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Record W7078157807 · doi:10.1016/j.dscb.2025.100274

Effects of exercise and pharmacotherapy on fatigue in stroke patients: A systematic review with meta-analysis

2025· article· en· W7078157807 on OpenAlexaff

Bibliographic record

VenueBrain Disorders · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNOSM UniversityHealth Sciences NorthUniversity of Sudbury
Fundersnot available
KeywordsPharmacotherapyStroke (engine)ChecklistCritical appraisalMeta-analysisRandomized controlled trialPsychological interventionFunnel plot

Abstract

fetched live from OpenAlex

• The impact of post-stroke fatigue (PSF) on the functional recovery of patients with stroke is significant. • PSF is closely linked to mortality and prognosis and indirectly affects psychological well-being and quality of life. • Our review suggests that both exercise and pharmacotherapy may be effective in reducing the PSF. • However, the limitations of these trials, such as small sample sizes and potential bias, highlight the necessity for larger sample sizes and appropriate treatment durations in future research. This systematic review and meta-analysis aimed to investigate the efficacy of exercise and pharmacological interventions in mitigating fatigue in acute, subacute, and chronic phases of stroke recovery. PubMed, Embase, Science Direct, Web of Science, Scopus, and Google Scholar databases were searched for articles published before December 2023. Randomized controlled trials that assessed the effectiveness of exercise and pharmacotherapy on PSF in patients with acute, subacute, and chronic strokes were included. Studies that met the following criteria were included: participants who had experienced PSF, were older than 18 years, and used exercise or pharmacotherapy as interventions. The I2 test and funnel plot were used to examine heterogeneity and publication bias. The quality of the studies was assessed using the Critical Appraisal Checklist for Studies created by the Joanna Briggs Institute. Twelve publications were selected from 1,472 citations for the final qualitative analysis. The articles were published between 2007 and 2023, with 686 participants, ranging from 06 to 119. Physical exercise and pharmacological treatments (fluoxetine, modafinil, and (−)-OSU6162) were associated with decreased fatigue severity at the end of treatment (pooled mean difference = −2.90, 95 % CI: −6.83 to 1.02). However, these trials were small and had a significant risk of bias. Our findings suggest that exercise and pharmacotherapy may reduce PSF. However, the small sample size and potential bias of the trials underscores the need for larger sample sizes and appropriate treatment durations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.031
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0240.045
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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