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作为非标签使用的提高成绩药物使用替代指标的社会兴趣数据:影响与临床考量

Social Interest Data as a Proxy for Off-Label Performance-Enhancing Drug Use: Implications and Clinical Considerations.

作者信息

Holubeck Philip A, Eksi Andrew C, Gillett Kyle, O'Hara James, McGoldrick Daniel J, Brown Demi R, McCarthy Alec D

机构信息

College of Medicine, University of Nebraska Medical Center, Omaha, USA.

Department of Family Medicine, University of Kansas Health System, Olathe, USA.

出版信息

Cureus. 2024 Jan 10;16(1):e52011. doi: 10.7759/cureus.52011. eCollection 2024 Jan.

Abstract

Performance-enhancing drugs (PEDs) can be categorized into various classes based on the physiological mechanism of the compound, with the most popular being anabolic steroids, selective androgen receptor modulators, and growth hormones. Ancillary compounds, such as selective estrogen receptor modulators (SERMs) and selective estrogen receptor degraders, are commonly utilized alongside a PED to counterbalance any potential undesired side effects. With little clinically relevant data to support the use of these ancillary compounds, medical education and evidence-based approaches aimed at monitoring the potential adverse effects of PED use are sparse.This study aims to identify emerging trends in the interest of PEDs and related ancillary compounds, hypothesize the physiological effects of the continued respective behavior, and propose a proxy for use by clinicians to approximate off-label drug use and subsequently modify their practices accordingly. Several significant trends were identified for non-FDA-regulated compounds (i.e., selective androgen receptor modulators such as RAD-140) and off-label indications for FDA-regulated drugs (i.e., SERMs such as tamoxifen). A significant increase in interest regarding selective androgen receptor modulators, mirrored by anecdotal reports in clinical settings and online forums, is coupled with stagnant or decreasing interest in both post-cycle therapies and anabolic steroids. Ultimately, we propose a call to action for utilizing social data and/or prescription data as a proxy for clinicians to better understand trends in these compounds and thus refine their treatment protocols in a concordant manner.

摘要

提高成绩的药物(PEDs)可根据化合物的生理机制分为不同类别,其中最常见的是合成代谢类固醇、选择性雄激素受体调节剂和生长激素。辅助化合物,如选择性雌激素受体调节剂(SERMs)和选择性雌激素受体降解剂,通常与PED一起使用,以平衡任何潜在的不良副作用。由于几乎没有临床相关数据支持这些辅助化合物的使用,针对监测PED使用潜在不良反应的医学教育和循证方法很少。本研究旨在确定PEDs和相关辅助化合物使用兴趣的新趋势,推测持续各自行为的生理影响,并提出一种供临床医生使用的替代方法,以近似非标签药物使用情况,从而相应地调整他们的做法。对于非FDA监管的化合物(如RAD-140等选择性雄激素受体调节剂)和FDA监管药物的非标签适应症(如他莫昔芬等SERMs),确定了几个显著趋势。临床环境和在线论坛中的传闻报告反映出,对选择性雄激素受体调节剂的兴趣显著增加,同时对周期后疗法和合成代谢类固醇的兴趣停滞或下降。最终,我们呼吁采取行动,利用社会数据和/或处方数据作为替代方法,让临床医生更好地了解这些化合物的趋势,从而以一致的方式完善他们的治疗方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cdf/10854362/2b5b477e8668/cureus-0016-00000052011-i01.jpg

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