Age and Sex Differences and 20-Year Trends (1986 to 2005) in Prehospital Delay in Patients Hospitalized With Acute Myocardial Infarction
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
BACKGROUND: The prompt administration of coronary reperfusion therapy for patients with an evolving acute myocardial infarction (AMI) is crucial in reducing mortality and the risk of serious clinical complications in these patients. However, long-term trends in extent of prehospital delay and factors affecting patient's care-seeking behavior remain relatively unexplored, especially in men and women of different ages. The objectives of this study were to examine the overall magnitude and 20-year trends (1986 to 2005) in duration of prehospital delay in middle-aged and elderly men and women hospitalized with AMI. METHODS AND RESULTS: The study sample consisted of 5967 residents of the Worcester, Mass, metropolitan area hospitalized at all greater Worcester medical centers for AMI between 1986 and 2005 who had information available about duration of prehospital delay. Compared with men <65 years, patients in other age-sex strata exhibited longer prehospital delays over the 20-year period under study. The multivariable-adjusted medians of prehospital delay were 1.96, 2.07, and 2.57 hours for men <65 years, men 65 to 74 years, and men ≥75 years and 2.08, 2.33, and 2.27 hours for women <65 years, women 65 to 74 years, and women ≥75 years, respectively. These age and sex differences have narrowed over time, which has been largely explained by changes in patient's comorbidity profile and AMI-associated characteristics. CONCLUSIONS: Our results suggest that duration of prehospital delay in persons with symptoms of AMI has remained essentially unchanged during the 20-year period under study and elderly individuals are more likely to delay seeking timely medical care than younger persons.
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) | 0.001 | 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