S1626 Shifting Patterns of Mortality: Liver Fibrosis and Cirrhosis Trends in African Americans and Caucasians in the United States (1999-2020)
Bibliographic record
Abstract
Introduction: Liver fibrosis and cirrhosis are life-threatening conditions characterized by scarring of the liver tissue. They can result from various causes and lead to impaired liver function, severe complications, and increased mortality rates. This study aimed to analyze the mortality trends related to liver fibrosis and cirrhosis among different racial groups in the United States. Methods: In this study, we utilized the Wide-ranging Online Data for Epidemiologic Research (WONDER) database provided by the U.S. Centers for Disease Control and Prevention to identify patients who had died from liver fibrosis and cirrhosis, as determined by an International Classification of Diseases (ICD)-code version (K74.x) registered as the underlying cause of death. We then conducted a comparative analysis, examining and contrasting the mortality rates associated with liver fibrosis and cirrhosis between White and Black populations in the United States from 1999 to 2020. To ensure accurate comparisons, age-adjusted mortality rates were calculated per 1000,000 individuals (PMP), standardized using the US census data from 1999, and stratified based on race. Results: Between 1999 and 2020, our study identified a total of 353,887 deaths attributed to liver fibrosis and cirrhosis in 2 racial groups. This corresponded to an overall age-adjusted mortality rate of 50.3 per 1000,000 persons (PMP). Among these deaths, 321,779 occurred in individuals of White race, while 32,108 occurred in individuals of Black race. The age-adjusted mortality rate for liver fibrosis and cirrhosis was found to be 51.4 PMP in White individuals and 39.3 PMP in Black individuals. Notably, over the course of the 21-year period, we observed a significant decrease of 16% in the age-adjusted mortality rate among Black individuals, declining from 47.3 PMP in 1999 to 39.6 PMP in 2020. In contrast, there was an observed increase in age-adjusted mortality rates among White individuals, with a rise of 13% from 51.1 PMP in 1999 to 57.7 PMP in 2020. Conclusion: In summary, this study highlights significant variations in liver fibrosis and cirrhosis-related mortality rates among different racial groups in the United States between 1999 and 2020. The findings indicate that White individuals experienced the highest mortality rates, while African Americans exhibited the lowest rates. Significantly, the study also reveals a decline in liver fibrosis and cirrhosis-related mortality rates among Black individuals over the 21-year period, while rates increased among White individuals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".