Dynamics in Quality of Life of Breast Cancer Patients Following Breast-Conserving Surgery Versus Mastectomy: Protocol for Systematic Review and Meta-Analysis
Authors:
- Iryna MakhnevychIMIryna Makhnevych
- Darya SmetaninaDSDarya Smetanina
- Mohamed Fatihy Elgasim AbdelgyoumMAMohamed Fatihy Elgasim Abdelgyoum
- Jood Jasem Shaddad AlblooshiJAJood Jasem Shaddad Alblooshi
- Aysha Khamis AlhosaniAAAysha Khamis Alhosani
- Ibrahim Mohamed Ahmed MusaIMIbrahim Mohamed Ahmed Musa
- Anna NimerANAnna Nimer
- Kornelia ZarębaKZKornelia Zaręba
- Tallal YounisTYTallal Younis
- Milos LjubisavljevicMLMilos Ljubisavljevic
- Yauhen StatsenkoYSYauhen Statsenko
Open Access
- 15 November 2024
- journal article
- research article
- Published by MDPI AG in Healthcare
- Vol. 12 (22) , 2288
Abstract
Background: Quality of life (QoL) may change in female patients with breast cancer over time due to its dynamic construct. Recent studies have provided statistics on the diverse predictors of QoL in breast cancer patients. Still, the literature findings on the prognostication of QoL are scarce. Objectives: With this meta-analysis, we aim to describe the dynamics of overall QoL and its dimensions: mental status, physical functioning, and social interactions. Methods: To reach this aim, we will systematically evaluate the peer-reviewed literature on QoL of women who have undergone either mastectomy or breast-conserving surgery. The proposed study will focus on, but not be limited to, the analysis of BIRS, FACT-B, and EORTC QLQ-C30 questionnaires, which are most commonly used in the assessment of the quality of life of cancer patients. Then, we will extract the following outcome measures: The participants’ age, time since surgery, type of tumor removal procedure (mastectomy or breast-conserving surgery), breast reconstruction technique, mean value, and standard deviation in a QoL score. A random-effects model will then compute the pooled QoL and construct the trend lines for scores received from each diagnostic tool. The findings will be adjusted according to the reconstruction techniques and tumor removal surgery. Finally, we will model the QoL dynamics with a set of predictors identified in the extracted studies. Conclusions: The study findings may serve as a tool for stratifying female patients with breast cancer by the risk of significant reduction in QoL.Keywords
Funding Information
- ASPIRE, the technology program management pillar of Abu Dhabi’s Advanced Technology Research Council (ATRC) (VRI-20-10, 4012, 4077)
- UAEU SURE Plus (VRI-20-10, 4012, 4077)
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