Evidence map›Paper›PMID 25905471›Full record

ArticleNeurological research2015

Medication use in a large international sample of people with multiple sclerosis: associations with quality of life, relapse rate and disability.

George A Jelinek, Tracey J Weiland, Emily J Hadgkiss, Claudia H Marck, Naresh Pereira, Dania M van der Meer

Abstract read
In one paragraph

Article in Neurological research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Polypharmacy and multiple sclerosis: A population-based study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
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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

6 authors.

George A Jelinek
Tracey J Weiland
Emily J Hadgkiss
Claudia H Marck
Naresh Pereira
Dania M van der Meer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine associations between medication use and health-related quality of life (HRQOL), relapse rate and disability in an international cohort of people with multiple sclerosis (PwMS).

methodsUsing Web 2.0 platforms, the authors recruited PwMS who completed survey items on demographics, medication use, HRQOL, relapse rate and disability.

resultsOf 2276 respondents from 56 countries, approximately half were taking a disease-modifying drug (DMD), most commonly glatiramer acetate or an interferon. Use of DMDs was not consistently associated with HRQOL. Individually, glatiramer acetate was associated with better HRQOL when compared with other DMDs or no DMD use. Overall, DMD use was neither associated with disability nor lower relapse rate, although those taking a DMD >12 months had 23.9% fewer relapses than those not taking a DMD. Polypharmacy, defined as those taking five or more over the counter, prescription or herbal medications, irrespective of DMD use, was associated with markedly worse HRQOL across all domains. DISCUSSION: There was no consistent association of DMD use with better health outcomes in this large international \sample of PwMS, although relapse rate appears lower for those taking a DMD for >12 months. Glatiramer acetate had associations with better HRQOL compared with other DMDs.

Indexed as

Quality of LifeAdolescentAdultCohort StudiesDisability EvaluationFemaleGlatiramer AcetateHumansImmunologic FactorsInterferonsInternationalityInternetMaleMiddle AgedMultiple SclerosisPolypharmacyGlatiramer AcetateImmunologic FactorsInterferonsDisabilityDisease-modifying drugs,Health-related quality of life,Medications,Multiple sclerosis,Relapse rate,

Identifiers

PMID25905471
PMCPMC4507477

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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.