Jood Jasem Shaddad Alblooshi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jood Jasem Shaddad Alblooshi has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Anna Nimer
Department of Obstetrics and Gynecology, College of Medicine and Health Sciences United Arab Emirates University Al Ain UAE
1 shared publication - Aysha Khamis Alhosani
Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
1 shared publication - Darya Smetanina
Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, United Arab Emirates
1 shared publication - Ibrahim Mohamed Ahmed Musa
Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Abu Dhabi P.O. Box 15551, United Arab Emirates
1 shared publication - Iryna Makhnevych
Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
1 shared publication - Kornelia Zaręba
Department of Obstetrics & Gynecology, College of Medicine and Health Sciences, United Arab Emirates University, United Arab Emirates
1 shared publication
Latest Publications
- Open Access
- 15 November 2024
- Published by MDPI AG in Healthcare
- Vol. 12 (22) , 2288
Dynamics in Quality of Life of Breast Cancer Patients Following Breast-Conserving Surgery Versus Mastectomy: Protocol for Systematic Review and Meta-Analysis
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.
- 15 November 2024
- Published by MDPI AG in Healthcare
- Vol. 12 (22) , 2288
Open AccessDynamics in Quality of Life of Breast Cancer Patients Following Breast-Conserving Surgery Versus Mastectomy: Protocol for Systematic Review and Meta-Analysis
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.