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Exercise in Cancer Survivors: An Overview of Research

2003· review· en· W2066028007 on OpenAlexaffabout
Kerry S. Courneya

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2003
Typereview
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBreast cancerMedicineCancerQuality of life (healthcare)Clinical trialPsychological interventionPhysical therapyOncologyInternal medicineGerontologyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To provide an overview of research that has examined exercise in cancer survivors including recently completed trials at the University of Alberta. METHODS: A search of published studies using electronic data bases and previous review articles. The review is divided into breast and nonbreast cancers, during and after treatment, and trials from the University of Alberta. RESULTS: Forty-seven published studies were located and summarized plus four trials from the University of Alberta. Almost all studies showed beneficial effects of exercise in breast and nonbreast cancer groups alike as well as during and after cancer treatment. CONCLUSION: Preliminary research suggests that exercise may be an effective intervention for enhancing quality of life (QOL) in cancer survivors. The effects of exercise on biomarkers, cancer recurrence, other diseases, and overall survival are unknown. Future research is needed to extend our knowledge beyond breast cancer survivors, conduct second generation studies in breast cancer survivors, examine mechanisms for changes in QOL, compare exercise with other QOL interventions, and examine biomarkers, cancer recurrence, and survival.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0070.010
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.178
GPT teacher head0.468
Teacher spread0.291 · 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 designSystematic review
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

Citations433
Published2003
Admission routes2
Has abstractyes

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