Evidence map›Paper›PMID 30247102›Full record

ArticleJournal of managed care & specialty pharmacy2018

Cost-Effectiveness and Budget Impact of Lumacaftor/Ivacaftor in the Treatment of Cystic Fibrosis.

Pratyusha Vadagam, Khalid M Kamal, Jordan R Covvey, Vincent Giannetti, Kumar Mukherjee

Erratum issuedOpen access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 29% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Societal Economic Burden of Cystic Fibrosis in Iran: A Cost-of-Illness Study.Journal of health economics and outcomes research · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Pratyusha Vadagam1 Division of Pharmaceutical, Administrative and Social Sciences, Duquesne University School of Pharmacy, Pittsburgh, Pennsylvania.
Khalid M Kamal1 Division of Pharmaceutical, Administrative and Social Sciences, Duquesne University School of Pharmacy, Pittsburgh, Pennsylvania.
Jordan R Covvey1 Division of Pharmaceutical, Administrative and Social Sciences, Duquesne University School of Pharmacy, Pittsburgh, Pennsylvania.
Vincent Giannetti1 Division of Pharmaceutical, Administrative and Social Sciences, Duquesne University School of Pharmacy, Pittsburgh, Pennsylvania.
Kumar Mukherjee2 Pharmacy Practice, Philadelphia College of Osteopathic Medicine, Suwanee, Georgia.
Duquesne University · USPhiladelphia College of Osteopathic Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic fibrosis (CF) is a chronic, progressive, genetic disease affecting more than 30,000 people in the United States and 70,000 people globally. The goals of treatment are to slow disease progression, reduce pulmonary exacerbations, relieve chronic symptoms, and improve the patient's quality of life. Lumacaftor/ivacaftor is a new therapy for CF that has demonstrated good clinical outcomes, including improved absolute percentage predicted forced expiratory volume in 1 second (FEV

objectivesTo (a) conduct a cost-effectiveness analysis (CEA) of lumacaftor/ivacaftor to understand the overall effectiveness of the drug compared with its costs and (b) conduct a budget impact analysis (BIA) to understand the potential financial effect of introducing a new drug in a health plan.

methodsTwo static decision models were developed using Microsoft Excel to evaluate the cost-effectiveness and budget impact of lumacaftor/ivacaftor over a 1-year time frame from a payer perspective. Model inputs included drug costs (wholesale acquisition costs), drug monitoring schedules (package inserts), drug monitoring costs (Centers for Medicare & Medicaid physician fee schedule and published literature), FEV

resultsThe annual cost of therapy per patient for lumacaftor/ivacaftor was $379,780. The ACER for lumacaftor/ivacaftor was $151,912, while the ICER for lumacaftor/ivacaftor compared with placebo was $95,016 per FEV

conclusionsIn patients with CF, lumacaftor/ivacaftor has demonstrated better clinical effectiveness compared with placebo alongside an increased drug acquisition cost. However, the therapy may be a viable alternative to existing standard therapy over a short time horizon. Health care payers, both private and public, need to evaluate the cost-effectiveness and the financial effect when considering expansion of new drug coverage in CF management. DISCLOSURES: No outside funding supported this study. Covvey and Kamal have received research funding from Novartis Pharmaceuticals. Covvey, Giannetti, and Kamal have received research funding from the College of Psychiatric and Neurologic Pharmacists. Kamal serves as a consultant to the Lynx Group (Cranbury, NJ) and Manticore Consulting Group (Scottsdale, AZ). Mukherjee has nothing to disclose. A related poster abstract was presented at the AMCP Managed Care & Specialty Pharmacy Annual Meeting; March 27-30, 2017; Denver, CO.

Indexed as

BudgetsDrug CostsAminophenolsAminopyridinesBenzodioxolesClinical Decision-MakingCost-Benefit AnalysisCystic FibrosisDecision Support TechniquesDrug CombinationsForced Expiratory VolumeHumansLungModels, EconomicQuality-Adjusted Life YearsQuinolonesAminophenolsAminopyridinesBenzodioxolesDrug Combinationslumacaftor, ivacaftor drug combinationQuinolonesRespiratory System Agents

Identifiers

PMID30247102
PMCPMC10397671
OpenAlexW2893954369

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.