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Record W3167328290

Flash cupping and its effect on soft tissue elasticity

2021· article· en· W3167328290 on OpenAlexaff
Natasha Jacobson, Mark Driscoll

Bibliographic record

VenueeScholarship@McGill (McGill) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsElasticity (physics)MedicineSoft tissueAbdomenStiffeningSurgeryMaterials scienceComposite material
DOInot available

Abstract

fetched live from OpenAlex

Cupping therapy is a growing treatment option for myofascial pain, however, the effects of suction on deeper tissues’ elasticity has not been well documented. As such, elasticity was derived using a novel device that employs a flash cupping technique to resect deeper fascia. Fourteen participants were recruited and tested with the device 5 cm subxiphoid on the abdomen and posterior calf muscle. Of results at the abdomen, 88% indicated immediate (within 30 seconds) increase in elasticity. At the calf, 64% of results indicated immediate increase in elasticity. In the short-term (1-3 minutes), stiffening occurred in 64% of results at the abdomen. Given results, it is of interest to consider the long-term effects of dry cupping on soft tissue elasticity to determine potential mechanical benefits of localized suction. The presented evidence of dynamic changes in elasticity may lend insight into the causes and treatment effects of myofascial pain.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.242
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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