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Record W7061859630

The Safety and Efficacy of Physical Agents on Cancer Survivors: An Update

2016· article· en· W7061859630 on OpenAlexvenueno aff

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsModalitiesCancerRehabilitationTreatment modalityQuality of life (healthcare)DiseaseRandomized controlled trialCancer therapyBreast cancerCancer treatment
DOInot available

Abstract

fetched live from OpenAlex

Title: The Safety and Efficacy of Physical Agents on Cancer Survivors: An Update\nAuthors: Gentry Ensign, SPT1; Kathryn Flyte, SPT1; Michael Moore, SPT1; Katelyn Ratliff, SPT1; Ann Wilson, P.T., M.Ed., GCS1\nAffiliations: 1. School of Physical Therapy, University of Puget Sound\nTheory: Cancer patients are often referred to physical therapy to treat impairments associated with cancer, its treatment, and the disease progression. Physical therapists sometimes use physical agents as part of a complete rehabilitation program for the purpose of decreasing pain, increasing strength, and facilitating tissue healing while avoiding possible malignant tumor growth. The benefits of physical therapy modalities in cancer treatment has not been well defined, but have potential to improve quality of life, functional abilities, and participation for these patients. Currently, many physical agents are contraindicated in the treatment of cancer patients because of potential concerns that they may increase the growth or rate of growth of malignant tumors. The lack of clinically-applicable and high-quality studies that support or refute these theories makes the use of some physical therapy modalities in the treatment of cancer patients controversial. For this reason and due to the changes in contemporary modality use over the last fifteen years, an update of the current literature is warranted. The purpose of this literature review is to update an already-existing literature review by Pfalzer in 2001 discussing the use of modalities in treatment of cancer-related impairments.\nReferences: Kozanoglu E, Basaran S, Paydas S, Sarpel T. Efficacy of pneumatic compression and low-level laser therapy in the treatment of postmastectomy lymphoedema: A randomized controlled trial. Clin Rehabil. 2009;23(2):117-124. Hurlow A, Bennet MI, Robb KA, Johnson MI, Simpson KH, Oxberry SG, Transcutaneous electric nerve stimulation (TENS) for cancer pain in adults. Cochrane Database of Systematic Reviews. 2012; 3: 1-26. Cheville AL, Basford JR. Role of Rehabilitation Medicine and Physical Agents in the Treatment of Cancer-Associated Pain. J Clin Oncol. 2014;32(16):1691-1702. Majithia N, Smith TJ, Coyne PJ, et al. Scrambler Therapy for the management of chronic pain. Support Care Cancer. 2016;24:2807-2814.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2016
Admission routes1
Has abstractyes

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