Evidence map›Paper›PMID 37523105›Full record

ReviewCurrent neurology and neuroscience reports2023

Polypharmacy in Multiple Sclerosis: Prevalence, Risks, and Mitigation Strategies.

W Daniel Chapman, Megan C Herink, Michelle H Cameron, Dennis Bourdette

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

W Daniel Chapman *Department of Neurology, Oregon Health & Science University, Portland, OR, USA. wdanielchapman@gmail.com.ORCID 0000-0002-9565-7843
Megan C Herink *College of Pharmacy, Oregon Health & Science University/Oregon State University, Portland, OR, USA.
Michelle H CameronDepartment of Neurology, Oregon Health & Science University and VA Portland Health Care System, Portland, OR, USA.
Dennis BourdetteDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Oregon Health & Science University · USOregon State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewPolypharmacy, the use of ≥ 5 medications, is common in people with multiple sclerosis and is associated with negative outcomes. The use of multiple medications is common for symptom management in people with multiple sclerosis, but risks drug-drug interactions and additive side effects. Multiple sclerosis providers should therefore focus on the appropriateness and risks versus benefits of pharmacotherapy in each patient. This review describes the prevalence and risks associated with polypharmacy in people with multiple sclerosis and offers strategies to identify and mitigate inappropriate polypharmacy. RECENT

findingsResearch in people with multiple sclerosis has identified risk factors and negative outcomes associated with polypharmacy. Medication class-specific investigations highlight their contribution to potentially inappropriate polypharmacy in people with multiple sclerosis. People with multiple sclerosis are at risk for inappropriate polypharmacy. Multiple sclerosis providers should review medications and consider their appropriateness and potential for deprescribing within the context of each patient.

Indexed as

DeprescriptionsMultiple SclerosisHumansInappropriate PrescribingPolypharmacyPrevalenceAnticholinergic BurdenDeprescribingMultiple SclerosisPolypharmacySymptomatic Treatment

Identifiers

PMID37523105
OpenAlexW4385406796

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.