThis study aimed to develop a patient decision aid (PtDA), integrating personalized risk calculations on risks for recurrences, to support SDM for personalized surveillance after curative treatment for invasive breast cancer.

methodsFor the development of the PtDA, the International Patient Decision Aids Standards development process was combined with a mixed methods design inspired by the development process of previously developed PtDAs. In the development, 8 steps were distinguished: establishing a multidisciplinary steering group; definition of the end users, scope, and purpose of the PtDA; assessment of the decisional needs of end users; defining requirements for the PtDA; determining the format and implementation strategy for the PtDA; prototyping; alpha testing; and beta testing. The composed steering group convened during regular working-group sessions throughout the development process.

resultsThe "Breast Cancer Surveillance Decision Aid" consists of 3 components that support the SDM process: a handout sheet on which personalized risks for recurrences, calculated using the INFLUENCE-nomogram, can be visualized and which contains an explanation about the decision for surveillance and a login code for a web-based deliberation tool; a web-based deliberation tool, including a patient-reported outcome measure on fear of cancer recurrence; and a summary sheet summarizing patient preferences and considerations. The PtDA was assessed as usable and acceptable during alpha testing. Beta testing is currently ongoing.

conclusionsWe developed an acceptable and usable PtDA that integrates personalized risk calculations for the risk for recurrences to support SDM for surveillance after breast cancer. The implementation and effects of the use of the "Breast Cancer Surveillance Decision Aid" are being investigated in a clinical trial.

Indexed as

breast cancerpatient decision aidPtDArisk informationSDMshared decision-makingsurveillance

Identifiers

PMID36374536
PMCPMC9706380
OpenAlexW4296168609

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.