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Record W2256966383

ROLE OF PRE-OPERATIVE FACTORS ON SUCCESS OF ARTHROSCOPIC DEBRIDEMENT FOR TREATMENT OF OSTEOARTHRITIS OF GLENOHUMERAL JOINT

2018· article· en· W2256966383 on OpenAlexaff
Helen Razmjou, Richard Holtby

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineAcromioplastyOsteoarthritisSurgeryRange of motionArthroplastyDebridement (dental)ElbowAcromioclavicular jointShoulder jointArthroscopyPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Summary Analysis of existing data of patients who had undergone debridement procedure for osteoarthritis (OA) of glenohumeral joint showed improvement in disability at a minimum of one year following surgery. Injured workers were significantly younger and had a poorer outcome. Introduction There is little information on debridement for OA of the shoulder joint. The purpose of this study was to examine factors that affect the outcome of arthroscopic debridement with or without acromioplasty /resection of clavicle of patients with osteoarthritis of the glenohumeral joint, in subjective perception of disability and functional range of motion and strength at a minimum of one year following surgery. Patients and Methods Existing data of patients with advanced OA of the glenohumeral joint who had undergone debridement were used for analysis. These patients were not good candidates for shoulder arthroplasty due to a young age, high activity level, or desire to avoid major surgery at the time of assessment. Arthroscopic debridement included removal of loose bodies, chondral flaps, and degenerative tissue. Resection of the lateral end of the clavicle or acromioplasty was performed as clinically indicated for management of osteoarthritis of the Acromioclavicular (AC) joint or subacromial impingement respectively. Disability at a minimum of 12 months following surgery was measured by the American Shoulder and Elbow Surgeon's (ASES) assessment form, Constant-Murley score (CMS), strength, and painfree range of motion (ROM) in four directions. Impact of sex, age, having acromioplasty or resection of clavicle, and having an active work-related compensation claim was examined. Results Seventy-four patients (mean age= 55, SD: 14 (range: 25–88), range: 35–86, 34 females, 40 males) were included in analysis. The average symptom duration was 5.8 years. Fifty nine (80%) patients had an associated subacromial decompression [55 (74%) had acromioplasty, 32(43%) had resection of the lateral end of the clavicle, and 28 (38%) had both procedures]. Nineteen (26%) patients had a work-related compensation claim related to their shoulder. This group was significantly younger than the non-compensation group (45 vs. 58, p=0.0001). Paired student t-tests showed a statistically significant improvement in scores of ASES and CMS (p<0.0001), strength (p=0.001) and painfree range of motion (p=0.01) at a minimum of 1 year follow-up. The ANCOVA model that incorporated sex, age, additional decompression (AC resection or acromioplasty), compensation claim and pre-op scores, showed that the pre-op scores and having a work-related claim were the most influential predictors of post-op scores of ASES, CMS, and ROM. The post-op strength was the only factor that was affected by sex, age and having a work-related claim. Discussion/Conclusion Arthroscopic debridement with or without acromioplasty /resection of the lateral end of the clavicle improved disability, painfree range of motion and strength in patients suffering from osteoarthritis of glenohumeral joint at a minimum of one year following surgery. Patients with an active compensation claim related to their shoulder were significantly younger and had a poorer outcome.

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)0.001
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.284
Teacher spread0.246 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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