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Record W4409463271 · doi:10.1080/00207454.2025.2490692

Early neurological bedside rehabilitation intervention on the recovery of activities of daily living in stroke patients

2025· article· en· W4409463271 on OpenAlexaboutno aff
Kaiqi Huang, Ying Li, Xizhen Jie, Cui Liu, Huijuan Jie

Bibliographic record

VenueInternational Journal of Neuroscience · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationStroke (engine)Activities of daily livingIntervention (counseling)MedicinePhysical medicine and rehabilitationNeurological rehabilitationPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Background Stroke is a common neurological disorder that leads to severe functional impairments and reduced quality of life. Early bedside rehabilitation plays a crucial role in recovery, but research on its effectiveness is limited.Methods This study aimed to assess the impact of early bedside rehabilitation on stroke patients. A total of 150 patients were randomly assigned to an intervention group (n = 75) and a control group (n = 75). The intervention group received physical therapy, occupational therapy, and speech therapy within 48 h of stroke onset. The control group received standard care. Assessments included activities of daily living (ADL), motor function, cognitive function, and quality of life.Results The intervention group showed significantly better outcomes in ADL, motor function, cognitive function, and quality of life compared to the control group. The intervention group had higher Barthel Index, modified Rankin Scale, Fugl-Meyer Assessment, Montreal Cognitive Assessment (MoCA), and Stroke-Specific Quality of Life Scale (SS-QOL) scores (p < 0.001).Conclusion Early bedside rehabilitation in the neurology department significantly improves stroke patients’ recovery, including ADL, motor function, cognitive function, and quality of life. These findings highlight the importance of early rehabilitation and a comprehensive, multidisciplinary approach in stroke care, which can improve recovery outcomes and overall quality of care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.299
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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