ArticleClinical drug investigation2020
Direct Medical Costs of Spinal Muscular Atrophy in the Catalonia Region: A Population-Based Analysis.
Article in Clinical drug investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 4 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Systematic Literature Review of Clinical and Economic Evidence for Spinal Muscular Atrophy.Advances in therapy · 2022Pooled it
- Systematic Literature Review to Assess the Cost and Resource Use Associated with Spinal Muscular Atrophy Management.PharmacoEconomics · 2022Pooled it
- Costs of Illness of Spinal Muscular Atrophy: A Systematic Review.Applied health economics and health policy · 2021Pooled it
- Systematic literature review of the economic burden of spinal muscular atrophy and economic evaluations of treatments.Orphanet journal of rare diseases · 2021Pooled it
- Review
- Spinal muscular atrophy carrier frequency in Saudi Arabia.Molecular genetics & genomic medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpinal muscular atrophy (SMA) is a rare disorder, estimated to affect 1 per 10,000 live births. Patients affected with SMA often require intensive, chronic healthcare, which represents great social and economic costs.
objectiveThis study aimed to evaluate the direct medical costs of SMA, from the National Health System perspective in Catalonia, and provide regional data for the development of optimal disease management protocols and resource allocation decisions at the regional level.
methodsA retrospective, population-based study was designed based on admission records from primary care centres, hospitals and specialised care settings (inpatient and outpatient care), emergency services and extended care facilities obtained from a regional governmental claims database.
resultsA total of 396 patients met the inclusion criteria. Annual direct medical costs summed €58,606 per patient, taking into account the use of healthcare resources at all levels of care and excluding the cost of prescription medication. Specialised care represented 81% of the expenses that were mostly associated with respiratory manifestations of SMA. In the year 2016, 71.26% of patients with SMA had four or more systems affected by a chronic condition, versus 23.50% in the general population, which had an impact on healthcare use.
conclusionsInpatient extended care and the increased presence of multimorbid chronic conditions in patients with SMA must be taken into account in order to develop multidisciplinary treatment protocols that reflect the complexity of SMA. Forthcoming resource allocation decisions should reflect the intensive use of specialised care registered in patients with SMA.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.