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Record W2088949250 · doi:10.1177/1534735411433202

Optimal Mode for Maximal Aerobic Exercise Testing in Breast Cancer Survivors

2012· article· en· W2088949250 on OpenAlexafffund
Lianne B. Dolan, Kirstin N. Lane, Donald C. McKenzie

Bibliographic record

VenueIntegrative Cancer Therapies · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsCamosun CollegeUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsBreast cancerAerobic exerciseMedicineOncologyInternal medicineCancerPhysical therapy

Abstract

fetched live from OpenAlex

PURPOSE: To determine which mode of exercise is preferred by breast cancer survivors and to evaluate this response between graded exercise testing on a treadmill and on a cycle ergometer. METHODS: Twelve breast cancer survivors completed 2 maximal aerobic stress tests on separate days. The women completed a ramp protocol on an electronically braked cycle ergometer and an incremental step protocol on a treadmill to volitional fatigue. Test order was randomized. Expired gases were collected for the determination of peak aerobic capacity (Vo (2peak)). RESULTS: Exercise mode had a significant effect on the graded exercise response in breast cancer survivors, P = .003. Treadmill Vo (2peak) was significantly greater than bike Vo (2peak) (28.7 ± 4.7 vs 23.9 ± 4.7 mL/min/kg, respectively, P = .003) and VE(max) was equivalent between exercise modes (P = .731). Maximal heart rate was significantly higher by 11 bpm during the treadmill protocol (P = .004), and Ve/VCo (2) exhibited possible mode dependency (P = .018). CONCLUSION: This patient population felt more comfortable and produced significantly greater Vo2(peak) values using the treadmill protocol. These results discuss the potential implications concerning the design and interpretation of exercise interventions for breast 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.330
Teacher spread0.293 · 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.

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

Citations11
Published2012
Admission routes2
Has abstractyes

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