Evidence map›Paper›PMID 33530652›Full record

ArticleInternational journal of environmental research and public health2021

Reflections on the Importance of Cost of Illness Analysis in Rare Diseases: A Proposal.

Patrizio Armeni, Marianna Cavazza, Entela Xoxi, Domenica Taruscio, Yllka Kodra

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Literature Review on Health Emigration in Rare Diseases-A Machine Learning Perspective.International journal of environmental research and public health · 2023
    Review
  8. 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.

Patrizio ArmeniCergas (Centre for Research on Health and Social Care Management), SDA Bocconi School of Management, 20136 Milan, Italy.
Marianna CavazzaCergas (Centre for Research on Health and Social Care Management), SDA Bocconi School of Management, 20136 Milan, Italy.
Entela XoxiIndependent Pharmacologist Scientific Advisor in Rare Disease Pharmaceuticals and Registries, 00184 Rome, Italy.ORCID 0000-0003-0904-9225
Domenica TaruscioNational Centre for Rare Diseases, Istituto Superiore di Sanità, 00162 Rome, Italy.ORCID 0000-0001-5403-233X
Yllka KodraNational Centre for Rare Diseases, Istituto Superiore di Sanità, 00162 Rome, Italy.ORCID 0000-0002-6904-7451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of rare diseases (RDs), the evidence standard is often lower than that required by health technology assessment (HTA) and payer authorities. In this commentary, we propose that appropriate economic evaluation for rare disease treatments should be initially informed by cost-of-illness (COI) studies conducted using a societal perspective. Such an approach contributes to improving countries' understanding of RDs in their entirety as societal and not merely clinical, or product-specific issues. In order to exemplify how the disease burden's distribution has changed over the last fifteen years, key COI studies for Hemophilia, Fragile X Syndrome, Cystic Fibrosis, and Juvenile Idiopathic Arthritis are examined. Evidence shows that, besides methodological variability and cross-country differences, the disease burden's share represented by direct costs generally grows over time as novel treatments become available. Hence, to support effective decision-making processes, it seems necessary to assess the re-allocation of the burden produced by new medicinal products, and this approach requires identifying cost drivers through COI studies with robust design and standardized methodology.

Indexed as

Cost of IllnessCystic FibrosisCost-Benefit AnalysisHumansRare DiseasesTechnology Assessment, Biomedicalcost of illnesshealth technology assessmentrare diseasessocial economic burden

Identifiers

PMID33530652
PMCPMC7908548

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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.