Polycystic Ovary Syndrome (PCOS) - The Application of Selected off-label drugs found in medical databases

K. Kus, Maria Sygit, Maciuszek-Bartkowska Barbara, P. Ratajczak, A. Paczkowska, Dorota Kopciuch, T. Zaprutko
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Abstract

Medical databases are crucial tools in medicine and pharmacy, aiding studies on the impact of medical products on health and informing treatment decisions. However, prescribers must blend database insights with clinical expertise for accurate choices. Clinical experience doesn't always align with drug Summaries of Product Characteristics (SPCs). While SPC guidelines ensure safety, they might not optimize efficacy. For instance, treating Polycystic Ovary Syndrome (PCOS) often benefits from off-label therapies that are clinically and cost-effective. The study aimed to identify potential PCOS treatments beyond approved uses in Poland and globally. The methodology involved reviewing databases used by medical professionals. Out of 29, 11 databases were chosen based on off-label drug availability and relevance to PCOS. Results show that medical databases aid medical professionals in finding off-label PCOS treatments. These databases also assess a drug's potential efficacy and risks. However, their usefulness has limits, lacking comprehensive data on usage, mechanisms, and safety. When using literary databases, keyword selection significantly influences search results.
多囊卵巢综合症 (PCOS) - 医学数据库中发现的部分标签外药物的应用
医学数据库是医学和药学领域的重要工具,有助于研究医疗产品对健康的影响,并为治疗决策提供信息。然而,处方者必须将数据库的见解与临床专业知识相结合,才能做出准确的选择。临床经验并不总是与药品的《产品特征概要》(SPC)一致。虽然 SPC 指南能确保安全性,但可能无法优化疗效。例如,治疗多囊卵巢综合症(PCOS)通常可以从临床和成本效益高的标签外疗法中获益。这项研究旨在确定波兰和全球范围内已获批准用途之外的潜在多囊卵巢综合症治疗方法。研究方法包括审查医疗专业人员使用的数据库。在 29 个数据库中,根据标示外药物的可用性和与多囊卵巢综合症的相关性选择了 11 个数据库。结果表明,医疗数据库有助于医疗专业人员找到标示外的多囊卵巢综合症治疗方法。这些数据库还能评估药物的潜在疗效和风险。然而,它们的作用也有局限性,缺乏有关用法、机制和安全性的全面数据。在使用文学数据库时,关键词的选择对搜索结果有很大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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