{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T21:04:21Z","timestamp":1790024661616,"version":"4.0.1"},"reference-count":70,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T00:00:00Z","timestamp":1628294400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Advanced Nursing"],"published-print":{"date-parts":[[2022,3]]},"abstract":"<jats:title>\n                    <jats:sc>A<\/jats:sc>\n                    bstract\n                  <\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Predictive retrospective cohort study comparing women who developed lymphoedema in 2\u00a0years of undergoing ALND with those who did not developed lymphoedema.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>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\u2010operative complications, body mass index (BMI) and number of lymph nodes extracted. The prediction model showed good sensitivity (80%) in the study population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The factor contributing most to the risk of lymphoedema was the level of lymph node dissection, and the only patient\u2010related 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Impact<\/jats:title>\n                    <jats:p>\n                      <jats:italic>What problem did the study address?<\/jats:italic>\n                      Secondary lymphoedema is one of the main complications in the treatment of breast cancer.\n                      <jats:italic>What were the main findings?<\/jats:italic>\n                      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\u2010related factor was BMI.\n                      <jats:italic>Where and on whom will the research have an impact?<\/jats:italic>\n                      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.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jan.15005","type":"journal-article","created":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T11:32:21Z","timestamp":1628335941000},"page":"765-775","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Breast cancer\u2010related lymphoedema: Risk factors and prediction model"],"prefix":"10.1111","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8960-5596","authenticated-orcid":false,"given":"Patricia","family":"Mart\u00ednez\u2010Jaimez","sequence":"first","affiliation":[{"name":"Breast Reconstruction and Lymphoedema Surgery Unit Cl\u00ednica Planas  Barcelona Spain"},{"name":"Nursing Department. 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