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Record W4288455360 · doi:10.1016/j.msard.2022.104080

Adherence and discontinuation rates in patients on Tecfidera™ (dimethyl fumarate): Long-term Canadian experience from the Biogen ONE™ support program

2022· article· en· W4288455360 on OpenAlexaffabout
Mattea Tan Thompson, Devonshire Virginia, Belviso Nick, Gillen Melissa, Noella Engineer, Changyu Shen, Scott Reedie

Bibliographic record

VenueMultiple Sclerosis and Related Disorders · 2022
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of British Columbia
FundersBiogen
KeywordsDimethyl fumarateDiscontinuationMedicineTerm (time)Multiple sclerosisFamily medicinePediatricsInternal medicinePhysical therapyPsychiatry

Abstract

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BACKGROUND: Tecfidera™ (dimethyl fumarate [DMF]; Biogen) is an oral disease-modifying therapy (DMT) indicated in Canada for the treatment of relapsing-remitting multiple sclerosis (MS). Biogen ONE™, an ongoing Canadian support program, facilitates access to DMF for patients with MS and maintains a database for the purposes of service provision. These data were utilized to assess adherence, persistence, discontinuations, and other outcomes between 2013 and 2021. METHODS: This non-interventional, retrospective study examined real-world use of DMF prescribed to patients with MS in Canada who were enrolled in the program and received their first dose between April 1, 2013, and June 30, 2021. Follow-up visits and laboratory monitoring occurred based on local standards and per the Canadian product monograph. For adherence and persistence assessments, patients must have had DMF dispensed by specialty pharmacies. Data were collected at patient enrollment, program exit, and throughout the duration of the program. The primary objective was to assess treatment adherence rates to DMF. Secondary objectives included treatment persistence rates, reasons for discontinuation, absolute lymphocyte counts (ALCs), and patient characteristics throughout the duration of the program. RESULTS: Overall, 12,608 DMF patients from the program were included between April 1, 2013, and June 30, 2021. At enrollment, mean (standard deviation [SD]) age was 40.6 (10.7) years and mean (SD) Expanded Disability Status Scale (EDSS) score was 2.2 (1.4). DMF was initiated as first-line DMT in 48.8% of patients. Of patients assessed (n = 6,848), 90.4% were adherent to DMF (based on medication possession ratio [MPR] ≥ 80%). Adherence (mean MPR) was marginally greater in DMT-naïve than switch patients, and in younger (< 40 years) than older (≥ 40 years) patients (both p < 0.001). Overall persistence on DMF at 24 months was 57.0%. Greater proportions of DMT-naïve patients persisted on DMF versus switch patients at all time points assessed. Persistence rates were comparable between female and male patients for up to 24 months, and between younger (< 40 years) and older (≥ 40 years) patients for up to 36 months. Older patients were more likely to discontinue for reasons related to lymphocytes (≥ 40 years, 16.1% vs. < 40 years, 6.1%) while efficacy reasons were reported with greater frequency in younger patients (≥ 40 years, 10.5% vs. < 40 years, 16.0%). Discontinuations due to gastrointestinal and flushing events occurred most frequently during the first month of treatment and decreased thereafter. Mean ALC decreased during the first year on treatment and subsequently plateaued. Over successive years, changes were observed in characteristics of patients starting on DMF, including decreases in EDSS score, age, and time since diagnosis. The proportion of DMT-naïve patients increased over the years (2013-2014, 26%-27%; 2018-2021, 62%-67%). CONCLUSIONS: High adherence was found in patients on DMF treatment within the Biogen support program with access to specialty pharmacies. The evolution of the patient population throughout the years suggests a shift towards earlier treatment. These real-world data may support the value of a support program in optimizing the management of patients on DMF treatment. Support programs provide personalized treatment monitoring, which can help minimize early discontinuations and improve adherence to treatment.

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.

How this classification was reachedexpand

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 score0.140
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.287
Teacher spread0.245 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2022
Admission routes2
Has abstractyes

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