Temporal validation of a risk prediction model for breast cancer‐related lymphoedema in European population: A retrospective study

Journal of Advanced Nursing(2023)

引用 0|浏览0
暂无评分
摘要
AbstractAimsTo perform temporal validation of a risk prediction model for breast cancer‐related lymphoedema in the European population.DesignTemporal validation of a previously developed prediction model using a new retrospective cohort of women who had undergone axillary lymph node dissection between June 2018 and June 2020.MethodsWe reviewed clinical records to identify women who did and did not develop lymphoedema within 2 years of surgery and to gather data regarding the variables included in the prediction model. The model was calibrated by calculating Spearman's correlation between observed and expected cases. Its accuracy in discriminating between patients who did versus did not develop lymphoedema was assessed by calculating the area under the receiver operating characteristic curve (AUC).ResultsThe validation cohort comprised 154 women, 41 of whom developed lymphoedema within 2 years of surgery. The value of Spearman's coefficient indicated a strong correlation between observed and expected cases. Sensitivity of the model was higher than in the derivation cohort, as was the value of the AUC.ConclusionThe model shows a good capacity to discriminate women at risk of lymphoedema and may therefore help in developing improved care pathways for individual patients.Implications for the Profession and/or Patient CareIdentifying risk factors for lymphoedema secondary to breast cancer treatment is vital given its impact on women's physical and emotional well‐being.ImpactWhat problem did the study address? Risk of BCRL. What were the main findings? The prediction model has a good capacity to discriminate women at risk of lymphoedema. Where and on whom will the research have an impact? In clinical practice with women at risk of BCRL.Reporting MethodSTROBE checklist.What Does this Paper Contribute to the Wider Global Clinical Community?It presents a validated risk prediction model for BCRL.No Patient or Public ContributionThere was no patient or public contribution in the conduct of this study.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要