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dc.contributor.authorMartínez-Jaimez, Patricia
dc.contributor.authorArmora Verdú, Miriam
dc.contributor.authorGarcia Forero, Carlos
dc.contributor.authorÁlvarez Salazar, Samantha
dc.contributor.authorFuster-Linares, Pilar
dc.contributor.authorMonforte-Royo, Cristina
dc.contributor.authorMasia, Jaume
dc.date.accessioned2024-03-11T15:07:19Z
dc.date.available2024-03-11T15:07:19Z
dc.date.issued2021
dc.identifier.citationMartínez-Jaimez, Patricia; Armora Verdú, Miriam; Garcia Forero, Carlos [et al]. Breast cancer-related lymphoedema: risk factors and prediction model. Journal of Advanced Nursing, 2021, 78(3), p. 765-775. Disponible en: <https://onlinelibrary.wiley.com/doi/10.1111/jan.15005>. Fecha de acceso: 11 mar. 2024. DOI: 10.1111/jan.15005ca
dc.identifier.issn0309-2402ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/4143
dc.description.abstractAims: To identify the risk factors for lymphoedema following axillary lymph node dissection (ALND) in a European sample and to propose a lymphoedema prediction model for this population. Design: Predictive retrospective cohort study comparing women who developed lymphoedema in 2 years of undergoing ALND with those who did not developed lymphoedema. Methods: We reviewed the clinical records of 504 women who, between January 2008 and May 2018, underwent surgery for breast cancer that involved ALND. Logistic regression was used to identify significant risk factors for lymphoedema. The prediction accuracy of the model was assessed by calculating the area under the receiver operating characteristic curve. Results: Of the 504 women whose records were analysed, 156 developed lymphoedema. Significant predictors identified in the regression model were level of lymph node dissection, lymph node status, post-operative complications, body mass index (BMI) and number of lymph nodes extracted. The prediction model showed good sensitivity (80%) in the study population. Conclusions: The factor contributing most to the risk of lymphoedema was the level of lymph node dissection, and the only patient-related factor in the prediction model was BMI. The model offers good predictive capacity in this population and it is a simple tool that breast care units could use to assess the risk of lymphoedema following ALND. Nurses with specialist knowledge of lymphoedema have a key role to play in ensuring that women receive holistic and individualized care. Impact: What problem did the study address? Secondary lymphoedema is one of the main complications in the treatment of breast cancer. What were the main findings? The prediction model included five factors associated with the risk of lymphoedema following ALND. The strongest predictor was the level of lymph node dissection, and the only patient-related factor was BMI. Where and on whom will the research have an impact? The prediction model offers breast care units a tool for assessing the risk of lymphoedema in women undergoing surgery involving ALND. The results highlight the importance of weight reduction as a preventive measure and support a more conservative surgical approach.ca
dc.format.extent10ca
dc.language.isoengca
dc.publisherWileyca
dc.relation.ispartofJournal of Advanced Nursingca
dc.relation.ispartofseries78;3
dc.rights© 2021 John Wiley & Sons Ltd.ca
dc.subject.otherDissecció de ganglis limfàtics axil·larsca
dc.subject.otherCàncer de mamaca
dc.subject.otherLimfedema relacionat amb el càncer de mamaca
dc.subject.otherInfermeresca
dc.subject.otherInfermeriaca
dc.subject.otherModel de prediccióca
dc.subject.otherEstudi predictiuca
dc.subject.otherFactors de riscca
dc.subject.otherCorba ROCca
dc.subject.otherLimfedema secundarica
dc.subject.otherDisección ganglionar axilarca
dc.subject.otherCáncer de mamaca
dc.subject.otherLinfedema relacionado con cáncer de mamaca
dc.subject.otherEnfermerasca
dc.subject.otherEnfermeríaca
dc.subject.otherModelo de predicciónca
dc.subject.otherModelo de predicciónca
dc.subject.otherFactores de riesgoca
dc.subject.otherCurva ROCca
dc.subject.otherLinfedema secundarioca
dc.subject.otherAxillary lymph node dissectionca
dc.subject.otherBreast cancerca
dc.subject.otherBreast cancer-related lymphoedemaca
dc.subject.otherNursesca
dc.subject.otherNursingca
dc.subject.otherPrediction modelca
dc.subject.otherPredictive studyca
dc.subject.otherRisk factorsca
dc.subject.otherROC curveca
dc.subject.otherSecondary lymphoedemaca
dc.titleBreast cancer-related lymphoedema: risk factors and prediction modelca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc616ca
dc.identifier.doihttps://dx.doi.org/10.1111/jan.15005ca


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