Sau Sourav, Chatterjee Shibram, Saha Indranil, Sau Saikat, Roy Amitava
Department of Radiotherapy, Burdwan Medical College and Hospital, Burdwan, India.
Department of Obstetrics and Gynaecology, Burdwan Medical College and Hospital, Burdwan, India.
Indian J Palliat Care. 2013 Sep;19(3):186-91. doi: 10.4103/0973-1075.121540.
Cancer specific survival and quality-of-life (QOL) assessment are important in evaluating cancer treatment outcomes. Baseline demographic profiles have significant effects on follow-up health related QOL (HRQOL) and affect the outcome of treatments.
Post-operative gynaecological cancer patients required adjuvant pelvic radiation enrolled longitudinal assessment study. Patients had completed the short form-36 (SF-36) questionnaire before the adjuvant radiotherapy and functional assessments of cancer therapy-general module at 6(th) month's follow-up period to assess the HRQOL. Baseline variables were race, age, body mass index (BMI), education, marital status, type of surgery, physical composite scores (PCS) and mental composite scores (MCS) summary scores of the SF-36. Univariate and multivariate regression analysis used to determine the influence of these variables on post-radiotherapy HRQOL domains.
Baseline PCS, MCS, age, education and marital status had positively correlation with post-radiotherapy HRQOL while higher BMI had a negative impact in univariate analysis. In multivariate regression analysis, education and MCS had a positive correlation while higher BMI had a negative correlation with HRQOL domains.
Enhance our ability to detect demographic variables and modify those factors and develops new treatment aimed at improving all aspect of gynaecological cancer including good QOL.
癌症特异性生存率和生活质量(QOL)评估在评估癌症治疗效果中很重要。基线人口统计学特征对后续与健康相关的生活质量(HRQOL)有显著影响,并影响治疗结果。
需要辅助盆腔放疗的妇科癌症术后患者参加纵向评估研究。患者在辅助放疗前完成了简短健康调查问卷(SF-36),并在随访第6个月时完成了癌症治疗通用模块功能评估,以评估HRQOL。基线变量包括种族、年龄、体重指数(BMI)、教育程度、婚姻状况、手术类型、SF-36的身体综合评分(PCS)和心理综合评分(MCS)汇总分数。采用单因素和多因素回归分析来确定这些变量对放疗后HRQOL领域的影响。
在单因素分析中,基线PCS、MCS、年龄、教育程度和婚姻状况与放疗后HRQOL呈正相关,而较高的BMI有负面影响。在多因素回归分析中,教育程度和MCS与HRQOL领域呈正相关,而较高的BMI与HRQOL领域呈负相关。
提高我们检测人口统计学变量并改变这些因素的能力,并开发旨在改善妇科癌症各个方面(包括良好生活质量)的新治疗方法。