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Record W4251283077 · doi:10.4081/hpr.2013.1450

Ten weeks of home-based exercise attenuates symptoms of chemotherapy-induced peripheral neuropathy in breast cancer patients

2013· article· en· W4251283077 on OpenAlexaboutno aff
Karen Y. Wonders, Gabrielle Whisler, Hallie Loy, Brian Holt, Kelsey Bohachek, Robert A. Wise

Bibliographic record

VenueHealth psychology research · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreast cancerQuality of life (healthcare)Peripheral neuropathyPhysical therapyChemotherapy-induced peripheral neuropathyCancerAnalysis of varianceChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this investigation was to determine if a structured, home-based exercise program was beneficial to reduce symptoms of chemotherapy-induced peripheral neuropathy and improve quality of life (QOL). A total of 50 women who are breast cancer survivors and are listed in the Breast Cancer Registry of Greater Cincinnati database were recruited by mail. Participants were initially asked to complete the McGill QOL questionnaire and the Leeds Assessment of Neuropathic Symptoms and Signs, before beginning a 10-week home-based exercise program. At the completion of the exercise program, subjects were asked again to complete the same two questionnaires. Pre- and post-intervention data were analyzed using a repeated measures ANOVA, at a significance level of α<0.05. Six individuals completed the investigation. Prior to the 10-week exercise program, participants described their pain as unpleasant skin sensations (Pre-HBEx, N=6), abnormally sensitive to touch (Pre-HBEx, N=6), and coming on suddenly in bursts for no apparent reason (Pre-HBEx, N=5). Following 10-weeks of exercise, participants reported experiencing less of these symptoms (Post- HBEx, N=3, 1, and 4 respectively; P=0.05). It was also determined that troublesome symp- toms were significantly reduced after 10- weeks of home-based exercise (P=0.05).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.463
Teacher spread0.402 · 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

Citations32
Published2013
Admission routes1
Has abstractyes

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