Abstract 4141272: Trends in Cancer Versus Cancer with Heart Failure Related Mortality in the United States from 1999-2020. A CDC WONDER Database Analysis
Notice bibliographique
Résumé
Aims: This study aimed to analyze two decades of consecutive mortality data to investigate the association between cancer and cancer with heart failure across the United States (US), discerning patterns and disparities in mortality rates. Methods: Data were obtained from the multiple cause of death files using CDC WONDER spanning 1999 to 2020; ICD-10 codes were used to identify cancer and cancer with heart failure related deaths in adults aged ≥25. Demographic and regional distributions of mortality were analyzed. Joinpoint regression analysis was used to determine trends in age-adjusted mortality rates (AAMR) to estimate annual percentage changes (APC). Results: Between 1999 and 2020, 14,309,991 cancer-related deaths occurred in the US out of which 612,346 were associated with cancer and heart failure. The overall AAMR per 100,000 for cancer-related deaths decreased from 353.9 in 1999 to 260.9 in 2020 characterized by an annual percentage change (APC) of -1.60 spanning from 1999 to 2018, and an APC of 0.58 thereafter till 2020. AAMR per 100,000 for heart failure and cancer-related deaths decreased from 16.1 to 14.0, with varied APCs, declining from 1999 to 2013, reaching a minimum AAMR of 11 followed by a rise from 2013 to 2020. For cancer related only, men accounted for 52.7% of deaths, compared to 47.3% for women. Similarly, cancer with heart failure had mortality higher in males. Non-Hispanic (NH) White and Hispanic populations had the highest AAMRs for cancer related mortality while NH White and NH American Indian or Alaskan Native had the highest mortality in cancer with heart failure. Regional differences were observed, with the most cancer-related deaths observed in the South while the most cancer with heart failure related deaths occurred in the Midwest. State-wise stratification further supported the difference. Conclusions: Cancer-related mortality is decreasing while cancer with heart failure related mortality is increasing following initial decline. The highest AAMRs were observed for cancer related mortality among NH White population, men, people living in the South; and non-metropolitan US while cancer with heart failure had highest mortality in NH White population, men, people living in Midwest; and non-metropolitan areas. The findings underscore the need for focused interventions aimed at reducing mortality related to cancer and cancer with heart failure, particularly among vulnerable populations.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».