Evidence map›Paper›PMID 32055281›Full record

ArticleAmerican health & drug benefits2019

Realized and Projected Cost-Savings from the Introduction of Generic Imatinib Through Formulary Management in Patients with Chronic Myelogenous Leukemia.

David Campbell, Marlo Blazer, Lisa Bloudek, John Brokars, Dinara Makenbaeva

Open access · greenAbstract read
In one paragraph

Article in American health & drug benefits, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 4 countries.

David CampbellAssistant Director, Scientific Consulting, Scientific Consulting, Xcenda, Palm Harbor, FL.
Marlo BlazerAssociate Director, Scientific Consulting, Xcenda, Palm Harbor, FL.
Lisa BloudekPresident, Curta, Seattle, WA.
John BrokarsHealth Outcomes Research Director, Worldwide Health Economics and Outcomes Research Communications Lead, Bristol-Myers Squibb, Princeton, NJ.
Dinara MakenbaevaGroup Director, Worldwide Health Economics and Outcomes Research Communications Lead, Bristol-Myers Squibb, Princeton, NJ.
Scientific Consulting Group · USBristol-Myers Squibb (Germany) · DECURE International UK · GBHealth Economics and Outcomes Research (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImatinib, a first-generation tyrosine kinase inhibitor (TKI), and the newer second-generation TKIs have dramatically improved outcomes for patients with chronic myelogenous leukemia (CML). A previous model estimated the potential cost-savings over the next 2 years after the loss of patent exclusivity for imatinib in the United States in 2016 and its availability in a generic form. Payers have indeed realized meaningful savings, but it took 2 years for the prices of generic imatinib to decline substantially.

objectiveTo quantify the cost-savings for a US health plan from the passive substitution of generic imatinib and the impact of step-edit therapy with the use of generic imatinib before coverage of a second-generation TKI.

methodsWe updated the previously published model utilizing hypothetical 1-million-member commercial and Medicare plans to include current TKI use and pricing combined with recent epidemiologic data. Regression models were used to project utilization to 5 years after the loss of imatinib's patent exclusivity. We compared generic imatinib costs with a scenario in which generic imatinib was not available. The impact of a step-edit therapy restriction was explored for patients with incident CML. The analyses were repeated for the entire US population based on national census data.

resultsThe 1-million-member commercial plan saved $0.5 million (3%) from pharmacy spending on TKIs in year 1 and $3.9 million (19%) in year 2 after the loss of patent exclusivity. The projected savings significantly increased to $7.8 million (37%), $8.3 million (39%), and $8.6 million (40%) in years 3, 4, and 5, respectively. Step-edits strategies were projected to result in small incremental savings of $0.3 million (1.5%) annually in years 3 to 5. The 1-million-member Medicare plan saved $1.7 million (3%) in year 1 and $14.1 million (19%) in year 2. The projected savings were $27.8 million (37%), $29.5 million (39%), and $30.8 million (40%), with step-edit estimated to add only $0.9 million (1.2%) annually in years 3 to 5. Generic imatinib saved US payers $2.5 billion (13% of the total spending on TKIs) in years 1 and 2. In years 3 to 5, the cumulative projected savings totaled $12.2 billion, and the savings were expected to grow to 39% as a result of passive generic imatinib substitution, with only 1.7% additional savings from step-edit restriction.

conclusionsAs a result of a lower price for generic imatinib relative to the brand-name version of the drug, substantial cost-savings to US payers over the next 3 years are expected without step-edit formulary management restrictions. Cost-saving strategies, including formulary management restrictions, should adhere to evidence-based guidelines to ensure the appropriate use of generic imatinib and all available TKIs, with the objective to maintain positive outcomes and, in turn, increase the value of patient care.

Indexed as

chronic myelogenous leukemia (CML)cost-savingsformulary managementgeneric imatinibpharmacy spendingprior authorizationstep-editstyrosine kinase inhibitors (TKIs)

Identifiers

PMID32055281
PMCPMC6996618
OpenAlexW2993955657

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.