Epidemiology of Acute Primary Tendon Ruptures Presenting to Emergency Departments in the United States
Bibliographic record
Abstract
Background: There is literature on epidemiologic trends in acute primary tendon ruptures. However, most of the data used in the literature is centered in Europe or Canada, whereas there has been little analysis of trends in primary tendon ruptures in the United States (US), especially data collected after 2010. Purpose: To report the epidemiology of upper and lower extremity acute primary tendon ruptures presenting to emergency departments (ED) in the US and compare incidence ratios based on race using the National Electronic Injury Surveillance System (NEISS) Database. Study Design: Descriptive epidemiology study. Methods: The NEISS database was queried for acute primary tendon ruptures in the US from 2001 to 2020. National estimates (N) and estimated incidence ratios (IR) reported as per 100,000 person-years at risk (PYR) for acute primary tendon ruptures were calculated using NEISS sample estimates (n) and US Census Bureau population estimates. Temporal trends in annual IRs throughout the study period were assessed with regression analyses. Results: From 2001 to 2020, there were an N of 235,189 (95% CI, 186,833-283,546) ED visits for acute tendon ruptures in the US, which occurred in a population of 6,183,899,410 person-years for an overall IR of 3.80 PYR (95% CI, 3.02-4.59). Acute primary Achilles (38.2%), biceps brachii (16.2%), and patellar tendon (12.7%) ruptures were the most common injuries. Black patients had the highest overall IR, with an N of 38,679 ruptures (95% CI, 21,552-55,807) occurring in this group for an overall IR of 4.78 PYR (95% CI, 2.66-6.89). The IR of lower extremity tendon ruptures was significantly higher in Black patients, but did not differ for upper extremity tendon ruptures. The annual incidence of all tendon ruptures in the US increased significantly from 2001 to 2020, with an average annual percent of 3 (95% CI, 2.3-3.7; P < .0001). Conclusion: Our study demonstrated that the IR of acute primary tendon ruptures presenting to the ED in the US has increased from 2001 to 2020. Black/African-American individuals have an increased IR compared with White populations.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".