Evidence map›Paper›PMID 38586433›Full record

ArticleAmerican heart journal plus : cardiology research and practice2024

Examining the interplay between cardiovascular disease and cancer incidence: Data from NHANES III and continuous.

Omar M Makram, Harikrishnan Hyma Kunhiraman, Ryan A Harris, Catherine C Hedrick, Khurram Nasir, Neal L Weintraub, Xiaoling Wang, Avirup Guha

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Tackling the Cardio-Kidney-Metabolic Burden in Cancer.Current atherosclerosis reports · 2025
    Review
  3. Article
  4. Article
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

8 authors.

Omar M MakramDepartment of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Harikrishnan Hyma KunhiramanCardio-Oncology Program, Department of Medicine, Cardiology Division, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Ryan A HarrisGeorgia Prevention Institute, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Catherine C HedrickImmunology Center of Georgia, Augusta University, Augusta, GA, USA.
Khurram NasirDivision of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
Neal L WeintraubCardio-Oncology Program, Department of Medicine, Cardiology Division, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Xiaoling WangGeorgia Prevention Institute, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Avirup GuhaCardio-Oncology Program, Department of Medicine, Cardiology Division, Medical College of Georgia at Augusta University, Augusta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to investigate the relationship between risk factors of cancer among individuals with existing cardiovascular disease (CVD). Methods: The analysis included 438 and 2100 CVD patients aged 65+ from NHANES-III and Continuous datasets, respectively. Competing risk models with subdistribution hazards ratio (aHR) were used to identify risk factors. Results: Females in NHANES-III had lower cancer risk (aHR 0.39, Discussion: This study highlights the interplay between traditional risk factors and the elevated risk of cancer in CVD patients. Further research with larger samples and wider age ranges is needed to solidify these findings and inform intervention strategies.

Indexed as

CancerCardio-oncologyCVDNHANES

Identifiers

PMID38586433
PMCPMC10994959

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Registered trials

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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.