Evidence map›Paper›PMID 39895921›Full record

ArticleAmerican heart journal plus : cardiology research and practice2025

Underlying and contributing causes of mortality from CDC WONDER-Insights for researchers.

Abdul Mannan Khan Minhas, Laurence S Sperling, Sadeer Al-Kindi, Dmitry Abramov

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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.

Abdul Mannan Khan MinhasDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Laurence S SperlingDivision of Cardiovascular Medicine, Emory University School of Medicine, Atlanta, GA, United States of America.
Sadeer Al-KindiDivision of Cardiology, Houston Methodist, Houston, TX, United States of America.
Dmitry AbramovDivision of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The multiple cause of death files available through the Center for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) present underlying and contributing causes of mortality. We sought to evaluate potential differences in mortality reporting that may occur based on utilization of only underlying versus utilization of both underlying and contributing cause of mortality. Methods: All-cause and top 5 underlying causes of deaths in individuals ≥25 years of age from 2011 to 2019 occurring within United States were extracted from CDC WONDER. Deaths for the top 5 underlying causes of death as underlying and as underlying or contributing causes were extracted. For each cause, we calculated the percentage of the deaths that would be reported if only the underlying versus the underlying or contributing mortality was reported. Results: Between 2011 and 2019, the top 5 underlying causes of mortality were heart disease, malignant neoplasm, chronic lower respiratory disease, cerebrovascular disease, and accidents. For these causes, the percentages of deaths presented by reporting (underlying)/(underlying or contributing) causes were 53 %, 91 %, 50 %, 59 %, and 79 % respectively. Discussion/conclusion: Data within the commonly utilized multiple cause of death files from CDC WONDER demonstrate that reliance solely on the underlying cause of mortality may underestimate important contributions of common contributing causes. These findings could aid in the understanding of published research and may shape the framework for future studies utilizing multiple cause of death data through CDC WONDER.

Indexed as

CDC WONDERContributingMortalityUnderlying

Identifiers

PMID39895921
PMCPMC11782113

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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.