Evidence map›Paper›PMID 38706524›Full record

ArticleGlobal & regional health technology assessment

Costs and benefits in patients with NYHA class III heart failure treated with CardioMEMS in Italy.

Andrea Messori, Maria Rita Romeo, Valeria Fadda, Francesca Collini, Sabrina Trippoli

Abstract read
In one paragraph

Article in Global & regional health technology assessment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Andrea MessoriCentro Operativo HTA, Regione Toscana, Firenze - Italy.
Maria Rita RomeoCentro Operativo HTA, Regione Toscana, Firenze - Italy.ORCID https://orcid.org/0000-0002-9124-9527
Valeria FaddaCentro Operativo HTA, Regione Toscana, Firenze - Italy.ORCID https://orcid.org/0000-0002-5048-8812
Francesca ColliniCentro Operativo HTA, Regione Toscana, Firenze - Italy.ORCID https://orcid.org/0009-0006-0379-7619
Sabrina TrippoliCentro Operativo HTA, Regione Toscana, Firenze - Italy.ORCID https://orcid.org/0000-0003-3050-0105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: CardioMEMS is a device suitable for telemedicine that is currently being evaluated by the Regional Health Technology Assessment (HTA) Committee of Tuscany. Two detailed HTA reports are available in the specialized literature, the results of which need to be transferred to our regional setting. These decisions in Tuscany are made by the so-called Centro Operativo HTA. Aim: To validate, with local cost-effectiveness data, the decision on CardioMEMS that will be made in the Tuscany region. Methods: Two detailed international HTA reports were rearranged and adapted to our regional setting to generate a simplified analysis that could form the basis of our decision. Two willingness-to-pay (WTP) thresholds of €20,000/quality-adjusted life year (QALY) and €50,000/QALY were considered. Results: Based on epidemiological and regulatory information, the target population in Tuscany for this device is 166 cases. The value-based price of CardioMEMS is estimated to be €4,332 and €16,662 at WTP thresholds of 20,000/QALY and 50,000/QALY, respectively. Its current price in Italy is €12,000. Conclusion: In our region, the introduction of CardioMEMS is likely to be gradual, around 50 patients/year (or €0.60 million/year at current price). This example highlights the need to adapt the information published in the international literature to the local context in which the approval decision is made. In this context, simplified analyses are easier to apply than complex Markov models.

Indexed as

Heart failureMitraClipNYHA classTelemedicineValue-based price

Identifiers

PMID38706524
PMCPMC11067868

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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.