Evidence map›Paper›PMID 42286660›Full record

ArticleCardio-oncology (London, England)2026

Heterogeneity in proportional cardiovascular co-listing on cancer death certificates in the United States: a national multiple cause-of-death analysis, 1999-2020.

Faizan Ahmed, Tehmasp Rehman Mirza, Yusra Junaid, Hassaan Abid, Haris Bin Tahir, Areehah Zafar Masood, Zaima Afzaal, Gabriel Benjamen, Brijesh Patel

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Article in Cardio-oncology (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Faizan AhmedDepartment of Internal Medicine, Hackensack Meridian Health, Shore University Medical Center, Neptune, NJ, USA.
Tehmasp Rehman MirzaShalamar Medical & Dental College, Shalamar Institute of Health Sciences, Lahore, Punjab, Pakistan.
Yusra JunaidDow Medical College, Dow University of Health and Sciences, Karachi, Sindh, Pakistan.
Hassaan AbidDepartment of Internal Medicine, IU Health Ball Memorial Hospital, Muncie, IN, USA.
Haris Bin TahirLahore General Hospital, Lahore, Pakistan.ORCID http://orcid.org/0009-0004-7057-9975
Areehah Zafar MasoodDepartment of Medicine, Ziauddin Medical College, Karachi, Sindh, Pakistan.
Zaima AfzaalAmeer-ud-din Medical College, Lahore, Pakistan.
Gabriel BenjamenSchool of Medicine, St. George's University, St. George's, Grenada. gbenjame@sgu.edu.
Brijesh PatelDepartment of Cardiology, Indiana University School of Medicine, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) and cancer share common risk factors, and cancer survivors experience elevated long-term cardiotoxicity. Traditional risk-based metrics require person-time denominators that are unavailable in aggregate public health databases. This study introduces a proportional co-listing framework to detect population-level cardiovascular surveillance signals on death certificates across cancer types and demographic strata.

methodsWe conducted a national cross-sectional surveillance analysis using CDC WONDER Multiple Cause-of-Death data from 1999 to 2020 for decedents aged ≥ 15 years. Utilizing an "any-mention" framework, we calculated the Proportional Mortality Ratio (PMR), defined as the ratio of CVD co-listing on cancer-related death certificates to CVD listing on non-cancer certificates. Temporal trends were evaluated using joinpoint regression to estimate the average annual percent change (AAPC). Analyses were stratified by age, sex, race/ethnicity, geography, and index cancer subtypes (lung, colon, and leukaemia).

resultsOf 56,014,102 death certificates analyzed, 13,917,133 (24.8%) listed a malignant neoplasm, of which 3,997,238 (28.7%) co-listed CVD. Across the lifespan, the overall PMR followed a reverse J-shaped curve. Proportional co-listing was highest in the youngest cohort (ages 15-24: PMR 1.828, 95% CI: 1.778-1.879), declined to a nadir at ages 55-64 (PMR 0.336, 95% CI: 0.335-0.337), and rose modestly in older adulthood. From 1999 to 2020, PMRs increased significantly across all adult age groups, peaking at ages 55-64 (AAPC 1.69%, 95% CI: 1.52-1.83, p < 0.001). Young-adult PMR elevations were consistently higher in male, metropolitan, and Hispanic/Latino decedents. Among subtypes, leukaemia demonstrated the highest relative CVD co-listing in young adults (PMR 2.174), whereas colon cancer showed no statistically significant elevation (PMR 1.173, 95% CI: 0.951-1.447).

conclusionsCardiovascular co-listing on US cancer death certificates is highly patterned by age, demographics, and cancer subtype. While elevated PMRs in young adults are consistent with patterns previously reported in cardio-oncology literature, sub-unity PMRs in middle-aged and older adults may reflect under-documentation of cardiovascular comorbidities in oncology settings alongside denominator effects arising from frequent CVD listing on non-cancer certificates. Improving comorbidity documentation on death certificates may enhance the utility of national administrative data for cardio-oncology surveillance and research.

Identifiers

PMID42286660
PMCPMC13651163

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