Real-World Use of Topical Ruxolitinib in Vitiligo: A Retrospective Cross-Sectional Mixed-Methods Infodemiology Study of the r/Vitiligo Subreddit.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Michael Constantin Kirchberger, Carola Berking, Andreas Eisenried
{"title":"Real-World Use of Topical Ruxolitinib in Vitiligo: A Retrospective Cross-Sectional Mixed-Methods Infodemiology Study of the r/Vitiligo Subreddit.","authors":"Michael Constantin Kirchberger, Carola Berking, Andreas Eisenried","doi":"10.2196/78247","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Vitiligo significantly impairs quality of life. Topical ruxolitinib is a novel Janus kinase inhibitor approved for non-segmental vitiligo, but real-world patient experiences, particularly regarding efficacy, side effects, and access challenges following approval, are not fully captured by clinical trials. Online patient forums like Reddit offer valuable insights into these aspects.</p><p><strong>Objective: </strong>To analyse discussions on the r/Vitiligo subreddit regarding topical ruxolitinib to understand real-world patient experiences, perceived treatment success, side effects, access barriers, and overall sentiment.</p><p><strong>Methods: </strong>We conducted a retrospective, cross-sectional infodemiology study of posts and comments mentioning ruxolitinib or Opzelura® on r/Vitiligo (January 2022-December 2024) was conducted. After filtering and preprocessing, 2,950 entries were analysed. Computational linguistics (all-MiniLM-L6-v2), including sentence-transformer embeddings for semi-supervised topic classification into Therapy Success, Side Effects, Insurance & Cost plus Off-topic were employed. Valence Aware Dictionary and sEntiment Reasoner (VADER) (-1 to +1) for sentiment analysis was assessed. Temporal trends were analysed, and model performance was validated manually against blinded manual annotation of n=500 entries. Representative qualitative data were reviewed.</p><p><strong>Results: </strong>Discussions increased following regulatory approvals. \"Therapy Success\" was the largest cluster (1765/2950 entries, 59.8% [95% confidence interval (CI) 58.1-61.6]) with positive sentiment (avg. 0.473 [95% CI 0.46-0.48]), frequently describing facial repigmentation and adjunctive use with phototherapy. Users also reported encouraging hair repigmentation within treated areas and success even on vitiligo spots present for over 20 years, while noting that areas like hands and feet were particularly treatment-resistant. The \"Side Effects\" cluster (558/2950 entries, 18.9% [95% CI 17.5-20.3]) had negative sentiment (avg. -0.110 [95% CI -0.14-0.07]), frequently mentioning application-site acne but also fatigue and in rare anecdotal reports, more severe events like panic attacks or anemia. The \"Insurance & Cost\" cluster (491/2950 entries, 16.6% [95% CI 15.3-18.0]) had positive sentiment (avg. 0.349 [95% CI 0.31-0.39]), dominated by discussions on high costs and access difficulties, alongside strategies like co-pay programs but also noting insurance denials that often classified the treatment as cosmetic. Manual model validation showed substantial agreement (Accuracy 88.4% [95% CI 86-91], F1 0.893 [95% CI, 0.865-0.918], Cohen's Kappa 0.801 [95% CI, 0.760-0.840]).</p><p><strong>Conclusions: </strong>Real-world Reddit narratives broadly corroborate clinical trial efficacy signals, particularly facial repigmentation and utility alongside phototherapy, while highlighting practical barriers: frequent application-site acne and cost/insurance friction. These findings have direct clinical and policy implications: clinicians can proactively counsel about expected benefit on facial areas, monitor and manage acne/irritation, and discuss combination with phototherapy; practices and payers can mitigate access delays using prior-authorization templates and co-pay assistance. Social-media infodemiology thus complements pharmacovigilance and health services research by quantifying patient-reported outcomes (~60% success-themed content, mean sentiment 0.473 [95% CI 0.46-0.48]) and surfacing access issues (~17% cost/insurance content) at scale, informing patient counseling and coverage decisions in routine care.</p><p><strong>Clinicaltrial: </strong></p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":" ","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/78247","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Vitiligo significantly impairs quality of life. Topical ruxolitinib is a novel Janus kinase inhibitor approved for non-segmental vitiligo, but real-world patient experiences, particularly regarding efficacy, side effects, and access challenges following approval, are not fully captured by clinical trials. Online patient forums like Reddit offer valuable insights into these aspects.

Objective: To analyse discussions on the r/Vitiligo subreddit regarding topical ruxolitinib to understand real-world patient experiences, perceived treatment success, side effects, access barriers, and overall sentiment.

Methods: We conducted a retrospective, cross-sectional infodemiology study of posts and comments mentioning ruxolitinib or Opzelura® on r/Vitiligo (January 2022-December 2024) was conducted. After filtering and preprocessing, 2,950 entries were analysed. Computational linguistics (all-MiniLM-L6-v2), including sentence-transformer embeddings for semi-supervised topic classification into Therapy Success, Side Effects, Insurance & Cost plus Off-topic were employed. Valence Aware Dictionary and sEntiment Reasoner (VADER) (-1 to +1) for sentiment analysis was assessed. Temporal trends were analysed, and model performance was validated manually against blinded manual annotation of n=500 entries. Representative qualitative data were reviewed.

