Evidence map›Paper›PMID 35481133›Full record

ArticleExploratory research in clinical and social pharmacy2021

Factors associated with oral fingolimod use over injectable disease- modifying agent use in multiple sclerosis.

Jagadeswara Rao Earla, George J Hutton, J Douglas Thornton, Hua Chen, Michael L Johnson, Rajender R Aparasu

Open access · goldAbstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2021. 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, top 95% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Jagadeswara Rao EarlaPharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
George J HuttonBaylor College of Medicine, Houston, TX, USA.
J Douglas ThorntonPharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
Hua ChenPharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
Michael L JohnsonPharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
Rajender R AparasuPharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
University of Houston · USBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fingolimod is the first approved oral disease-modifying agent (DMA) in 2010 to treat Multiple Sclerosis (MS). There is limited real-world evidence regarding the determinants associated with fingolimod use in the early years. Objective: The objective of this study was to examine the factors associated with fingolimod prescribing in the initial years after the market approval. Methods: A retrospective, longitudinal study was conducted involving adults (≥18 years) with MS from the 2010-2012 IBM MarketScan. Individuals with MS were selected based on ICD-9-CM: 340 and a newly initiated DMA prescription. Based on the index/first DMA prescription, patients were classified as fingolimod or injectable users. All covariates were measured during the six months baseline period prior to the index date. Multivariable logistic regression was performed to determine the predisposing, enabling, and need factors, conceptualized as per the Andersen Behavioral Model (ABM), associated with prescribing of fingolimod versus injectable DMA for MS. Results: The study cohort consisted of 3118 MS patients receiving DMA treatment. Of which, 14.4% of patients with MS initiated treatment with fingolimod within two years after the market entry, while the remaining 85.6% initiated with injectable DMAs. Multivariable regression revealed that the likelihood of prescribing oral DMA increased by 2-3 fold during 2011 and 2012 compared to 2010. Patients with ophthalmic (adjusted odds ratio [aOR]-2.60), heart (aOR-2.21) and urinary diseases (aOR-1.37) were more likely to receive fingolimod. Patients with other neurological disorders (aOR-0.50) were less likely to receive fingolimod than those without neurological disorders. Use of symptomatic medication (for impaired walking (aOR-2.60), bladder dysfunction (aOR-1.54), antispasmodics (aOR-1.48), and neurologist consultation (aOR-1.81) were associated with higher odds of receiving fingolimod. However, patients with non-MS associated emergency visits (aOR-0.64) had lower odds of receiving fingolimod than those without emergency visits. Conclusions: During the initial years after market approval, patients with highly active MS were more likely to receive oral fingolimod than injectable DMAs. More research is needed to understand the determinants of newer oral DMAs.

Indexed as

ABM, The Andersen Behavioral ModelAHRQ, Agency for Healthcare Research and QualityAOR, Adjusted Odds RatioAV, AtrioventricularCCS, Clinical Classification SystemCDHP, Consumer Directed Health PlanCLD, Chronic Lung DiseaseDisease modifying agent (DMA)DMA, Disease-modifying agentDME, Durable Medical EquipmentED, Emergency DepartmentEDSS, Expanded Disability Status ScoreEPO, Exclusive Provider OrganizationFDA, Food and Drug AdministrationFIN, FingolimodFingolimodHCPCS, The Healthcare Common Procedure Coding SystemHDHP, High Deductible Health PlanHMO, Health Maintenance OrganizationICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical ModificationInjectable DMAINJ, Injectable DMAsMRI, Magnetic Resonance ImagingMS, Multiple SclerosisMultiple sclerosisNDC, National Drug CodeOral DMAPOS, Point-of-servicePPO, Preferred Provider OrganizationSD, Standard DeviationTreatment selection

Identifiers

PMID35481133
PMCPMC9031432
OpenAlexW3157997408

What OpenQuestion holds

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LicenceCC BY
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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.