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Record W2120759589 · doi:10.1136/ebn.9.1.19

A home based, physical activity intervention increased physical activity, fitness, and vigour and reduced fatigue in sedentary women with early stage breast cancer

2006· letter· en· W2120759589 on OpenAlexaff
Carolyn Ingram

Bibliographic record

VenueEvidence-Based Nursing · 2006
Typeletter
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBreast cancerStage (stratigraphy)Physical activityIntervention (counseling)Physical therapyMedicinePhysical fitnessOncologyCancerGerontologyPsychologyInternal medicineBiologyNursing

Abstract

fetched live from OpenAlex

Pinto BM, Frierson GM, Rabin C, et al . Home-based physical activity intervention for breast cancer patients. J Clin Oncol 2005;23:3577–87.[OpenUrl][1][Abstract/FREE Full Text][2] Q Does a home based, physical activity (PA) intervention improve fitness and wellbeing in sedentary women with early stage breast cancer? ### ![Graphic][3]</img>Design: randomised controlled trial. ### ![Graphic][4]</img>Allocation: {concealed}.* ### ![Graphic][5]</img>Blinding: {unblinded}.* ### ![Graphic][6]</img>Follow up period: 12 weeks. ### ![Graphic][7]</img>Setting: Rhode Island, USA. ### ![Graphic][8]</img>Patients: 86 women who were ⩾18 years of age (mean age 53 y) and had been diagnosed with stage 0-II breast cancer in the previous 5 years; had completed surgery, chemotherapy, or radiation; were able to walk 1 mile without assistive devices; and were sedentary (exercised <1 time per wk for 20 min at vigorous intensity or <2 times per wk for 30 min at moderate intensity for the past 6 mo). Women with previous cancer (except non-melanoma skin cancer) or a medical or psychiatric illness that would make PA compliance difficult or dangerous were excluded. ### ![Graphic][9]</img>Intervention: 43 women were allocated to home based PA, which comprised in-person instruction on … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2BClinical%2BOncology%26rft.stitle%253DJCO%26rft.aulast%253DPinto%26rft.auinit1%253DB.%2BM.%26rft.volume%253D23%26rft.issue%253D15%26rft.spage%253D3577%26rft.epage%253D3587%26rft.atitle%253DHome-Based%2BPhysical%2BActivity%2BIntervention%2Bfor%2BBreast%2BCancer%2BPatients%26rft_id%253Dinfo%253Adoi%252F10.1200%252FJCO.2005.03.080%26rft_id%253Dinfo%253Apmid%252F15908668%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=jco&resid=23/15/3577&atom=%2Febnurs%2F9%2F1%2F19.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif [9]: /embed/inline-graphic-7.gif

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.029
GPT teacher head0.315
Teacher spread0.286 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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