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 ORIGINAL ARTICLE
Year : 2013  |  Volume : 19  |  Issue : 3  |  Page : 186--191

Baseline demographic profile and general health influencing the post-radiotherapy health related quality-of-life in women with gynaecological malignancy treated with pelvic irradiation


1 Department of Radiotherapy, Burdwan Medical College and Hospital, Burdwan, India
2 Department of Obstetrics and Gynaecology, Burdwan Medical College and Hospital, Burdwan, India
3 Department of Community Medicine, Burdwan Medical College and Hospital, Burdwan, India
4 Department of Cardiology, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India

Correspondence Address:
Sourav Sau
Department of Radiotherapy, Burdwan Medical College and Hospital, Burdwan
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1075.121540

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Background: 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. Materials and Methods: 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. Results: 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. Conclusion: 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.






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