Evidence map›Paper›PMID 35419061›Full record

ReviewJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2022

Multiple sclerosis-related fatigue lacks a unified definition: A narrative review.

Iman Adibi, Mehdi Sanayei, Farinaz Tabibian, Neda Ramezani, Ahmad Pourmohammadi, Kiarash Azimzadeh

Abstract readReview
In one paragraph

Review in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
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.

Iman AdibiDepartment of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mehdi SanayeiIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Farinaz TabibianIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Neda RamezaniIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Ahmad PourmohammadiIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Kiarash AzimzadehIsfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue is the most common symptom in multiple sclerosis (MS). Although MS-related fatigue (MS-F) strongly affects quality of life and social performance of patients, there is currently a lack of knowledge about its pathophysiology, which in turns leads to poor objective diagnosis and management. Recent studies have attempted to explain potential etiologies as well as treatments for MS-F. However, it seems that without a consensus on its nature, these data could not provide a route to a successful approach. In this Article, we review definitions, epidemiology, risk factors and correlated comorbidities, pathophysiology, assessment methods, neuroimaging findings, and pharmacological and nonpharmacological treatments of MS-F. Further studies are warranted to define fatigue in MS patients more accurately, which could result in precise diagnosis and management.

Indexed as

Diagnosisepidemiologyetiologyfatiguemultiple sclerosisneuroimagingphysiopathologyrisk factorstherapy

Identifiers

PMID35419061
PMCPMC8995308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.