Evidence map›Paper›PMID 31413843›Full record

ArticleOpen heart

Budget impact analysis of PCSK9 inhibitors costs from a community payers' perspective in Apulia, Italy.

Natale Daniele Brunetti, Luisa De Gennaro, Lucia Tricarico, Pasquale Caldarola

Abstract read
In one paragraph

Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

4 authors.

Natale Daniele BrunettiUniversità degli Studi di Foggia, Foggia, Italy.ORCID 0000-0001-9610-7408
Luisa De GennaroPresidio Ospedaliero San Paolo, Bari, Italy.
Lucia TricaricoUniversità degli Studi di Foggia, Foggia, Italy.
Pasquale CaldarolaPresidio Ospedaliero San Paolo, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite established clinical efficacy of PCSK9 inhibitors (PCSK9i) in reducing cardiovascular events, their cost still represents a big matter of debate. We therefore sought to estimate possible impact of PCSK9i therapy from a community taxpayers' perspective with a budget impact analysis based on data coming from two randomised trials (FOURIER (Further Cardiovascular Outcomes Research with PCSK9 Inhibition in Subjects with Elevated Risk), ODYSSEY OUTCOMES (Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab)). Methods: The analysis focused on Apulia region, South-Eastern Italy (4 million inhabitants). Costs per cardiovascular event saved were calculated from randomised trials data and annually indexed per Apulia's inhabitants. Results: On the base of actual cost in Apulia, individual costs per saved adverse event ranged from €0.12 to €0.78, with just €1 annually spent per Apulia's inhabitant, 2-8.3 events could be avoided thanks to the use of PCSK9i.When considering high-risk subgroups (baseline cholesterol levels >100 mg/dL, multivessel coronary disease), the annual cost per Apulia's inhabitant for one death avoided was more than halved to €0.19 and the cost for a saved major adverse cardiovascular event was €0.07. With €1 annually spent per Apulia's inhabitant, 10.9-15 major adverse cardiovascular events and 5.3 deaths could be saved. Conclusions: When considered from a large taxpayers' community perspective, relevant costs per cardiovascular event saved with PCSK9i may turn into very small individual costs per year. The selection of high-risk subgroups may further reduce individual costs.

Indexed as

alirocumabcost analysisevolocumabPCSK9

Identifiers

PMID31413843
PMCPMC6667935

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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.