Retinal Vein Occlusion – Current Treatment – Detailed, Expanded Analysis – Treatment Algorithms – Claims Data Analysis (US)

Like other retinal disease therapy markets, the retinal vein occlusion (RVO) with macular edema (ME) market in the United States is unique in that it is dominated by Genentech’s Avastin, an oncology drug used off-label for RVO with ME, despite the availability of two effective approved therapies—Genentech’s Lucentis and Regeneron’s Eylea. These therapies, all of which target vascular endothelial growth factor (VEGF) and have been shown to improve visual acuity in RVO with ME patients, compete directly for patient share. The intravitreal corticosteroid implant Ozurdex, also approved for RVO with ME, is an alternative option. As the RVO with ME pipeline becomes more active, it is essential to understand where the current players fit in the RVO with ME treatment algorithm.


  • What patient shares do key therapies and brands garner by line of therapy in newly diagnosed RVO with ME patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed RVO with ME patients?
  • How have each of the VEGF inhibitors (Avastin, Eylea, and Lucentis) been integrated into the treatment algorithm, and what are their sources of business?
  • What percentage of RVO with ME patients receive drug therapy within 365 days of diagnosis, and how quickly? What percentage of patients progress to later lines of therapy within 365 days of diagnosis?
  • What percentage of RVO with ME patients are treated with monotherapy versus combination therapy? What are the most commonly used combinations?
  • What are the product-level compliance and persistency rates among drug-treated patients?


Geography: United States

Real-world data: Longitudinal patient-level claims data analysis.

Key drugs covered: Avastin, Eylea, Lucentis, Ozurdex, triamcinolone, Triesence

Key analysis provided:

  • Brand / therapy usage across longitudinal patient sample.
  • Newly diagnosed patient analysis.
  • Treatment initiation and progression.
  • Line of therapy analysis.
  • Combination therapy analysis.
  • Source of business for recently treated patients.
  • Persistency and compliance analysis.
  • Product-level patient flowcharts.


Treatment Algorithms: Claims Data Analysis provides detailed, quantitative analysis of the treatment journey and brand usage across lines of therapy and overall using real-world, patient-level claims data so that marketers can accurately assess their source of business, benchmark usage against competitors, and quantify areas of opportunity for their marketed or emerging brand.

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