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Record W2602860183 · doi:10.1155/2017/7302892

Focal Muscle Vibration and Physical Exercise in Postmastectomy Recovery: An Explorative Study

2017· article· en· W2602860183 on OpenAlexaboutno aff
Claudia Celletti, Maria Antonietta Fara, Guido Maria Filippi, Giuseppe La Torre, Roberto Tozzi, Nicola Vanacore, Filippo Camerota

Bibliographic record

VenueBioMed Research International · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAlgorithmArtificial intelligenceComputer scienceMedicine

Abstract

fetched live from OpenAlex

Background . Physical activity initiation and maintenance are particular challenges in the postmastectomy recovery and in particular Dragon Boat racing seems to be a useful sport activity. The aim of this study was to evaluate the role of focal muscle vibration as a proprioceptive input to improve upper limb functioning in a group of “paddlers” patients. Methods . A group of paddlers has been evaluated before vibratory treatment (T0), immediately after therapy (T1), after one week (T2), and after one month (T3) with DASH questionnaire, Body Image Scale, McGill pain questionnaire, Constant Scale, and Short Form 36 questionnaire. Results . Fourteen patients showed a significant reduction in disability score <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0</mml:mn><mml:mtext>,</mml:mtext><mml:mn fontstyle="italic">001</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> using DASH scale, an improvement of upper limb function <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0</mml:mn><mml:mtext>,</mml:mtext><mml:mn fontstyle="italic">001</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> using the Constant scale, and a reduction of pain <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0</mml:mn><mml:mtext>,</mml:mtext><mml:mn fontstyle="italic">007</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> at the McGill pain questionnaire. The Mental Composite Score of the Short Form 36 questionnaire showed significant results <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0</mml:mn><mml:mtext>,</mml:mtext><mml:mn fontstyle="italic">04</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> while no significant results had been found regarding the physical mental score <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">0</mml:mn><mml:mtext>,</mml:mtext><mml:mn fontstyle="italic">08</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math>. Conclusion . Focal muscle vibration may be a useful treatment in a postmastectomy recovery of upper limb functionality.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.135
GPT teacher head0.458
Teacher spread0.323 · 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 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

Citations9
Published2017
Admission routes1
Has abstractyes

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