Evidence map›Paper›PMID 39925994›Full record

ArticleF1000Research2024

Development and Validation of a Bedside Scale for Assessing Upper Limb Function Following Stroke: A Methodological Study.

Dhaval Pawani, Abraham M Joshua, Akshatha Nayak, Vijayakumar Palaniswamy, Prasanna Mithra, Ashish John Prabhakar, Sampath Kumar Amaravadi

Abstract readValidation Study
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Dhaval PawaniPhysiotherapy, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, 575001, India.
Abraham M JoshuaPhysiotherapy, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, 575001, India.ORCID https://orcid.org/0000-0001-8492-0661
Akshatha NayakPhysiotherapy, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, 575001, India.
Vijayakumar PalaniswamyPhysiotherapy, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, 575001, India.
Prasanna MithraCommunity Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, 575001, India.ORCID https://orcid.org/0000-0002-7153-411X
Ashish John PrabhakarPhysiotherapy, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, 575001, India.
Sampath Kumar AmaravadiPhysiotherapy, School of Sport, Exercise, and Rehabilitation, University of Birmingham School, Birmingham, England, B15 2TT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous tools are available for evaluation of upper limb (UL) functions among stroke survivors. Despite the excellent psychometric properties, many require considerable amount of time, are resource-intensive, and often impractical for bedside evaluation. Objectives: To develop and concurrently validate a simple, resource-efficient, and time-efficient bedside tool for evaluating UL function in stroke survivors. Methods: Relevant literature review was carried out to conceptualize and define the theoretical framework of day-to-day UL movement tasks. Subsequently, an item pool of 18 UL movements was developed. A mini-Delphi method was employed to verify content validity. During the iterative rounds, 18-items were revised and refined to a 12-items scale. The final bedside upper limb evaluation tool (BUFET) scale underwent concurrent validation by correlating the scores with Wolf Motor Function Test (WMFT) scores using Spearman's correlation coefficient. Internal consistency was evaluated through Cronbach's alpha. Results: Concurrent validity and internal consistency of the scale were supported by a high correlation coefficient (r = 0.937; p<0.001) with WMFT and high Cronbach's alpha (0.948). Conclusions: Newly developed BUFET was found to be a valid and reliable bedside tool in the evaluation of upper limb functions and can be administered in a resource and time-efficient manner.

Indexed as

StrokeUpper ExtremityAgedFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsStroke RehabilitationBedside assessmentEvaluation tool.Outcome measuresStrokeUpper limb

Identifiers

PMID39925994
PMCPMC11803442

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