Evidence map›Paper›PMID 34749752›Full record

SynthesisJournal of neuroengineering and rehabilitation2021

European evidence-based recommendations for clinical assessment of upper limb in neurorehabilitation (CAULIN): data synthesis from systematic reviews, clinical practice guidelines and expert consensus.

Gerdienke B Prange-Lasonder, Margit Alt Murphy, Ilse Lamers, Ann-Marie Hughes, Jaap H Buurke, Peter Feys, Thierry Keller, Verena Klamroth-Marganska, Ina M Tarkka, Annick Timmermans and 1 more

Open access · goldAbstract readMeta-AnalysisConsensus Statement
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  12. Italian translation, cultural adaptation, and validation of the Action Research Arm Test (ARAT) and the Stroke Upper Limb Capacity Scale (SULCS) for individuals post-stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

11 authors at 8 institutions in 7 countries.

Gerdienke B Prange-LasonderRoessingh Research and Development, Enschede, The Netherlands. g.prange@rrd.nl.ORCID 0000-0003-4304-8365
Margit Alt MurphyInstitute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.
Ilse LamersRehabilitation Research Center (REVAL), UHasselt, Diepenbeek, Belgium.
Ann-Marie HughesSchool of Health Sciences, University of Southampton, Southampton, UK.
Jaap H BuurkeRoessingh Research and Development, Enschede, The Netherlands.
Peter FeysRehabilitation Research Center (REVAL), UHasselt, Diepenbeek, Belgium.
Thierry KellerNeurorehabilitation Area at the Health Division of TECNALIA, Basque Research and Technology Alliance (BRTA), Donostia - San Sebastian, Spain.
Verena Klamroth-MarganskaInstitute of Occupational Therapy, Zurich University of Applied Sciences, Winterthur, Switzerland.
Ina M TarkkaFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Annick TimmermansRehabilitation Research Center (REVAL), UHasselt, Diepenbeek, Belgium.
Jane H BurridgeSchool of Health Sciences, University of Southampton, Southampton, UK.
Hasselt University · BERoessingh Research and Development · NLUniversity of Southampton · GBNational MS Center MelsbroekTecnalia · ESUniversity of Gothenburg · SEUniversity of Jyväskylä · FIZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnology-supported rehabilitation can help alleviate the increasing need for cost-effective rehabilitation of neurological conditions, but use in clinical practice remains limited. Agreement on a core set of reliable, valid and accessible outcome measures to assess rehabilitation outcomes is needed to generate strong evidence about effectiveness of rehabilitation approaches, including technologies. This paper collates and synthesizes a core set from multiple sources; combining existing evidence, clinical practice guidelines and expert consensus into European recommendations for Clinical Assessment of Upper Limb In Neurorehabilitation (CAULIN).

methodsData from systematic reviews, clinical practice guidelines and expert consensus (Delphi methodology) were systematically extracted and synthesized using strength of evidence rating criteria, in addition to recommendations on assessment procedures. Three sets were defined: a core set: strong evidence for validity, reliability, responsiveness and clinical utility AND recommended by at least two sources; an extended set: strong evidence OR recommended by at least two sources and a supplementary set: some evidence OR recommended by at least one of the sources.

resultsIn total, 12 measures (with primary focus on stroke) were included, encompassing body function and activity level of the International Classification of Functioning and Health. The core set recommended for clinical practice and research: Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT); the extended set recommended for clinical practice and/or clinical research: kinematic measures, Box and Block Test (BBT), Chedoke Arm Hand Activity Inventory (CAHAI), Wolf Motor Function Test (WMFT), Nine Hole Peg Test (NHPT) and ABILHAND; the supplementary set recommended for research or specific occasions: Motricity Index (MI); Chedoke-McMaster Stroke Assessment (CMSA), Stroke Rehabilitation Assessment Movement (STREAM), Frenchay Arm Test (FAT), Motor Assessment Scale (MAS) and body-worn movement sensors. Assessments should be conducted at pre-defined regular intervals by trained personnel. Global measures should be applied within 24 h of hospital admission and upper limb specific measures within 1 week.

conclusionsThe CAULIN recommendations for outcome measures and assessment procedures provide a clear, simple, evidence-based three-level structure for upper limb assessment in neurological rehabilitation. Widespread adoption and sustained use will improve quality of clinical practice and facilitate meta-analysis, critical for the advancement of technology-supported neurorehabilitation.

Indexed as

StrokeStroke RehabilitationConsensusHandHumansRecovery of FunctionReproducibility of ResultsUpper ExtremityAssessmentMultiple sclerosisOutcome measuresRehabilitationSpinal cord injuryStrokeTherapyTraumatic brain injuryUpper extremityUpper limb

Identifiers

PMID34749752
PMCPMC8573909
OpenAlexW3211403003

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.