05/20/2021

A Review of Evidence Supporting NCCN Category 2B Off-label Recommendations for Determination of Medicare Reimbursement Eligibility

ASCO Annual Meeting 2021 Presentation
Authors Molly Erin DiScala, Kenneth Robert Carson, Gary Irving Grad, Brett Mahon

Background: Antineoplastic indications supported by a category 1 or 2A NCCN recommendation are reimbursed by insurance and Medicare, as are FDA-approved indications. While initial reimbursement requests for “off-label” NCCN category 2B indications may be denied, Medicare will reimburse off-label antineoplastic use supported by evidence from a peer-reviewed publication from one of 26 designated journals. Here, we evaluated the published clinical evidence supporting NCCN category 2B indications.

Methods: Category 2B drug indications for the 10 most common solid tumor types were identified in the NCCN compendium (n=104). The results were then filtered to include drugs with only category 2B indications in a particular tumor type (n=14). Similarly, FDA-approved indications were excluded, resulting in a list of drugs with only a 2B indication that are not FDA approved in the specified cancer type (n=8). Published clinical studies supporting these category 2B indications were assessed for study type and journal name in PubMed, and journal names were cross-referenced with the CMS-supported list.

Results: Among the 8 non-FDA-approved drug indications with only category 2B recommendations, 7 (87%) had at least one publication of a clinical trial in one of the 26 designated journals. The only 2B indication without supporting literature was single-agent gemcitabine hydrochloride in bladder cancer. For further details, see Table.

Conclusions: These results suggest that clinicians should consider pursuing the appeals process and provide supporting evidence in cases of claim denial. While coverage is not guaranteed, the evidence supporting 2B indications frequently meets the criteria identified in the Medicare statute. Further studies will evaluate if these findings extrapolate to less common tumor types.

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