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Record W2907390810 · doi:10.1186/s12885-018-5189-5

A phase II randomized controlled trial of three exercise delivery methods in men with prostate cancer on androgen deprivation therapy

2019· article· en· W2907390810 on OpenAlexafffundabout
Shabbir M.H. Alibhai, Daniel Santa Mina, Paul Ritvo, George Tomlinson, Catherine M. Sabiston, Murray Krahn, Sara Durbano, Andrew Matthew, Padraig Warde, Meagan O’Neill, Narhari Timilshina, Roanne Segal, Nicole Culos-Reed

Bibliographic record

VenueBMC Cancer · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of CalgaryOttawa HospitalUniversity of OttawaCancer Care OntarioUniversity Health NetworkUniversity of TorontoToronto General HospitalYork University
FundersProstate Cancer Canada
KeywordsMedicineRandomized controlled trialAndrogen deprivation therapyPhysical therapyQuality of life (healthcare)Clinical endpointProstate cancerAerobic exerciseRandomizationInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Existing evidence demonstrates that 1:1 personal training (PT) improves many adverse effects of androgen deprivation therapy (ADT). Whether less resource-intensive exercise delivery models are as effective remains to be established. We determined the feasibility of conducting a multi-center non-inferiority randomized controlled trial comparing PT with supervised group (GROUP) and home-based (HOME) exercise programs, and obtained preliminary efficacy estimates for GROUP and HOME compared to PT on quality of life (QOL) and physical fitness. METHODS: Men with prostate cancer on ADT were recruited from one of two experienced Canadian centres and randomized 1:1:1 to PT, GROUP, or HOME. Randomization was stratified by length of ADT use and site. Participants completed moderate intensity aerobic and resistance exercises 4-5 days per week for 6 months with a target 150 min per week of exercise. Exercise prescriptions were individualized and progressed throughout the trial. Feasibility endpoints included recruitment, retention, adherence, and participant satisfaction. The efficacy endpoints QOL, fatigue, and fitness (VO2 peak, grip strength, and timed chair stands) in GROUP and HOME were compared for non-inferiority to PT. Descriptive analyses were used for feasibility endpoints. Between-group differences for efficacy endpoints were examined using Bayesian linear mixed effects models. RESULTS: Fifty-nine participants (mean age 69.9 years) were enrolled. The recruitment rate was 25.4% and recruitment was slower than projected. Retention was 71.2%. Exercise adherence as measured through attendance was high for supervised sessions but under 50% by self-report and accelerometry. Satisfaction was high and there was no difference in this measure between all three groups. Between-group differences (comparing both GROUP and HOME to PT) were smaller than the minimum clinically important difference on most measures of QOL, fatigue, and fitness. However, two of six outcomes for GROUP and four of six outcomes for HOME had a > 20% probability of being inferior for GROUP. CONCLUSIONS: Feasibility endpoints were generally met. Both GROUP and HOME interventions in men with PC on ADT appeared to be similar to PT for multiple efficacy outcomes, although conclusions are limited by a small sample size and cost considerations have not been incorporated. Efforts need to be targeted to improving recruitment and adherence. A larger trial is warranted. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02046837 . Date of registration: January 20, 2014.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.028
GPT teacher head0.355
Teacher spread0.326 · 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 designRandomized trial
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

Citations63
Published2019
Admission routes3
Has abstractyes

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