Evidence map›Paper›PMID 41608036›Full record

ArticleInternational journal of physical medicine & rehabilitation2025

Association Between Upper Limb Impairment and Function Within One Month Post Stroke and Self-care at Six Months.

Jigna Patel, Qinyin Qiu, Gerard G Fluet, Holly Gorin, Jennifer Gutterman, Kiran Karunakaran, Karen J Nolan, Emma Kaplan, Alma S Merians, Sergei V Adamovich

Abstract read
In one paragraph

Article in International journal of physical medicine & rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Jigna PatelDepartment of Rehabilitation and Movement Sciences, School of Health Professions Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Qinyin QiuDepartment of Rehabilitation and Movement Sciences, School of Health Professions Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Gerard G FluetDepartment of Rehabilitation and Movement Sciences, School of Health Professions Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Holly GorinDepartment of Rehabilitation and Movement Sciences, School of Health Professions Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Jennifer GuttermanDepartment of Rehabilitation and Movement Sciences, School of Health Professions Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Kiran KarunakaranKessler Foundation, West Orange, New Jersey, USA.
Karen J NolanKessler Foundation, West Orange, New Jersey, USA.
Emma KaplanKessler Foundation, West Orange, New Jersey, USA.
Alma S MeriansDepartment of Rehabilitation and Movement Sciences, School of Health Professions Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
Sergei V AdamovichDepartment of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark New Jersey, USA.

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
ACL HHS 90RE5021NICHD NIH HHS R01 HD058301
6 · The paper itself

Abstract

Introduction: Stroke leaves many people with upper limb impairments which significantly affect function and Quality Of Life (QOL). Most studies report outcomes at the impairment and activity level. Less attention has been paid to real-life use of the affected upper limb in daily activities. Self-reported measures of performance of activity in daily life using the affected upper limb is important to obtain as people may have minimal deficits on impairment and activity level outcomes yet still have significant difficulties performing self-care and other Activities of Daily Living (ADLs). These difficulties have an important impact on QOL. Discovering easy clinical measures that are associated with the ability to perform ADLs in the long-term is vital as this can lead to more effective care planning by providers, more realistic expectations for survivors, and more efficient allocation of time and resources. Objective: This exploratory study investigated the association between affected upper limb movements from the Upper Extremity Fugl-Meyer Assessment (UEFMA) as well as grip and grasp items from the Action Research Arm Test (ARAT) measured within thirty days post stroke and the self-care domain of the EuroQol-5D-5L measured at six months post stroke. These higher-level affected arm movements require some degree of corticospinal tract function which is a known predictor of functional outcome. Methods: Baseline clinical and six-month EuroQol-5D-5L data were obtained from sixty participants who completed a randomized clinical trial that evaluated robotically facilitated virtual reality for the upper limb in the subacute period post stroke. Cross tabs were used to quantify the association between the baseline ability to perform higher level affected arm movements and the ability to wash and dress oneself at six months post stroke using the self-rated EuroQol-5D-5L health related QOL measure. Results: The ability to perform higher level affected arm movements that require some degree of corticospinal tract function within thirty days post stroke was significantly associated with self-care at six months post stroke in a group of moderate to severely impaired individuals with stroke. Discussion: We propose easy to assess hand, wrist, and arm movements that may be effective clinical tools to project independence with self-care in the long term in similar populations.

Indexed as

BiomarkersCVAQuality of lifeStrokeSubacuteUpper limbVirtual reality

Identifiers

PMID41608036
PMCPMC12843392

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.