Evidence map›Paper›PMID 31133051›Full record

ArticleBiology of sex differences2019

Polypharmacy in patients with multiple sclerosis: a gender-specific analysis.

Niklas Frahm, Michael Hecker, Uwe Klaus Zettl

Open access · goldAbstract read
In one paragraph

Article in Biology of sex differences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Polypharmacy and multiple sclerosis: A population-based study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
    Article
  8. Article
  9. Article
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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 1 institution in 1 country.

Niklas FrahmDepartment of Neurology, Neuroimmunology Section, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany. niklas-frahm@gmx.de.ORCID 0000-0002-4655-774X
Michael HeckerDepartment of Neurology, Neuroimmunology Section, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany.ORCID 0000-0001-7015-3094
Uwe Klaus ZettlDepartment of Neurology, Neuroimmunology Section, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany.
University of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) affects about three times more women than men. Due to variable MS courses, multiple therapies are necessary in clinical practice.

objectiveWe aimed at conducting sex-specific analyses of MS patients regarding polypharmacy (≥ 5 drugs) and at identifying differences in the medication spectrum.

methodsClinico-demographic data were gathered from 306 patients using clinical examinations, structured patient interviews, and patient records. Statistical data analyses were performed to evaluate whether the same or different factors are associated with polypharmacy in both genders.

resultsWomen (N = 218) and men (N = 88) showed similar polypharmacy rates (56.0% vs. 58.0%; p = 0.799). For both genders, higher age, severe disability degrees, comorbidities, and inpatient treatment were significantly associated with a higher polypharmacy risk. Low educational levels were predictors of polypharmacy only in women. Fampridine (p < 0.021) and antispasmodics (p < 0.010) were used more often by men, while women took more frequently thyroid medications (p < 0.001) and contraceptives (p < 0.001). The age-related increase in medication use was much stronger in women (p < 0.001).

conclusionMale and female MS patients with older age, comorbidities, higher disability degree, and inpatient treatment are at greater risk of polypharmacy. Future studies should examine the occurrence of clinically relevant drug interactions in MS patients stratified by sex.

Indexed as

PolypharmacySex CharacteristicsAdultAgedAged, 80 and overAge FactorsComorbidityDisability EvaluationDrug UtilizationEducational StatusFemaleHumansMaleMiddle AgedMultiple SclerosisYoung AdultComorbidityConcomitant drugsGenderMedication managementMultiple sclerosisPatient carePolypharmacy

Identifiers

PMID31133051
PMCPMC6537438
OpenAlexW2946973881

What OpenQuestion holds

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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.