JOURNAL ARTICLE

A comprehensive study of adverse effects of chemotherapy on female breast cancer patients in NORI Cancer Hospital, Islamabad in a developing country.

  • Published In: Journal of Oncology Pharmacy Practice, 2025, v. 31, n. 6. P. 939 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Abdullah; Abid, Areesha; Saeed, Humza; Zabeehullah; Iftikhar, Uswa; Arshad, Muhammad Khubaib; Shahid, Muhammad Uzair; Rasool, Tayyab; Fazal, Faizan; Goyal, Aman; Akbar, Anum 3 of 3

Abstract

This article focuses on the prevalence, severity, and impact of symptomatic toxicities affecting various organ systems in female breast cancer patients following systemic chemotherapy at the Nuclear Medicine, Oncology and Radiotherapy Institute (NORI) Cancer Hospital in Pakistan. The observational study of 253 patients found that adverse effects (AEs) such as hair loss, fatigue, gastrointestinal symptoms, and musculoskeletal pain were common and often interfered with daily activities. Severity of AEs was significantly associated with the number of chemotherapy cycles, disease stage, and positive family history of breast cancer, with younger patients reporting more anxiety. These patient-reported outcomes highlight the importance of tailored management strategies that consider prognostic factors and treatment-related toxicities to improve quality of life in breast cancer patients undergoing chemotherapy, particularly in developing country settings.

Additional Information

  • Source:Journal of Oncology Pharmacy Practice. 2025/09, Vol. 31, Issue 6, p939
  • Document Type:Article
  • Subject Area:Ethnic and Cultural Studies
  • Publication Date:2025
  • ISSN:1078-1552
  • DOI:10.1177/10781552241266254
  • Accession Number:186915035
  • Copyright Statement:Copyright of Journal of Oncology Pharmacy Practice is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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