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Record W1915768448 · doi:10.1139/h11-055

Evidence-based risk assessment and recommendations for physical activity clearance: stroke and spinal cord injury<sup>1</sup>This paper is one of a selection of papers published in this Special Issue, entitled Evidence-based risk assessment and recommendations for physical activity clearance, and has undergone the Journal’s usual peer review process.

2011· review· en· W1915768448 on OpenAlexafffundvenue
E. Paul Zehr

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2011
Typereview
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of Victoria
FundersPublic Health AgencyPublic Health Agency of CanadaHeart and Stroke Foundation of Canada
KeywordsMedicineStroke (engine)Adverse effectSpinal cord injuryPhysical therapyPhysical medicine and rehabilitationInternal medicineSpinal cord

Abstract

fetched live from OpenAlex

Physical activity (PA) has potential benefits after stroke or spinal cord injury (SCI), especially in improving efficiency and functional capacity in activities of daily living. Currently, many who could benefit from PA may be routinely excluded from participation because of myths related to functional capacity and the concern for harm. The purpose of this review was to evaluate the literature for reports of adverse events during exercise after stroke or SCI, and to provide recommendations regarding exercise participation in supervised and unsupervised environments. Studies were evaluated for quality, and the summary level and quality of evidence were evaluated using the AGREE rubric, modified to address the main outcome measure of adverse events. Levels of exercise stress were evaluated for aerobic activities, using an established rubric. Included in the current analysis were 32 studies for stroke and 4 for SCI. In aggregate, this yielded a total of 730 experimental participants with stroke and 143 with SCI. It should be noted that almost all studies were not designed to examine naturally occurring adverse events from PA. Significant contraindications to unsupervised exercise include manifestation of autonomic dysreflexia in SCI and cardiovascular comorbidity after stroke. There are clear benefits of exercise training on physiological outcomes in stroke and SCI, but the relation between outcomes and safety remains unclear. However, taken on balance, the risk-to-benefit ratio favors the recommendation of exercise. This recommendation is based on studies in which participants were almost universally screened for participation in supervised environments. Thus, the grading of evidence for finding adverse events to support this conclusion is inadequate.

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)0.080
metaresearch head score (Gemma)0.338
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.080
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.338
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0100.013
Bibliometrics0.0140.008
Science and technology studies0.0020.002
Scholarly communication0.0100.007
Open science0.0090.006
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0130.007

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 head0.100
GPT teacher head0.411
Teacher spread0.311 · 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 designNot applicable
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

Citations44
Published2011
Admission routes3
Has abstractyes

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