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Record W2020532319 · doi:10.2174/157339406778699187

Cancer Rehabilitation: Recommendations for Integrating Exercise Programming in the Clinical Practice Setting

2006· article· en· W2020532319 on OpenAlexaff
Margaret L. McNeely, Carolyn J. Peddle‐McIntyre, Matthew Parliament, Kerry S. Courneya

Bibliographic record

VenueCurrent Cancer Therapy Reviews · 2006
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineRehabilitationPhysical therapyClinical PracticeCancerClinical trialPhysical activityDiseasePhysical exercisePhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Physical exercise training has been shown to be an effective component of comprehensive rehabilitation for some cancer patients and survivors. The purpose of this paper is to review the potential role of exercise training in the clinical setting and examine methods to deliver these services in the clinical setting. Noting the limited direct research on implementation of clinical exercise programs in the cancer setting, we review the literature and propose guidelines for: 1) goals of the prescribed physical activity or exercise program; 2) medical and pre-exercise evaluations; 3) recommendations for exercise programming; 4) safety considerations; 5) barriers to physical activity and exercise training in cancer patients; 6) self-directed and community based exercise programs; and 7) the role of medical and exercise professionals. Keywords: chemotherapeutic agents, cardiac disease, exercise trials, Muscular strength, Cancer survivors

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.948
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.134
GPT teacher head0.496
Teacher spread0.362 · 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 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

Citations32
Published2006
Admission routes1
Has abstractyes

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