Results: Discussions increased following regulatory approvals. "Therapy Success" was the largest cluster (1765/2950 entries, 59.8% [95% confidence interval (CI) 58.1-61.6]) with positive sentiment (avg. 0.473 [95% CI 0.46-0.48]), frequently describing facial repigmentation and adjunctive use with phototherapy. Users also reported encouraging hair repigmentation within treated areas and success even on vitiligo spots present for over 20 years, while noting that areas like hands and feet were particularly treatment-resistant. The "Side Effects" cluster (558/2950 entries, 18.9% [95% CI 17.5-20.3]) had negative sentiment (avg. -0.110 [95% CI -0.14-0.07]), frequently mentioning application-site acne but also fatigue and in rare anecdotal reports, more severe events like panic attacks or anemia. The "Insurance & Cost" cluster (491/2950 entries, 16.6% [95% CI 15.3-18.0]) had positive sentiment (avg. 0.349 [95% CI 0.31-0.39]), dominated by discussions on high costs and access difficulties, alongside strategies like co-pay programs but also noting insurance denials that often classified the treatment as cosmetic. Manual model validation showed substantial agreement (Accuracy 88.4% [95% CI 86-91], F1 0.893 [95% CI, 0.865-0.918], Cohen's Kappa 0.801 [95% CI, 0.760-0.840]).

Conclusions: Real-world Reddit narratives broadly corroborate clinical trial efficacy signals, particularly facial repigmentation and utility alongside phototherapy, while highlighting practical barriers: frequent application-site acne and cost/insurance friction. These findings have direct clinical and policy implications: clinicians can proactively counsel about expected benefit on facial areas, monitor and manage acne/irritation, and discuss combination with phototherapy; practices and payers can mitigate access delays using prior-authorization templates and co-pay assistance. Social-media infodemiology thus complements pharmacovigilance and health services research by quantifying patient-reported outcomes (~60% success-themed content, mean sentiment 0.473 [95% CI 0.46-0.48]) and surfacing access issues (~17% cost/insurance content) at scale, informing patient counseling and coverage decisions in routine care.

Clinicaltrial:

局部Ruxolitinib在白癜风中的实际应用:r/白癜风版块的回顾性横截面混合方法信息流行病学研究。
背景:白癜风严重影响生活质量。外用ruxolitinib是一种被批准用于治疗非节段性白癜风的新型Janus激酶抑制剂,但临床试验并没有完全捕捉到实际患者的体验,特别是关于疗效、副作用和批准后的准入挑战。像Reddit这样的在线患者论坛在这些方面提供了有价值的见解。目的:分析r/白癜风版块上关于局部ruxolitinib的讨论,以了解真实世界的患者体验、感知治疗成功、副作用、准入障碍和整体情绪。方法:对涉及ruxolitinib或Opzelura®治疗r/白癜风(2022年1月至2024年12月)的帖子和评论进行回顾性、横断面信息流行病学研究。经过过滤和预处理,分析了2950个条目。使用计算语言学(all-MiniLM-L6-v2),包括句子转换器嵌入,将半监督主题分类为治疗成功、副作用、保险和成本以及非主题。评估情感分析的价感知字典和情感推理器(VADER)(-1至+1)。分析了时间趋势,并针对n=500个条目的盲法手工注释手动验证了模型的性能。对具有代表性的定性资料进行了回顾。结果:随着监管部门的批准,讨论增加了。“治疗成功”是最大的一类(1765/2950条目,59.8%[95%置信区间(CI) 581 -61.6]),具有积极的情绪(平均值0.473 [95% CI 0.46-0.48]),经常描述面部色素沉着和辅助使用光疗。用户还报告说,在治疗过的地方,他们的头发重新色素沉着,甚至在白癜风斑存在超过20年的地方也取得了成功,同时注意到手脚等部位特别难以治疗。“副作用”组(558/2950个条目,18.9% [95% CI 17.5-20.3])有负面情绪(平均值为-0.110 [95% CI -0.14-0.07]),经常提到应用部位痤疮,但也提到疲劳,在罕见的轶事报道中,更严重的事件,如惊恐发作或贫血。“保险和成本”集群(491/2950个条目,16.6% [95% CI 15.3-18.0])有积极的情绪(平均值0.349 [95% CI 0.31-0.39]),主要是关于高成本和获取困难的讨论,以及共同支付计划等策略,但也注意到保险拒绝通常将治疗归类为美容治疗。人工模型验证显示了大量的一致性(准确率88.4% [95% CI 86-91], F1为0.893 [95% CI, 0.865-0.918], Cohen's Kappa为0.801 [95% CI, 0.76 -0.840])。结论:真实世界的Reddit叙述广泛地证实了临床试验的疗效信号,特别是面部色素恢复和光疗的效用,同时强调了实际障碍:频繁的应用部位痤疮和成本/保险摩擦。这些发现具有直接的临床和政策意义:临床医生可以主动咨询面部区域的预期益处,监测和管理痤疮/刺激,并讨论与光疗的结合;实践和支付方可以使用预先授权模板和共同支付帮助来减轻访问延迟。因此,社交媒体信息流行病学通过量化患者报告的结果(约60%以成功为主题的内容,平均情绪0.473 [95% CI 0.46-0.48])和大规模呈现访问问题(约17%的成本/保险内容),为患者咨询和常规护理的覆盖决策提供信息,补充了药物警戒和卫生服务研究。临床试验:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信