Trends in prevalence and implant types in the Nova Scotia Joint Database Registry between 2005 and 2021
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aims: The aim of this study is to evaluate the change in incidence rate of shoulder arthroplasty, indications, and surgeon volume trends associated with these procedures between January 2003 and April 2021 in the province of Nova Scotia, Canada. Methods: A total of 1,545 patients between 2005 and 2021 were analyzed. Patients operated on between 2003 and 2004 were excluded due to a lack of electronic records. Overall, 84.1% of the surgeries (n = 1,299) were performed by two fellowship-trained upper limb surgeons, with the remainder performed by one of the 14 orthopaedic surgeons working in the province. Results: Total shoulder arthroplasty (TSA) was the most frequent procedure (32.17%; n = 497), followed by stemmed hemiarthroplasty (SHA) (27.7%; n = 428). The most frequent indication for primary shoulder arthroplasty was degenerative osteoarthritis (58.1%; n = 882), followed by acute proximal humerus fracture in 15.11% (n = 245), and rotator cuff arthropathy in 14.18% (n = 220). The overall rate of revision was 7.7% (2.8% to 11.2%). The number of TSAs and reverse shoulder arthroplasties (RSAs) has been increasing since 2016. The amount of revision cases is proportional to the number of operations performed in the same year throughout the study period. Conclusion: The incidence of shoulder arthroplasty in the Maritime Provinces has increased over the last 16 years. Revision rates are similar the those found in other large database registries. Reverse shoulder arthroplasty prevalence has increased since 2016.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it