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Record W7001327170

The Investigation of Prosthetic Rehabilitation Outcomes Following a Lower Limb Amputation in the Oldest Old

2022· article· en· W7001327170 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2022
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationLower limb amputationAmputationLower limbBalance (ability)Confidence intervalArtificial limbs
DOInot available

Abstract

fetched live from OpenAlex

This thesis sought to investigate the changing characteristics of people with lower limb amputations (LLAs) who participate in prosthetic rehabilitation programs and evaluate an under-investigated subgroup; the oldest old (aged 80 years and older). Study 1 included 601 consecutive admissions to a Canadian prosthetic rehabilitation program from 2012 to 2019. Although participant’s age did not increase at admission over time, individuals presented with a higher number of comorbidities each year. Participants were admitted from amputation surgery faster over time. Study 2 assessed functional prosthetic rehabilitation outcomes for the oldest old against participants aged 50 to 79 years old. Despite the oldest old having reduced balance confidence compared to all other age groups, they demonstrated similar potential for walking ability. These findings show that the participant profile is changing for individuals accepted for prosthetic rehabilitation, and advanced age alone should not be a disqualifying factor for admission to these programs.

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)0.000
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 score0.031
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.268
Teacher spread0.234 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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