Evidence map›Paper›PMID 33667445›Full record

ArticleThe American journal of cardiology2021

Thoracic Aortic Calcium for the Prediction of Stroke Mortality (from the Coronary Artery Calcium Consortium).

Olufunmilayo H Obisesan, Albert D Osei, Daniel Berman, Zeina A Dardari, S M Iftekhar Uddin, Omar Dzaye, Olusola A Orimoloye, Matthew J Budoff, Michael D Miedema, John Rumberger and 8 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Determinants of thoracic aortic calcification and its effects on thoracic aortic size.The international journal of cardiovascular imaging · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 11 institutions in 1 country.

Olufunmilayo H ObisesanJohns Hopkins University School of Medicine, Baltimore, Maryland.
Albert D OseiMedstar Union Memorial Hospital, Baltimore, Maryland.
Daniel BermanCedars-Sinai Medical Center, California, California.
Zeina A DardariJohns Hopkins University School of Medicine, Baltimore, Maryland.
S M Iftekhar UddinJohns Hopkins University School of Medicine, Baltimore, Maryland.
Omar DzayeJohns Hopkins University School of Medicine, Baltimore, Maryland.
Olusola A OrimoloyeVanderbilt University Medical Center, Nashville, Tennessee.
Matthew J BudoffLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, California.
Michael D MiedemaMinneapolis Heart Institute Foundation, Minneapolis, Minnesota.
John RumbergerPrinceton Longevity Center, Princeton, New Jersey.
Mohammadhassan MirboloukYale University, New Haven, Connecticut.
Ellen BoakyeJohns Hopkins University School of Medicine, Baltimore, Maryland.
Michelle C JohansenJohns Hopkins University School of Medicine, Baltimore, Maryland.
Alan RozanskiDivision of Cardiology, Mount Sinai St. Luke's Hospital, New York.
Leslee J ShawWeill Cornell Medicine, New York.
Donghee HanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Khurram NasirHouston Methodist Hospital, Houston, Texas.
Michael J BlahaJohns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: mblaha1@jhmi.edu.
Johns Hopkins University · USCedars-Sinai Medical Center · USCornell University · USMedStar Union Memorial Hospital · USMethodist Hospital · USMinneapolis Heart Institute Foundation · USPrinceton University · USSt. Luke's Hospital · USThe Lundquist Institute · USVanderbilt University Medical Center · USYale University · US

Funding

NHLBI NIH HHS L30 HL110027
6 · The paper itself

Abstract

Thoracic aortic calcium(TAC) is an important marker of extracoronary atherosclerosis with established predictive value for all-cause mortality. We sought to explore the predictive value of TAC for stroke mortality, independent of the more established coronary artery calcium (CAC) score. The CAC Consortium is a retrospectively assembled database of 66,636 patients aged ≥18 years with no previous history of cardiovascular disease, baseline CAC scans for risk stratification, and follow-up for 12 ± 4 years. CAC scans capture the adjacent thoracic aorta, enabling assessment of TAC from the same images. TAC was available in 41,066 (62%), and was primarily analyzed as present or not present. To account for competing risks for nonstroke death, we utilized multivariable-adjusted Fine and Gray competing risk regression models adjusted for traditional cardiovascular risk factors and CAC score. The mean age of participants was 53.8 ± 10.3 years, with 34.4% female. There were 110 stroke deaths during follow-up. The unadjusted subdistribution hazard ratio (SHR) for stroke mortality in those who had TAC present compared with those who did not was 8.80 (95% confidence interval [CI]: 5.97, 12.98). After adjusting for traditional risk factors and CAC score, the SHR was 2.21 (95% CI:1.39,3.49). In sex-stratified analyses, the fully adjusted SHR for females was 3.42 (95% CI: 1.74, 6.73) while for males it was 1.55 (95% CI: 0.83, 2.90). TAC was associated with stroke mortality independent of CAC and traditional risk factors, more so in women. The presence of TAC appears to be an independent risk marker for stroke mortality.

Indexed as

AdultAgedAorta, ThoracicAortic DiseasesAtherosclerosisCause of DeathDiabetes MellitusDyslipidemiasFemaleHeart Disease Risk FactorsHumansHypertensionMaleMiddle AgedMultidetector Computed TomographyProportional Hazards Models

Identifiers

PMID33667445
PMCPMC8113160
OpenAlexW3133677416

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.