Improving outcomes in malignant pleural mesothelioma in an integrated health care system

JOURNAL OF THORACIC ONCOLOGY(2022)

引用 1|浏览0
暂无评分
摘要
Background: Malignant pleural mesothelioma (MPM) is a rare and aggressive tumor that should be managed by an experienced surgical and multidisciplinary group. Our objective was to determine the impact of proficient surgeons and MPM bi-disciplinary review on outcomes of patients with MPM.Methods: Through this cohort study, electronic medical records of 368 adult patients with MPM from 1/1/2009 to 12/31/2020 were reviewed and compared before and after MPM surgeries were regionalized to specialized surgeons and bi-disciplinary review of MPM patient treatment options. We used the Kaplan-Meier method and log-rank tests to compare survival rates by period, by treatment type, and by stage. Patients were followed from cancer diagnosis date until they died or end of study follow-up, whichever occurred first. We also conducted Cox proportional hazards regression model to examine the overall survival (OS) with adjustments for age, histology, stage, and Charlson comorbidity index (CCI).Results: Despite similar staging, more patients received any MPM directed treatment from 2015-2020 compared with those patients from 2009-2014. Specifically, there was an increase in patients who received pleurectomy/decortication (PD) from 2015-2020 compared to those who received PD in 2009-2014. Patients with similar age, CCI, stage, and histology had an increase in OS of 12 months with multimodality therapy (surgery, systemic therapy, +/- radiation) compared to those patients who received no treatment.Conclusions: Consolidating mesothelioma surgery to a specialized surgical team and regular bi-disciplinary review of MPM cases to determine appropriate multimodality therapy, increases the incorporation of surgical treatments in the management of patients with MPM.
更多
查看译文
关键词
Malignant pleural mesothelioma (MPM),multimodality therapy,pleurectomy,decortication (PD),regionalization,overall survival (OS)
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