Purpose: Cancer treatment shortages are complex and a persistent problem worldwide. Patients with cancer are most vulnerable to drug shortages, which provides opportunities to examine the extent of the challenge(s) facing Saudi Arabia and to provide recommendations toward mitigating the impact of cancer treatment shortages on patient outcomes.
Materials And Methods: A qualitative methodologic approach was conducted in April 2019 using a validated questionnaire and structured panel discussion for data generation.
Results: Overall, 55 responses were received from practicing oncology health care professionals (26 pharmacists and 29 physicians). The annual average number of treated patients with cancer per institution was 640 (adults [n = 400] and pediatric [n = 240]). All respondents (100%) reported that cancer treatment shortages constitute a current problem in their center, with an average of 5 (range, 1-9) per month. The panelists recognized 2 fundamental points. First, the definition of cancer drug shortages should be standardized and recognized at the national level. Second, the current system must be improved to ensure proper and efficient use of the current resources. On that basis, the panelists developed 9 recommendations for action.
Conclusion: Cancer drug shortage is a significant problem in all health centers in Saudi Arabia. This study presents challenges that should be addressed at the national level and essential consensus recommendations for a coordinated action developed by a panel of experts to tackle the current national problem of cancer treatment shortages. Implementing these recommendations will provide a blueprint for management of national drug shortages in general and cancer treatment shortages in particular.
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http://dx.doi.org/10.1200/JGO.19.00230 | DOI Listing |
World J Surg Oncol
January 2025
Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China.
Objective: This study aimed to evaluate and compare the clinicopathologic features of primary fallopian tubal carcinoma (PFTC) and high-grade serous ovarian cancer (HGSOC) and explore the prognostic factors of these two malignant tumors.
Methods: Fifty-seven patients diagnosed with PFTC from 2006 to 2015 and 60 patients diagnosed with HGSOC from 2014 to 2015 with complete prognostic information were identified at Women's Hospital of Zhejiang University. The clinicopathological and surgical data were collected, and the survival of the patients was followed for 5 years after surgery.
BMC Health Serv Res
January 2025
Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Background: Cancer requires interdisciplinary intersectoral care. The Care Coordination Instrument (CCI) captures patients' perspectives on cancer care coordination. We aimed to translate, adapt, and validate the CCI for Germany (CCI German version).
View Article and Find Full Text PDFBMC Pharmacol Toxicol
January 2025
Biochemistry Department, Faculty of Science, Tanta University, Tanta, Egypt.
Background: Naringenin, a flavonoid compound found in citrus fruits, possesses valuable anticancer properties. However, its potential application in cancer treatment is limited by poor bioavailability and pharmacokinetics at tumor sites. To address this, Naringenin nanoparticles (NARNPs) were prepared using the emulsion diffusion technique and their anticancer effects were investigated in HepG2 cells.
View Article and Find Full Text PDFWorld J Surg Oncol
January 2025
Institute of Oncology, Tel Aviv Sourasky Medical Center, Weizmann St 6, Tel Aviv, Israel.
Background: De-intensification of anti-cancer therapy without significantly affecting outcomes is an important goal. Omission of axillary surgery or breast radiation is considered a reasonable option in elderly patients with early-stage breast cancer and good prognostic factors. Data on avoidance of both axillary surgery and radiation therapy (RT) is scarce and inconclusive.
View Article and Find Full Text PDFBiomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
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