Incidence of Second Cervical Vertebral Fractures Far Surpassed the Rate Predicted by the Changing Age Distribution and Growth Among Elderly Persons in the United States (2005–2008)
Bibliographic record
Abstract
STUDY DESIGN: Nationwide epidemiological cohort study. OBJECTIVE: To characterize the incidence of second cervical vertebral (C2) fractures by age and geographical region among the elderly Medicare population and to elucidate if the rate changed in the years 2005 to 2008. SUMMARY OF BACKGROUND DATA: Recent publications hypothesized that the rate of cervical vertebral fractures may be increasing. To date, there are no published nationwide reports describing the incidence and demographics of these injuries in the elderly US population. METHODS: Incidence of C2 fracture in the years 2005 to 2008 was determined by querying PearlDiver Technologies, Inc. (Warsaw, IN), a commercially available database, using International Classification of Diseases code 805.02. Rates were calculated using the PearlDiver reported person-counts as the numerator and the Center for Medicare and Medicare Services midyear population file as the denominator, and reported per 10,000 person-years (10,000 p-y). The age and geographical distributions of fractures were examined. Variability in rates was analyzed using the mean, standard deviation, 95% confidence intervals, χ tests, and Pearson correlation coefficients. RESULTS: Although the elderly population increased by 6% between 2005 and 2008, the annual incidence of C2 fracture rose by 21%, from 1.58 to 1.91 per 10,000 p-y, trending upward in a straight-line function (r = 0.999, P = 0.0006). The incidence of fracture varied between age groups; however, an increase was observed in all age groups. Persons aged 65 to 74 years (the youngest age group) experienced the lowest incidence (0.63 in 2005 to 0.71 in 2008), and the rate of increase was the smallest among the age groups examined (13%). Persons aged 85 and older demonstrated the highest incidence (4.36-5.67) and the greatest increase (30%). CONCLUSION: From 2005 to 2008, the overall incidence of C2 fracture rose at a rate that was 3.5 times faster than the elderly population growth.
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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 | 0.001 | 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 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".