Evidence map›Paper›PMID 38867848›Full record

ArticleFrontiers in cardiovascular medicine2024

Short- and long-term performance of risk calculation tools for mortality in patients with acute coronary syndrome.

Takatoku Aizawa, Tomoaki Nagao, Yusuke Oda, Suguru Nakano, Kazuki Ito, Yusuke Shirai, Natsuko Hosoya, Kohei Sawasaki, Junji Arai, Shinya Fujita and 3 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Takatoku AizawaDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Tomoaki NagaoDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Yusuke OdaDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Suguru NakanoDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Kazuki ItoDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Yusuke ShiraiDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Natsuko HosoyaDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Kohei SawasakiDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Junji AraiDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Shinya FujitaDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Masahiro MutoDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Teiji OdaDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Yuichiro MaekawaDivision of Cardiology, Department of Internal Medicine Ⅲ, Hamamatsu University of Medicine, Hamamatsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The mortality rate of acute coronary syndrome (ACS) remains high. Therefore, patients with ACS should undergo early risk stratification, for which various risk calculation tools are available. However, it remains uncertain whether the predictive performance varies over time between risk calculation tools for different target periods. This study aimed to compare the predictive performance of risk calculation tools in estimating short- and long-term mortality risks in patients with ACS, while considering different observation periods using time-dependent receiver operating characteristic (ROC) analysis. Methods: This study included 404 consecutive patients with ACS who underwent coronary angiography at our hospital from March 2017 to January 2021. The ACTION and GRACE scores for short-term risk stratification purposes and CRUSADE scores for long-term risk stratification purposes were calculated for all participants. The participants were followed up for 36 months to assess mortality. Using time-dependent ROC analysis, we evaluated the area under the curve (AUC) of the ACTION, CRUSADE, and GRACE scores at 1, 6, 12, 24, and 36 months. Results: Sixty-six patients died during the observation periods. The AUCs at 1, 6, 12, 24, and 36 months of the ACTION score were 0.942, 0.925, 0.889, 0.856, and 0.832; those of the CRUSADE score were 0.881, 0.883, 0.862, 0.876, and 0.862; and those of the GRACE score 0.949, 0.928, 0.888, 0.875, and 0.860, respectively. Conclusions: The ACTION and GRACE scores were excellent risk stratification tools for mortality in the short term. The prognostic performance of each risk score was almost similar in the long term, but the CRUSADE score might be a superior risk stratification tool in the longer term than 3 years.

Indexed as

ACTION scoreacute coronary syndromeCRUSADE scoreGRACE scoremortalitypredictive performancerisk calculation tooltime-dependent receiver operating characteristic analysis

Identifiers

PMID38867848
PMCPMC11168304

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