ArticleTherapeutic advances in chronic disease2022
Associated factors of potential drug-drug interactions and drug-food interactions in patients with multiple sclerosis.
Article in Therapeutic advances in chronic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Nabiximols in Multiple Sclerosis: Beyond Spasticity-An Exploratory Systematic Review and Meta-Analysis of Symptomatic Outcomes.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Polypharmacy, Potential Drug-Drug Interactions and Medication Non-Adherence in Patients with Multiple Sclerosis: A Longitudinal Study.Neurology and therapy · 2026Article
- Aging with multiple sclerosis and associated prevalence, incidence, comorbidities and healthcare utilization patterns in a population based study.Scientific reports · 2026Article
- Cost patterns of long-term prescribed medications in patients with multiple sclerosis in Germany.Scientific reports · 2025Article
- Age-related differences in switching highly effective disease-modifying therapy in patients with multiple sclerosis.Journal of neurology · 2025Article
- Managing multiple sclerosis in individuals aged 55 and above: a comprehensive review.Frontiers in immunology · 2024Review
- Potential adverse events associated with sphingosine-1-phosphate (S1P) receptor modulators in patients with multiple sclerosis: an analysis of the FDA adverse event reporting system (FAERS) database.Frontiers in pharmacology · 2024Article
- Update and Application of a Deep Learning Model for the Prediction of Interactions between Drugs Used by Patients with Multiple Sclerosis.Pharmaceutics · 2023Article
- Polypharmacy in Multiple Sclerosis: Prevalence, Risks, and Mitigation Strategies.Current neurology and neuroscience reports · 2023Review
- Impact of aging on treatment considerations for multiple sclerosis patients.Frontiers in neurology · 2023Review
- Knowledge of Drug-Food Interactions Among Healthcare Professionals Working in Public Hospitals in Ethiopia.Journal of multidisciplinary healthcare · 2022Article
- Screening for severe drug-drug interactions in patients with multiple sclerosis: A comparison of three drug interaction databases.Frontiers in pharmacology · 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
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug-drug interactions (pDDIs) and potential drug-food interactions (pDFIs) as they take numerous medications to treat MS, associated symptoms and comorbidities. Knowledge about pDDIs and pDFIs can increase treatment success and reduce side effects. Objective: We aimed at determining the frequency and severity of pDDIs and pDFIs in PwMS, with regard to polypharmacy. Methods: In the cross-sectional study, we analysed pDDIs and pDFIs of 627 PwMS aged ⩾18 years. Data collection was performed through patient record reviews, clinical examinations and structured patient interviews. pDDIs and pDFIs were identified using two DDI databases: Results: We identified 2587 pDDIs (counted with repetitions). Of 627 PwMS, 408 (65.1%) had ⩾ 1 pDDI. Polypharmacy (concomitant use of ⩾ 5 drugs) was found for 334 patients (53.3%). Patients with polypharmacy (Pw/P) were found to have a 15-fold higher likelihood of having ⩾ 1 severe pDDI compared with patients without polypharmacy (Pw/oP) (OR: 14.920, Conclusion: Pw/P were particularly at risk of severe pDDIs. Age and educational level were found to be factors associated with the occurrence of pDDIs, independent of the number of medications taken. Screening for pDDIs/pDFIs should be routinely done by the clinical physician to increase drug safety and reduce side effects.
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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.