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Effects of Repeated Distension Arthrographies Combined with a Home Exercise Program Among Adults with Idiopathic Adhesive Capsulitis of the Shoulder

2004· article· en· W2078312049 on OpenAlexaff
France Piotte, Denis Gravel, Evelyne Fliszar, Andr Roy, Sylvie Nadeau, Danielle B dard, Guylaine Roy

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2004
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsMedicineCapsulitisDistensionRange of motionPhysical therapyRepeated measures designPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to measure the effect of repeated distension arthrographies combined with a home exercise program on impairments and disability of the upper limb in subjects with adhesive capsulitis of the shoulder. DESIGN: A total of 15 subjects with idiopathic adhesive capsulitis participated in the study. Intervention consisted of three distension arthrographies with steroid, done at 3-wk intervals, and a home exercise program. The repeated-measures design included five clinical evaluations with disability, pain, range of motion, and pain-free static strength outcomes. Two evaluations done before the first arthrography verified the stability of the condition. RESULTS: There was a significant improvement of all outcomes at the end of intervention. The greatest effects occurred after the first distension arthrography. After the second, less marked, albeit significant, changes were observed in three motions of the shoulder and in the pain level. After the third distension arthrography, very small changes were noted. A comparison between sides revealed incomplete recovery of the range of motion on the affected side. CONCLUSIONS: These findings showed that two distension arthrographies with steroid combined with a home exercise program reduce shoulder disability and impairments. Adding a third distension arthrography does not seem to provide any further benefit.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.246
Teacher spread0.243 · 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 designNon-randomized trial
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

Citations42
Published2004
Admission routes1
Has abstractyes

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