Evidence map›Paper›PMID 31707516›Full record

ArticleHeart and vessels2020

Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome.

Hideo Oishi, Hideki Horibe, Yuichiro Yamase, Chikara Ueyama, Yoshio Takemoto, Toshimasa Shigeta, Takeshi Hibino, Taizo Kondo, Susumu Suzuki, Hideki Ishii and 1 more

Registry-linked trialAbstract read
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In one paragraph

Article in Heart and vessels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06956924 (CT-Based Abdominal Aortic Calcium Score and CAD-RADS 2.0 in Elderly Chest Pain), which is not on this 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.

NCT06956924 nacompletednot on this mapstarted 2021, after this paper: background citation

CT-Based Abdominal Aortic Calcium Score and CAD-RADS 2.0 in Elderly Chest Pain: A Cohort Study

TypeinterventionalSponsorChang Gung Memorial HospitalRan2021 to 2023Enrolled68ConditionsCoronary Artery Disease (CAD)ArmsCCTA
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Hideo OishiDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Hideki HoribeDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan. hideki-horibe@tajimi-hospital.jp.
Yuichiro YamaseDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Chikara UeyamaDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Yoshio TakemotoDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Toshimasa ShigetaDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Takeshi HibinoDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Taizo KondoDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, 507-8522, Japan.
Susumu SuzukiDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hideki IshiiDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toyoaki MuroharaDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a semi-quantitative measure of AAC, for CVEs in patients with ACS. We evaluated 314 patients with ACS. All patients underwent successful percutaneous coronary intervention to the culprit coronary vessel without in-hospital adverse events. ACI was calculated on non-contrast computed tomography images. CVEs were defined as a composite of cardiovascular death, ACS recurrence, and stroke. During a median follow-up period of 19.1 months, CVEs occurred in 29 patients (9.2%). Multivariable regression analysis after adjustment for age and gender showed a significantly higher baseline ACI in patients with CVEs than in those without [median (interquartile ranges), 42.1 (25.9-60.2) vs. 20.8 (8.8-38.6) %; P = 0.021]. The cutoff value of ACI for prediction of CVEs, estimated by receiver-operating characteristic analysis, was 29.2%, with sensitivity of 76% and specificity of 64% (area under the curve, 0.69). After adjustment for conventional cardiovascular risk factors, Cox analysis showed high ACI (≥29.2%) to be significantly associated with increased risk of CVEs (P = 0.011; hazard ratio, 1.82). Multivariate analysis identified high ACI as an independent predictor of CVEs (P = 0.012; hazard ratio, 1.80). Stepwise forward selection procedure also showed that high ACI was a significant independent determinant of CVEs (P = 0.004; R

Indexed as

AortographyComputed Tomography AngiographyPercutaneous Coronary InterventionAcute Coronary SyndromeAgedAged, 80 and overAorta, AbdominalAortic DiseasesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRecurrenceRisk AssessmentAbdominal aortic calcification indexAcute coronary syndromeCardiovascular eventNon-contrast CT scan

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Registered trials

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.