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Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back

2022-10-12Artigo científico Acesso aberto
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dc.contributor.authorPettini, Greta
dc.contributor.authorSanchini, Virginia
dc.contributor.authorPat-Horenczyk, Ruth
dc.contributor.authorSousa, Berta
dc.contributor.authorMasiero, Marianna
dc.contributor.authorMarzorati, Chiara
dc.contributor.authorGalimberti, Viviana Enrica
dc.contributor.authorMunzone, Elisabetta
dc.contributor.authorMattson, Johanna
dc.contributor.authorVehmanen, Leena
dc.contributor.authorUtriainen, Meri
dc.contributor.authorRoziner, Ilan
dc.contributor.authorLemos, Raquel
dc.contributor.authorFrasquilho, Diana
dc.contributor.authorCardoso, Fatima
dc.contributor.authorOliveira-Maia, Albino J
dc.contributor.authorOliveira-Maia, AJ
dc.contributor.authorKolokotroni, Eleni
dc.contributor.authorStamatakos, Georgios
dc.contributor.authorLeskelä, Riikka-Leena
dc.contributor.authorHaavisto, Ira
dc.contributor.authorSalonen, Juha
dc.contributor.authorRichter, Robert
dc.contributor.authorKarademas, Evangelos
dc.contributor.authorPoikonen-Saksela, Paula
dc.contributor.authorMazzocco, Ketti
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.pblJMIR Publications
dc.date.accessioned2022-11-04T22:11:16Z
dc.date.available2022-11-04T22:11:16Z
dc.date.issued2022-10-12
dc.descriptionFunding: This work has been funded by the European Commission and the Horizon 2020 framework.
dc.description.abstractBACKGROUND: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient's sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient's ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled "Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back" or, in short, BOUNCE. OBJECTIVE: The aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer. METHODS: A total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model. RESULTS: The recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022. CONCLUSIONS: This study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients' needs, supported by eHealth technologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT05095675; https://clinicaltrials.gov/ct2/show/NCT05095675. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34564.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent570570
dc.identifier.doi10.2196/34564
dc.identifier.issn1929-0748
dc.identifier.otherPURE: 47465865
dc.identifier.otherPURE UUID: db492546-eea4-49a2-97b7-7d81ad66c6d8
dc.identifier.otherPubMed: 36222801
dc.identifier.otherScopus: 85142336864
dc.identifier.urihttp://hdl.handle.net/10362/145249
dc.language.isoeng
dc.peerreviewedyes
dc.subjectSDG 3 - Good Health and Well-being
dc.titlePredicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Backen
dc.title.subtitleProtocol for a Multicenter Clinical Pilot Studyen
dc.typejournal article
degois.publication.issue10
degois.publication.titleJMIR Research Protocols
degois.publication.volume11
dspace.entity.typePublication
person.familyNameOliveira-Maia
person.givenNameAlbino Jorge
person.identifier.ciencia-idED15-6691-FEC7
person.identifier.orcid0000-0001-5071-3007
person.identifier.ridB-7976-2009
person.identifier.scopus-author-id14060820700
rcaap.rightsopenAccess
relation.isAuthorOfPublication402bb6ca-e5db-422a-9d43-a807d4076d38
relation.isAuthorOfPublication.latestForDiscovery402bb6ca-e5db-422a-9d43-a807d4076d38

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