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Record W1495478412

The conservative treatment of Trigger thumb using Graston Techniques and Active Release Techniques.

2006· article· en· W1495478412 on OpenAlexaff
Scott Howitt, Jerome Wong, Sonja Zabukovec

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsThumbMedicineRange of motionPhysical medicine and rehabilitationPhysical therapyTrigger fingerPalpationRehabilitationSurgeryPathologyAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To detail the progress of a patient with unresolved symptoms of Trigger thumb who underwent a treatment plan featuring Active Release Technique (ART) and Graston Technique. CLINICAL FEATURES: The most important feature is painful snapping or restriction of movement, most notably in actively extending or flexing the digit. The cause of this flexor tendinopathy is believed to be multi-factorial including anatomical variations of the pulley system and biomechanical etiologies such as exposure to shear forces and unaccustomed activity. Conventional treatment aims at decreasing inflammation through corticosteroid injection or surgically removing imposing tissue. INTERVENTION AND OUTCOME: The conservative treatment approach utilized in this case involved Active Release Technique (ART) and Graston Technique (GT). An activity specific rehabilitation protocol was employed to re-establish thumb extensor strength and ice was used to control pain and any residual inflammation. Outcome measures included subjective pain ratings with range of motion and motion palpation of the first right phalangeal joint. Objective measures were made by assessing range of motion. CONCLUSION: A patient with trigger thumb appeared to be relieved of his pain and disability after a treatment plan of GT and ART.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.232

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 head0.024
GPT teacher head0.265
Teacher spread0.241 · 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

Citations66
Published2006
Admission routes1
Has abstractyes

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