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Record W2120668453 · doi:10.1161/hs0102.101224

Effect of Age on Functional Outcomes After Stroke Rehabilitation

2002· article· en· W2120668453 on OpenAlex
Stephen D. Bagg, Alicia Paris Pombo, Wilma M. Hopman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStroke · 2002
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsQueen's University
FundersHeart and Stroke Foundation of Canada
KeywordsMedicineStroke (engine)RehabilitationPhysical medicine and rehabilitationPhysical therapyStroke recovery

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: The incidence of stroke and the demand for stroke rehabilitation services continues to increase, and it has been proposed that age be used in combination with severity of stroke to determine type of rehabilitation. It is important to identify the impact of age on functional outcome before embracing a system that limits access to rehabilitation on the basis of age. METHODS: This prospective study includes all patients admitted to an inpatient stroke rehabilitation program for 6 years. Demographic and clinical data were extracted by means of chart review. Functional status at admission and discharge was evaluated by means of the FIM instrument. Multivariate regression techniques were used to assess the relationships between age, functional outcome, and other predictive variables. Particular attention was paid to the r(2) values to assess the amount of variation accounted for by the predictors. RESULTS: Age alone was a significant predictor of total FIM score and Motor FIM score at discharge, but not FIM change. For both total FIM score and Motor FIM score at discharge, age alone accounted for only 3% of the variation in outcome. For all the models, age explained at the most 1.3% of the variation in functional outcome after adjustment for other factors, such as admission FIM score. CONCLUSIONS: The small amount of variation that can be explained by age alone and the questionable clinical relevance of such a small effect suggest that there is no justification to deny patients access to rehabilitation solely because of advanced age.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.267
Teacher spread0.256 · 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