MétaCan
Menu
Back to cohort
Record W2133714468 · doi:10.1177/1758573213517218

Patient-reported outcomes following a physiotherapy rehabilitation programme for atraumatic posterior shoulder subluxation

2014· review· en· W2133714468 on OpenAlexaboutno aff
James Blacknall, A. Mackie, W. Angus Wallace

Bibliographic record

VenueShoulder & Elbow · 2014
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRehabilitationPhysical therapySubluxationPhysical medicine and rehabilitationAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: There is a paucity of research that describes the patient-reported benefits of physiotherapy rehabilitation for atraumatic posterior instability despite non-operative treatment being considered the initial treatment of choice. This retrospective case series review describes the patient-reported outcomes following a physiotherapy rehabilitation programme for atraumatic posterior shoulder instability. METHODS: Nineteen consecutive patients with a clinical diagnosis of atraumatic posterior shoulder subluxation completed our physiotherapy programme. All patients completed Oxford Instability Shoulder scores (OISS) and Western Ontario Shoulder Instability Index (WOSI) scores before and after physiotherapy intervention. RESULTS: Patients reported a statistically significant clinical improvement in the main outcome measures following physiotherapy intervention. The OISS showed a mean improvement of 18.6 points, whereas the WOSI score showed a mean improvement of 37.2%. Following physiotherapy rehabilitation, all patients reported that their shoulder did not prevent them from performing their work/studies or their chosen hobbies/sports. CONCLUSIONS: Our results support the view that specialized physiotherapy rehabilitation is a valuable treatment option for atraumatic posterior shoulder instability and reveal significant clinically important improvements in patient-reported outcomes.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.059
GPT teacher head0.415
Teacher spread0.355 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations25
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueShoulder & ElbowSame topicShoulder Injury and TreatmentFrench-language works237,207