Evidence map›Paper›PMID 34191394›Full record

ArticleEuropean journal of heart failure2021

Ferric carboxymaltose for the treatment of iron deficiency in heart failure: a multinational cost-effectiveness analysis utilising AFFIRM-AHF.

Phil McEwan, Piotr Ponikowski, Jason A Davis, Giuseppe Rosano, Andrew J S Coats, Fabio Dorigotti, Donal O'Sullivan, Antonio Ramirez de Arellano, Ewa A Jankowska

Open access · hybridAbstract read
In one paragraph

Article in European journal of heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Iron Deficiency in Heart Failure: A Korea-Oriented Review.International journal of heart failure · 2023
    Review
  7. Article
  8. Review
  9. The role of iron deficiency in heart failure.European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Cost-effective benefit of iron-replacement therapy.Nature reviews. Cardiology · 2021
    Article
  14. 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

9 authors at 5 institutions in 3 countries.

Phil McEwanHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Piotr PonikowskiDepartment of Heart Diseases, Wrocław Medical University, Wrocław, Poland.
Jason A DavisHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Giuseppe RosanoCardiovascular and Cell Sciences Research Institute, St George's University, London, UK.
Andrew J S CoatsUniversity of Warwick, Warwick, UK.
Fabio DorigottiVifor Pharma, Glattbrugg, Switzerland.
Donal O'SullivanVifor Pharma, Glattbrugg, Switzerland.
Antonio Ramirez de ArellanoVifor Pharma, Glattbrugg, Switzerland.
Ewa A JankowskaDepartment of Heart Diseases, Wrocław Medical University, Wrocław, Poland.
Vifor Pharma (Switzerland) · CHHealth Economics and Outcomes Research (United Kingdom) · GBWroclaw Medical University · PLSt George's, University of London · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIron deficiency is common in patients with heart failure (HF). In AFFIRM-AHF, ferric carboxymaltose (FCM) reduced the risk of hospitalisations for HF (HHF) and improved quality of life vs. placebo in iron-deficient patients with a recent episode of acute HF. The objective of this study was to estimate the cost-effectiveness of FCM compared with placebo in iron-deficient patients with left ventricular ejection fraction <50%, stabilised after an episode of acute HF, using data from the AFFIRM-AHF trial from Italian, UK, US and Swiss payer perspectives. METHODS AND

resultsA lifetime Markov model was built to characterise outcomes in patients according to the AFFIRM-AHF trial. Health states were defined using the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12). Subsequent HHF were incorporated using a negative binomial regression model with cardiovascular and all-cause mortality incorporated via parametric survival analysis. Direct healthcare costs (2020 GBP/USD/EUR/CHF) and utility values were sourced from published literature and AFFIRM-AHF. Modelled outcomes indicated that treatment with FCM was dominant (cost saving with additional health gains) in the UK, USA and Switzerland, and highly cost-effective in Italy [incremental cost-effectiveness ratio (ICER) EUR 1269 per quality-adjusted life-year (QALY)]. Results were driven by reduced costs for HHF events combined with QALY gains of 0.43-0.44, attributable to increased time in higher KCCQ states (representing better functional outcomes). Sensitivity and subgroup analyses demonstrated data robustness, with the ICER remaining dominant or highly cost-effective under a wide range of scenarios, including increasing treatment costs and various patient subgroups, despite a moderate increase in costs for de novo HF and smaller QALY gains for ischaemic aetiology.

conclusionFerric carboxymaltose is estimated to be a highly cost-effective treatment across countries (Italy, UK, USA and Switzerland) representing different healthcare systems.

Indexed as

Heart FailureIron DeficienciesCost-Benefit AnalysisFerric CompoundsHumansMaltoseQuality of LifeStroke VolumeVentricular Function, Leftferric carboxymaltoseFerric CompoundsMaltoseCost-effectivenessFerric carboxymaltoseHeart failureIron deficiency

Identifiers

PMID34191394
PMCPMC8596684
OpenAlexW3177494362

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.