Evidence map›Paper›PMID 40110484›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Evaluation of patient-perceived fatigue in multiple sclerosis utilizing the Finnish MS registry.

Päivi Hämäläinen, Matias Viitala, Merja Soilu-Hänninen, Hanna Kuusisto, Marja Niiranen, Sari Avikainen, Juha Puustinen, Juhani Ruutiainen, Mervi Ryytty, Henrik Ahvenjärvi and 2 more

Abstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

12 authors.

Päivi HämäläinenStellarQ Ltd, Turku, Finland.ORCID https://orcid.org/0000-0002-9020-4650
Matias ViitalaStellarQ Ltd, Turku, Finland.ORCID https://orcid.org/0000-0003-2854-2410
Merja Soilu-HänninenTurku University Hospital Neurocenter and Division of Clinical Neurosciences, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0001-6930-0229
Hanna KuusistoTampere University Hospital, Department of Neurology, Tampere, Finland.ORCID https://orcid.org/0000-0002-3697-4961
Marja NiiranenNeuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland.
Sari AvikainenDepartment of Neurology, Nova hospital in Central Finland, Jyväskylä, Finland.
Juha PuustinenSatasairaala Central Hospital, Unit of Neurology, Satakunta Wellbeing Services County, Pori, Finland.
Juhani RuutiainenFinnish Neuro Society, Masku, Finland.
Mervi RyyttyMedical Research Center and Neurocenter, Oulu University Hospital, Oulu, Finland.
Henrik AhvenjärviResearch Unit of Clinical Medicine, Neurology, University of Oulu, Finland.ORCID https://orcid.org/0000-0003-3641-3504
Carl BjörkholmJanssen-Cilag AB Sweden.
Annika HultenJanssen-Cilag Oy Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To characterize patient-perceived fatigue by using the Finnish Multiple Sclerosis (MS) registry data. Materials & Methods: Fatigue was assessed with the Fatigue Severity Scale (FSS), the Fatigue Scale for Motor and Cognitive Functions (FSMC), and the Visual Analogue Scale-Fatigue. Disease severity was evaluated with the Expanded Disability Status Scale and symptoms with the Visual Analogue Scales. Patient reported outcomes (PROs) included the Multiple Sclerosis Neuropsychological Questionnaire, the Euro Quality of Life - 5 dimensions, the 15 D, and the Multiple Sclerosis Impact Scale. For the purposes of the study, patients were classified to those without (FSS ≤ 4) and those with (FSS ≥ 5) fatigue. The FSS scores were correlated with the results of other PROs. Results: Based on the 512 FSS scores, 47% of the patients reported fatigue (FSS ≥ 5). Fatigue was related to higher disability, lower education, and smoking. FSS correlated significantly with other measures of fatigue, cognitive, and mood symptoms, and was associated with lower Quality of Life. Conclusions: As an invisible and debilitating symptom fatigue should be evaluated systematically. In the screening, it is important to recognize the characteristics of the different scales. Whereas the FSS may serve as an overall screen, the FSMC may help to identify aspects of cognitive and motor fatigue separately.

Indexed as

digital patient monitoringfatiguemultiple sclerosispatient-generated datapatient reported outcomesregistry data

Identifiers

PMID40110484
PMCPMC11920993

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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.