Evidence map›Paper›PMID 39399518›Full record

ArticleJACC. Advances2024

Automated Breast Arterial Calcification Score Is Associated With Cardiovascular Outcomes and Mortality.

Tara Shrout Allen, Quan M Bui, Gregory M Petersen, Richard Mantey, Junhao Wang, Nitesh Nerlekar, Mohammad Eghtedari, Lori B Daniels

Abstract read
In one paragraph

Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tara Shrout AllenDivision of Preventive Medicine, University of California-San Diego, La Jolla, California, USA.
Quan M BuiDivision of Cardiovascular Medicine, University of California-San Diego, La Jolla, California, USA.
Gregory M PetersenInternal Medicine Residency Program, University of California-San Diego, La Jolla, California, USA.
Richard ManteyResearch Team, CureMetrix, Inc, La Jolla, California, USA.
Junhao WangResearch Team, CureMetrix, Inc, La Jolla, California, USA.
Nitesh NerlekarBaker Heart and Diabetes Institute, Melbourne, Australia.
Mohammad EghtedariDepartment of Radiology, University of California-San Diego, La Jolla, California, USA.
Lori B DanielsDivision of Cardiovascular Medicine, University of California-San Diego, La Jolla, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast arterial calcification (BAC) on mammograms has emerged as a biomarker of women's cardiovascular disease (CVD) risk, but there is a lack of quantification tools and clinical outcomes studies. Objectives: This study assessed the association of BAC (both presence and quantity) with CVD outcomes. Methods: This single-center, retrospective study included women with a screening mammogram from 2007 to 2016. BAC was quantified using an artificial intelligence-generated score, which was assessed as both a binary and continuous variable. Regression analyses evaluated the association between BAC and mortality and a composite of acute myocardial infarction, heart failure, stroke, and mortality. Analyses were adjusted for age, race, diabetes, smoking, blood pressure, cholesterol, and history of CVD and chronic kidney disease. Results: A total of 18,092 women were included in this study (mean age 56.8 ± 11.0 years; diabetes [13%], hypertension [36%], hyperlipidemia [40%], and smoking [5%]). BAC was present in 4,223 (23%). Over a median follow-up of 6 years, death occurred in 7.8% and 2.3% of women with and without BAC, respectively. The composite occurred in 12.4% and 4.3% of women with and without BAC, respectively. Compared to those without, women with BAC had adjusted HRs of 1.49 (95% CI: 1.33-1.67) for mortality and 1.56 (95% CI: 1.41-1.72) for the composite. Each 10-point increase in the BAC score was associated with higher risk of mortality (HR: 1.08 [95% CI: 1.06-1.11]) and the composite (HR: 1.08 [95% CI: 1.06-1.10]). BAC was especially predictive of future events among younger women. Conclusions: BAC is independently associated with mortality and CVD, especially among younger women. Measurement of BAC beyond presence adds incremental risk stratification. Quantifying BAC using an artificial intelligence algorithm is feasible, clinically relevant, and may improve personalized CVD risk stratification.

Indexed as

artificial intelligencepersonalized risk stratificationpreventionsubclinical atherosclerosiswomen’s health

Identifiers

PMID39399518
PMCPMC11470245

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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.