Evidence mapPaperPMID 35206387Full record

ReviewInternational journal of environmental research and public health2022

Adherence to Therapy in Patients with Multiple Sclerosis-Review.

Aleksandra Kołtuniuk, Justyna Chojdak-Łukasiewicz

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2022. 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
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

27 citing papers in PubMed.

  1. Cost-effectiveness analysis of the MYO ArmbandJournal of neuroengineering and rehabilitation · 2025
    Trial
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  6. Review
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  9. Multiomics integration prioritizes potential drug targets for multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Cladribine tablets in the new multiple sclerosis era.Therapeutic advances in neurological disorders · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Medication self-management toolkits for adults with multiple sclerosis: A scoping review.Exploratory research in clinical and social pharmacy · 2023
    Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Aleksandra KołtuniukDivision of Internal Medicine Nursing, Faculty of Health Sciences, Wroclaw Medical University, Bartla 5, 51-618 Wroclaw, Poland.ORCID 0000-0002-4377-5987
Justyna Chojdak-ŁukasiewiczDepartment of Neurology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-0777-4565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic, autoimmune, demyelinating disease of the central nervous system (CNS). MS is an incurable disease. The goal of disease-modifying therapies (DMT) is to slow the progression of the disease, prevent relapses and increase the patient's overall quality of life. According to the World Health Organisation definition, adherence means the extent to which a person's medication-taking behaviour corresponds with the agreed upon treatment recommendations from a healthcare provider. Accurate adherence is necessary for efficient treatment. Non-adherence is related to unsuccessful treatments, the risk of relapses and increased healthcare costs. The aim of this study is to present the main factors relating to non-adherence in MS patients.

Indexed as

Multiple SclerosisHumansMedication AdherenceQuality of LifeRecurrenceadherencedisease-modifying therapymedicationmultiple sclerosisnon-adherence

Identifiers

PMID35206387
PMCPMC8872308

What Socratic 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 Socratic graph.