Evidence map›Paper›PMID 35612658›Full record

ReviewJournal of neurology2022

Measurement of upper limb function in ALS: a structured review of current methods and future directions.

C D Hayden, B P Murphy, O Hardiman, D Murray

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07298486 (Impact of Robotic Glove Use on Quality of Life, Grip Strength and Fine Motor Control in ALS), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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.

NCT07298486 naenrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Impact of Robotic Glove Use on Quality of Life, Grip Strength and Fine Motor Control in ALS: A Pilot Study

TypeinterventionalSponsorNova Southeastern UniversityRan2026 to 2026Enrolled5ConditionsAmyotrophic Lateral Sclerosis (ALS)ArmsRobotic Glove Use
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  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

4 authors at 2 institutions in 2 countries.

C D HaydenTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland. haydenco@tcd.ie.ORCID http://orcid.org/0000-0002-6099-6941
B P MurphyTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
O HardimanAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse St, Dublin 2, D02 R590, Ireland.
D MurrayAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse St, Dublin 2, D02 R590, Ireland.
Trinity College Dublin · IETrinity College · CA

Funding

Health Research Board Ireland MRCG-2018-03
6 · The paper itself

Abstract

Measurement of upper limb function is critical for tracking clinical severity in amyotrophic lateral sclerosis (ALS). The Amyotrophic Lateral Sclerosis Rating Scale-revised (ALSFRS-r) is the primary outcome measure utilised in clinical trials and research in ALS. This scale is limited by floor and ceiling effects within subscales, such that clinically meaningful changes for subjects are often missed, impacting upon the evaluation of new drugs and treatments. Technology has the potential to provide sensitive, objective outcome measurement. This paper is a structured review of current methods and future trends in the measurement of upper limb function with a particular focus on ALS. Technologies that have the potential to radically change the upper limb measurement field and explore the limitations of current technological sensors and solutions in terms of costs and user suitability are discussed. The field is expanding but there remains an unmet need for simple, sensitive and clinically meaningful tests of upper limb function in ALS along with identifying consensus on the direction technology must take to meet this need.

Indexed as

Amyotrophic Lateral SclerosisHumansUpper ExtremityALSOutcome measurementSubjectiveTechnologyUpper limb

Identifiers

PMID35612658
PMCPMC9293830
OpenAlexW4281484016

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.