Evidence map›Paper›PMID 39240831›Full record

ArticlePloS one2024

A cost analysis of Machado-Joseph's disease (MJD).

Cristiane da Silva, Marco Tulio Aniceto França, Giácomo Balbinotto Neto

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Cristiane da SilvaPolytechnic School, Undergraduate Academic Unit, University of Vale do Rio dos Sinos, São Leopoldo, Rio Grande do Sul, Brazil.ORCID 0000-0001-9272-4564
Marco Tulio Aniceto FrançaDepartment of Economics, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Giácomo Balbinotto NetoDepartment of Economics, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rare disease is that with a low prevalence in the population. However, it is estimated that there are between 6,000 and 8,000 different types of rare diseases in the world and, generally, they are incurable and deadly. Machado-Joseph's disease (MJD) is one of these cases; of genetic origin, autosomal dominant, with a high chance of transmission between generations and without curative treatment. Given the specificities of MJD and the lack of economic studies associated with it, this article aims to estimate the direct and indirect health-related costs of lost productivity attributable to Machado-Joseph's Disease. The data used were primarily collected at the Hospital de Clínicas de Porto Alegre (HCPA), during the period between October 2019 and March 2020. The bottom-up cost methodology was used, that is to say, to estimate costs across a sample of patients to produce an annual cost per patient. Among the main results, it was found that 90.8% of the sample does not work and of these, 72.73% reported that the reason they had stopped working was due to Machado-Joseph's disease. The average age of men when they stopped working was 39.05 years of age and for women it was 39.64 years of age. In relation to direct non-medical costs, with rehabilitation and transport, it was found that these items affect about 32% of men's income and 36% of women's income, as well as medication and diapers costs affect about 15% of women's income and 14% of the income of men who are no longer able to work. The study also showed that 50% of caregivers, who are generally close relatives of the patient, do not work. Of these, 33.3% reported having left the labor market to provide assistance to the patient, which means that the cost for families is even higher than that estimated for the patient.

Indexed as

Machado-Joseph DiseaseAdultCost of IllnessCosts and Cost AnalysisFemaleHealth Care CostsHumansMaleMiddle AgedYoung Adult

Identifiers

PMID39240831
PMCPMC11379189

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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.