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Record W3209696856 · doi:10.1007/s12325-021-01938-w

Nusinersen for Spinal Muscular Atrophy in the United States: Findings From a Retrospective Claims Database Analysis

2021· article· en· W3209696856 on OpenAlex
Marjolaine Gauthier‐Loiselle, Martin Cloutier, W. Toro, Anish Patel, Sherry Shi, M. Davidson, Matthias Bischof, Nicole LaMarca, Omar Dabbous

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsSMA*Spinal muscular atrophyMedicineDiscontinuationNeuromuscular diseaseRetrospective cohort studyWeaknessRegimenInternal medicinePediatricsPhysical therapySurgeryDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: Spinal muscular atrophy (SMA) is a rare, genetic neuromuscular disorder caused by deletion/mutation of the survival motor neuron 1 gene, characterized by progressive loss of motor neurons, resulting in increasing muscular weakness, deteriorating motor function, and, in its most severe form, death before 2 years. Nusinersen, an antisense oligonucleotide that increases expression of the functional SMN protein, was approved for SMA by US and European regulatory agencies in 2016 and 2017, respectively. The indicated regimen requires intrathecal injections every 4 months, following the first four injections during the loading phase. Adherence is integral to treatment success. Adherence to nusinersen may pose particular challenges as most patients with SMA are young children who require complex multidisciplinary care (including ongoing intrathecal treatment administration and potential specialized anesthetic and surgical procedures) at specialized centers. However, real-world data on adherence to nusinersen are limited. METHODS: We conducted a retrospective claims database analysis from December 23, 2016, to November 20, 2019, to study nusinersen adherence and discontinuation/persistence in US patients with SMA types 1-3 who completed the loading phase, and to determine the impact of non-adherence or treatment discontinuation on SMA-related comorbidities, health care resource utilization (HCRU), and costs. RESULTS: We identified 23 patients with SMA type 1, 41 patients with SMA type 2, and 260 patients with SMA type 3 who had completed the loading phase. Deviations from the indicated nusinersen treatment schedule were frequent in real-world usage, with most patients receiving ≥1 dose outside the scheduled interval. Across SMA types, non-adherent patients were more likely to have had SMA-related comorbidities (e.g., feeding difficulties, dyspnea and respiratory anomalies, and muscle weakness) and greater HCRU. Persistence rates 12 months after treatment initiation for patients with SMA types 1, 2, and 3 were 55.2%, 42.4%, and 54.6%, respectively. Patients who discontinued nusinersen and those who did not had generally similar comorbidity profiles. Discontinuation was associated with greater health care costs across SMA types. CONCLUSION: Our analysis of claims data indicated that discontinuation and non-adherence to nusinersen treatment were prevalent, and associated with greater frequency of comorbidities, greater HCRU, and increased costs for patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.369
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it