Evidence map›Paper›PMID 33994780›Full record

ArticlePatient preference and adherence2021

Concordance Between Persons with Multiple Sclerosis and Treating Physician on Medication Effects and Health Status.

Efrat Neter, Lea Glass-Marmor, Loren Haiien, Ariel Miller

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Treatment Adherence in a Large Cohort of Turkish Multiple Sclerosis Population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  3. Article
  4. 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

4 authors at 3 institutions in 1 country.

Efrat NeterDepartment of Behavioral Sciences, Ruppin Academic Center, Emeq Hefer, Israel.ORCID 0000-0002-2162-0474
Lea Glass-MarmorMultiple Sclerosis Center & Department of Neurology, Carmel Medical Center, Haifa, Israel.
Loren HaiienMultiple Sclerosis Center & Department of Neurology, Carmel Medical Center, Haifa, Israel.
Ariel MillerMultiple Sclerosis Center & Department of Neurology, Carmel Medical Center, Haifa, Israel.
Carmel Medical Center · ILRuppin Academic Center · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the number of treatment options for multiple sclerosis (MS) has expanded, alignment between physician and patient on effects of medication has emerged as important for medication persistence/discontinuation.

objectiveTo evaluate physician-patient agreement levels on medication effect and health status.

methodsPersons with MS (PwMS) (n=71) participated in a cross-sectional study collecting their satisfaction (using the Treatment Satisfaction Questionnaire for Medication), intention to dis/continue treatment and global health perception; physicians assessed response to medication and global health status.

resultsConcordance between PwMS' assessment of medication effectiveness and physician's assessment on response to medication, health status and EDSS were

conclusionThe significant concordance attests to physician-patient effective communication and may contribute to improved medication adherence.

Indexed as

concordancedisease-modifying therapymultiple sclerosisparticipatory medicinepatient-centered approachpatient-reported outcomes

Identifiers

PMID33994780
PMCPMC8114576
OpenAlexW3159372180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.