Evaluation of drug options for epithelial ovarian cancer (EOC) treatment using the analytical hierarchy process improves decision-making transparency

Epithelial ovarian cancer (EOC) poses considerable challenges in selecting appropriate treatments due to the interplay of factors such as drug efficacy, safety, cost, resistance, and patient compliance. To address these complexities, this study employs the Analytical Hierarchy Process (AHP) as a structured and transparent decision-making framework for evaluating and ranking drug therapies for EOC. Using expert-driven pairwise comparisons, the study analyzes six key criteria: therapeutic efficacy, safety, route of administration, economic viability, patient compliance, and drug resistance. The AHP methodology assigns weighted priorities to each criterion and identifies the most effective and feasible treatment options based on these weights. Findings reveal that therapeutic efficacy holds the highest priority, followed by safety, while route of administration and economic viability are of moderate importance. Patient compliance and drug resistance, although relevant, ranked lower in the decision hierarchy. The results underscore the importance of prioritizing highly effective and safe drugs, while also factoring in cost and practical delivery considerations. This research demonstrates that AHP offers a robust, transparent tool for clinical decision-making, helping healthcare professionals systematically navigate complex treatment choices for EOC. By integrating expert judgment with structured evaluation, the study enhances drug selection strategies and supports improved patient outcomes in EOC management.

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Publication Details

Journal
Discover Oncology
Published
2025-12-17
DOI
https://doi.org/10.1007/s12672-025-04274-5
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
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article

Evaluation of drug options for epithelial ovarian cancer (EOC) treatment using the analytical hierarchy process improves decision-making transparency

Nina Khlghatyan, Parvin Ghorbani, Arsen Minasyan, Simin Ghorbani et al.
Discover Oncology
Ovarian cancer diagnosis and treatment
article

Evaluation of drug options for epithelial ovarian cancer (EOC) treatment using the analytical hierarchy process improves decision-making transparency

Nina Khlghatyan, Parvin Ghorbani, Arsen Minasyan, Simin Ghorbani, Hamzeh Ghorbani, David A. Wood, Tatevik Arshakyan, Eduard Avagyan
article en

Abstract

Epithelial ovarian cancer (EOC) poses considerable challenges in selecting appropriate treatments due to the interplay of factors such as drug efficacy, safety, cost, resistance, and patient compliance. To address these complexities, this study employs the Analytical Hierarchy Process (AHP) as a structured and transparent decision-making framework for evaluating and ranking drug therapies for EOC. Using expert-driven pairwise comparisons, the study analyzes six key criteria: therapeutic efficacy, safety, route of administration, economic viability, patient compliance, and drug resistance. The AHP methodology assigns weighted priorities to each criterion and identifies the most effective and feasible treatment options based on these weights. Findings reveal that therapeutic efficacy holds the highest priority, followed by safety, while route of administration and economic viability are of moderate importance. Patient compliance and drug resistance, although relevant, ranked lower in the decision hierarchy. The results underscore the importance of prioritizing highly effective and safe drugs, while also factoring in cost and practical delivery considerations. This research demonstrates that AHP offers a robust, transparent tool for clinical decision-making, helping healthcare professionals systematically navigate complex treatment choices for EOC. By integrating expert judgment with structured evaluation, the study enhances drug selection strategies and supports improved patient outcomes in EOC management.

Discover OncologyVol. 17(1)
Ahvaz Jundishapur University of Medical Sciences (IR), American University of Armenia (AM), EDF Energy (United Kingdom) (GB), Islamic Azad University, Ahvaz Branch (IR)
Openalex Percentile: Top 48%
Ovarian cancer diagnosis and treatment
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