MétaCan
Menu
Back to cohort
Record W1813168482 · doi:10.1089/acu.2014.1053

The Importance of Nogier's Advanced Phases for Effective Pain Relief in Sports Medicine

2014· article· en· W1813168482 on OpenAlexaff
Bryan L. Frank

Bibliographic record

VenueMedical Acupuncture · 2014
Typearticle
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsYukon Department of EnvironmentYukon University
Fundersnot available
KeywordsMedicineAcupuncturePresentation (obstetrics)Sports medicinePhysical therapyAuriclePain reliefIntensive care medicineAlternative medicineSurgeryPathology

Abstract

fetched live from OpenAlex

Pain from injuries and sports-related activities are common causes for seeking health care. Auriculotherapy has been well-recognized as an appropriate way to address pain and sports-related injuries and to stimulate functional restoration of injured tissues. Common auriculotherapy, involving the “inverted fetus” presentation may yield marginal results in some patients who have pain and sports-related injuries, especially when dense tissue pathology occurs. Implementing the Nogier advanced auricular phase presentations will lead to improved outcomes. The goal of this article is to enhance the understanding and the importance of advanced auricular phase projections, especially for cases of dense, degenerative pathologies. The historic discoveries by Paul Nogier, MD, and his colleagues are presented, specifically the advanced phase pathophysiologic presentations (Phase 2 and Phase 3), as projected on the external auricle. A modification of past designations of the phase presentations is presented to elucidate their role in pathologic expression, leading to enhanced clinical outcomes. Advanced auriculotherapy, utilizing Nogier's advanced phases, has both sound historical bases as well as demonstrated enhanced clinical outcomes. This approach is a critical aspect of treatment for pain and sports-related injuries, especially those involving dense or degenerative tissue pathologies.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.282
Teacher spread0.278 · 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 designOther design
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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMedical AcupunctureSame topicDupuytren's Contracture and TreatmentsFrench-language works237,207