Evidence map›Paper›PMID 36142112›Full record

ReviewInternational journal of environmental research and public health2022

Pedometers and Accelerometers in Multiple Sclerosis: Current and New Applications.

Jeffer Eidi Sasaki, Gabriel Felipe Arantes Bertochi, Joilson Meneguci, Robert W Motl

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025
    Review
  2. Article
  3. Rotational Power: A New Accelerometer-Derived Metric to Assess Functional Impairment in Multiple Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  4. Review
  5. 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 2 institutions in 2 countries.

Jeffer Eidi SasakiGraduate Program in Physical Education, Federal University of Triangulo Mineiro, Uberaba 38025-180, MG, Brazil.ORCID 0000-0002-2083-4104
Gabriel Felipe Arantes BertochiGraduate Program in Physical Education, Federal University of Triangulo Mineiro, Uberaba 38025-180, MG, Brazil.ORCID 0000-0002-4006-4207
Joilson MeneguciGraduate Program in Physical Education, Federal University of Triangulo Mineiro, Uberaba 38025-180, MG, Brazil.
Robert W MotlDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois Chicago, Chicago, IL 60612, USA.
Universidade Federal do Triângulo Mineiro · BRUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pedometers and accelerometers have become commonplace for the assessment of physical behaviors (e.g., physical activity and sedentary behavior) in multiple sclerosis (MS) research. Current common applications include the measurement of steps taken and the classification of physical activity intensity, as well as sedentary behavior, using cut-points methods. The existing knowledge and applications, coupled with technological advances, have spawned new opportunities for using those motion sensors in persons with MS, and these include the utilization of the data as biomarkers of disease severity and progression, perhaps in clinical practice. Herein, we discuss the current state of knowledge on the validity and applications of pedometers and accelerometers in MS, as well as new opportunities and strategies for the improved assessment of physical behaviors and disease progression, and consequently, personalized care.

Indexed as

ActigraphyMultiple SclerosisExerciseHumansSedentary BehaviorSeverity of Illness Indexassessmentmultiple sclerosisphysical activitysedentary behaviorwearable technology

Identifiers

PMID36142112
PMCPMC9517119
OpenAlexW4296460977

What OpenQuestion 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 OpenQuestion graph.