Evidence map›Paper›PMID 38615277›Full record

ReviewJournal of neurology2024

Early use of high-efficacy therapies in multiple sclerosis in the United States: benefits, barriers, and strategies for encouraging adoption.

Barry A Singer, Jenny Feng, Horacio Chiong-Rivero

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 24 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

3 authors at 3 institutions in 1 country.

Barry A SingerThe MS Center for Innovations in Care, Missouri Baptist Medical Center, St Louis, MO, USA. drbarrysinger@gmail.com.ORCID http://orcid.org/0000-0001-6875-7374
Jenny FengOchsner Medical Center, New Orleans, LA, USA.ORCID http://orcid.org/0000-0003-3700-7823
Horacio Chiong-RiveroJohn Peter Smith Hospital, Fort Worth, TX, USA.ORCID http://orcid.org/0000-0001-5233-7754
John Peter Smith Hospital · USMissouri Baptist Medical Center · USOchsner Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is characterized by progressive neuroinflammation and neurodegeneration from disease onset that, if left untreated, can result in the accumulation of irreversible neurological disability. Early intervention with high-efficacy therapies (HETs) is increasingly recognized as the best strategy to delay or mitigate disease progression from the earliest stages of the disease and to prevent long-term neurodegeneration. Although there is growing clinical and real-world evidence supporting early HET intervention, foregoing this strategy in favor of a traditional escalation approach prioritizing lower-efficacy disease-modifying therapies remains a common approach in clinical practice. This review explores potential health care professional- and patient-related barriers to the early use of HETs in patients with MS in the United States. Barriers can include regulatory and reimbursement restrictions; knowledge gaps and long-term safety concerns among health care professionals; and various individual, cultural, and societal factors affecting patients. Potential strategies for overcoming these barriers and encouraging early HET use are proposed.

Indexed as

Multiple SclerosisEarly Medical InterventionHumansUnited StatesDisease-modifying therapiesHealth care professionalsHigh-efficacy therapiesMultiple sclerosisShared decision-makingUnited States

Identifiers

PMID38615277
PMCPMC11136864
OpenAlexW4394791063

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.