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Effects of Exercise on Quality of Life in Women Living with Breast Cancer: A Systematic Review

2008· review· en· W2120612969 on OpenAlexaff
Deanna Bicego, Kathy Brown, Moraine Ruddick, Dara Storey, Corinne Wong, Susan R. Harris

Bibliographic record

VenueThe Breast Journal · 2008
Typereview
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCINAHLBreast cancerMEDLINEQuality of life (healthcare)Physical therapyRandomized controlled trialMeta-analysisGerontologyCancerInternal medicinePsychological interventionNursing

Abstract

fetched live from OpenAlex

The goal of this systematic review was to examine the effect of exercise on quality of life (QOL) in women living with breast cancer. Data bases searched were MEDLINE, EMBASE, CINAHL, PubMed, and PEDro. Keywords were "breast cancer and quality of life" in combination with "exercise" or "physical activity" (with associated Mesh terms). Limits were English or French language. Included studies were independently reviewed for methodological quality (van Tulder et al.) and assigned a level of evidence (Centre for Evidence-Based Medicine). Nine relevant randomized controlled trials were included: four of moderate methodological quality and five of high methodological quality. There was strong evidence that exercise positively influences QOL in women living with breast cancer. Exercise can be an effective strategy to improve QOL in women living with breast cancer. Future research is necessary to determine optimal exercise types and parameters.

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)0.006
metaresearch head score (Gemma)0.025
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: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.318
Teacher spread0.295 · 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

Citations122
Published2008
Admission routes1
Has abstractyes

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