Evidence map›Paper›PMID 40376553›Full record

ArticleJournal of rehabilitation medicine. Clinical communications2025

IMPROVING THE PREDICTION OF FUNCTIONAL RECOVERY IN OLDER ADULTS WITH STROKE IN GERIATRIC REHABILITATION USING AN INERTIAL MEASUREMENT UNIT COMBINED WITH THE UTRECHT SCALE FOR EVALUATION OF REHABILITATION.

Jules J M Kraaijkamp, Margot W M DE Waal, Niels H Chavannes, Wilco P Achterberg, Eléonore F VAN Dam VAN Isselt, Michiel Punt

Abstract read
In one paragraph

Article in Journal of rehabilitation medicine. Clinical communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jules J M KraaijkampDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-7262-8399
Margot W M DE WaalDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-5898-7448
Niels H ChavannesDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-8607-9199
Wilco P AchterbergDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-9227-7135
Eléonore F VAN Dam VAN IsseltDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-5584-6295
Michiel PuntResearch Group Lifestyle and Health, Utrecht University of Applied Sciences, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-8578-4059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prediction of functional recovery in older adults recovering from stroke is typically based on observational scales, such as the Utrecht Scale for Evaluation of Rehabilitation (USER). Objectively measuring postural sway using inertial measurement devices (IMU) may complement or improve conventional approaches. The aim of this study was to evaluate whether integrating an IMU with USER data enhances the accuracy of predicting functional recovery at discharge. Methods: This prospective cohort study included older adults (≥ 65 years) recovering from stroke. Postural sway was assessed using an IMU during 2 different balance conditions and analysed using principal component analysis (PCA). Using 3 different regression models, percentage explained variance was compared to assess predictive performance on functional recovery of USER vs an IMU. Results: The 71 patients included had a mean age of 78 (SD 7.6) and a median time since stroke of 16 days (IQR 19-60). Of the 71 patients, 12 (16.9%) were unable to perform balance condition 2 due to insufficient balance. Of 35 postural sway features displaying reliability for both balance conditions, 12 were selected for PCA. Incorporation of principal components for both balance conditions in the final model increased the explained variance compared to a model in which only USER-mobility at admission was used to predict delta-USER at discharge ( Conclusions: Sitting and standing balance as measured by an IMU improves the prediction of functional recovery at discharge compared to USER alone.

Indexed as

accelerometerbalancegeriatric rehabilitationpredictionstrokeTechnology Assessment

Identifiers

PMID40376553
PMCPMC12079043

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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.