Disease Burden of Medial Epicondylitis in the USA is Increasing: An Analysis of 19, 856 Patients from 2007 to 2014
Bibliographic record
Abstract
BACKGROUND: Medial epicondylitis (ME), or "golfer's elbow," is often treated initially by conservative means. Up to 15% of recalcitrant cases require surgical intervention, according to small sample populations, but no national study has determined the incidence of the diagnosis or corroborated the rate of surgical intervention. PURPOSE/QUESTION: We sought to review the annual incidence of ME, surgical rates, and health care costs in a population setting. METHODS: A national database was queried for ME from 2007 to 2014. Annual rates and the percentage of diagnosed cases subjected to surgical intervention were recorded. Epidemiologic data was reported with descriptive statistics, and the significant trends over time were analyzed using linear regression. RESULTS: We identified 19,856 cases of ME in the study period. There was a significant increase in the annual incidence and overall incidence per 10,000 patients. The proportion of diagnoses in patients under 65 years of age decreased significantly, while the proportion in those 65 years of age or older significantly increased. The annual number of surgical interventions significantly increased over the study period, although the annual proportion of diagnosed cases proceeding to surgery remained constant. The proportion of patients 65 years of age or older undergoing surgery significantly increased. Total reimbursement for the management of ME during the study period was $1,877,189. While there was a significant increase in the total annual reimbursement, annual per-patient reimbursement did not change significantly. CONCLUSIONS: While the annual incidence of ME and surgical treatment of ME increased significantly from 2007 to 2014, the proportion of cases treated surgically did not. Notably, the proportion of patients 65 years of age or older diagnosed with and being surgically treated for ME has increased in recent years. Total reimbursement for ME has steadily risen, although per-patient reimbursement rates have not significantly changed.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".