Impacto de las políticas de salud en la incidencia de infarto de miocardio durante la pandemia por COVID-19 en Uruguay
Bibliographic record
Abstract
Introduccin: las medidas sanitarias de emergencia impuestas para contener el SARS-CoV-2 pueden tener efectos colaterales en la atencin de enfermedades cardiovasculares. Los datos mundiales de los pases sobre la incidencia de infarto agudo de miocardio con elevacin del segmento ST (IAMCEST) durante la pandemia son fundamentales para la poltica sanitaria futura. Objetivos: nuestro objetivo fue determinar si las medidas sanitarias de emergencia impuestas en Uruguay tuvieron un impacto directo en la calidad de la atencin en la reperfusin del IAMCEST. Mtodos: realizamos un estudio retrospectivo poblacional de todo el pas para determinar la incidencia de reperfusin de IAMCEST (fibrinolticos e intervencin coronaria percutnea, FBL e ICP respectivamente) durante el perodo sanitario de emergencia. La tasa de incidencia de la reperfusin, el tiempo hasta la reperfusin y la mortalidad asociada se recopilaron de la base de datos del Fondo Nacional de Recursos (organizacin gubernamental nica a cargo de la financiacin de la reperfusin del IAMCEST en Uruguay). Estos mismos datos se recuperaron para 2019, 2018 y 2017
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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 | 0.022 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| 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; both teacher heads agree on what is shown here.
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".