Evidence map›Paper›PMID 39310053›Full record

ArticleAmerican heart journal plus : cardiology research and practice2024

Heart disease and heart failure: Trends and disparities in mortality rates in the United States from 2000 to 2020.

C A Dimala, C Reggio, W Khalife, A Donato

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

C A DimalaDivision of Cardiovascular Medicine, University of Texas Medical Branch, Galveston, TX, United States of America.
C ReggioDepartment of Medicine, Reading Hospital, Tower Health, West Reading, PA, United States of America.
W KhalifeDivision of Cardiovascular Medicine, University of Texas Medical Branch, Galveston, TX, United States of America.
A DonatoDepartment of Medicine, Reading Hospital, Tower Health, West Reading, PA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study objective: To describe the age, sex and racial disparities in mortality rates for heart disease (HD) and heart failure (HF) in the United States (US) between 2000 and 2020. Design: This was an ecological study with trend analysis of mortality rates. Setting: United States. Participants: Adults aged 18 years and above. Main outcomes measures: Mortality rates per 100,000 for HD and HF. Results: There was a significant decrease in the age-standardized mortality rate for HD over the past two decades (from 343.5 per 100,000 cases to 215.1 per 100,000 cases, p < 0.001). HD mortality rates were significantly higher in males (p < 0.001), non-Hispanic blacks (p < 0.001) and in adults aged 65+ (p < 0.001) and 75+ (p < 0.001). There was no significant change in the age-standardized mortality rate for HF (from 26.9 per 100,000 cases to 25.7 per 100,000 cases (p = 0.706)) due to a reversal in the trend beyond 2011. Though the HF mortality rates were significantly lower in males (p = 0.001), and not significantly different in non-Hispanic blacks and non-Hispanic whites, there were shifts in trends beyond 2016, with higher rates in males and in non-Hispanic blacks compared to non-Hispanic whites. Conclusions: In summary, this study underscores significant reductions in heart disease mortality rates over the past two decades, alongside persistent disparities among different demographic groups. It also highlights emerging trends in heart failure mortality rates in particular population subgroups in recent years, necessitating further exploration to inform targeted interventions and policies.

Indexed as

AgeHeart diseaseHeart failureRaceSexTrends

Identifiers

PMID39310053
PMCPMC11415632

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.