Evidence map›Paper›PMID 41174486›Full record

ArticleInternational journal of emergency medicine2025

A novel scoring algorithm for chest pain can effectively support the diagnosis of acute coronary syndrome in prehospital settings: a cross-sectional study.

Keita Iyama, Shuntaro Sato, Ryohei Akashi, Kensho Baba, Koichi Hayakawa, Satoshi Ikeda, Koji Maemura, Osamu Tasaki

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2025. 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.

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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

8 authors.

Keita Iyama *Acute & Critical Care Center, Nagasaki University Hospital, 1-7-1, Sakamoto, Nagasaki City, Nagasaki, 852-8501, Japan. k-iyama@nagasaki-u.ac.jp.ORCID http://orcid.org/0000-0002-9267-6977
Shuntaro Sato *Clinical Research Center, Nagasaki University Hospital, Nagasaki, Japan.
Ryohei AkashiDepartment of Cardiovascular Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Kensho BabaDepartment of Cardiology, Miyazaki Medical Association Hospital, Miyazaki, Japan.
Koichi HayakawaAcute & Critical Care Center, Nagasaki University Hospital, 1-7-1, Sakamoto, Nagasaki City, Nagasaki, 852-8501, Japan.
Satoshi IkedaDepartment of Cardiovascular Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Koji MaemuraDepartment of Cardiovascular Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Osamu TasakiAcute & Critical Care Center, Nagasaki University Hospital, 1-7-1, Sakamoto, Nagasaki City, Nagasaki, 852-8501, Japan.

Funding

Terumo Foundation for Life Sciences and Arts 24-Ⅲ1026
6 · The paper itself

Abstract

backgroundEarly identification of acute coronary syndrome (ACS) in prehospital settings is crucial for optimal patient outcomes. However, existing risk assessment tools require laboratory data, making them unsuitable for prehospital use. Therefore, emergency medical technicians (EMTs) lack appropriate tools for prehospital ACS assessment and must rely on individual diagnostic skills, despite the importance of reducing prehospital time. To address this issue, a novel scoring system-Nagasaki Prehospital Chest Pain Assessment & Risk Determination (N-CARD)-was developed using only prehospital information and validated for use by EMTs, with the aim of improving patient outcomes and optimizing healthcare resource utilization.

methodsIn total, 584 participants with chest pain or suspected cardiac etiology who underwent a prehospital 12-lead electrocardiogram (ECG) between April 2023 and March 2024 were analyzed. The prehospital diagnostic score for ACS, N-CARD score, was developed using logistic regression based on the following variables: age, pain location, pain type, pain duration, coronary risk factors, and 12-lead ECG findings. Modeling was performed separately for high-risk and low-risk groups based on prior coronary artery disease (CAD) history. The model's performance was internally validated using bootstrap methods.

resultsThe N-CARD scoring system was developed separately for participants without (N = 433) and with (N = 151) a history of CAD. The score ranged from - 1 to 10 for those without a history of CAD and 0 to 32 for those with a history of CAD. For participants without a history of CAD, scores ≥ 6 suggested ACS (specificity > 90%), whereas scores ≤ 3 suggested non-ACS (sensitivity > 90%), with an optimism-corrected area under the curve (AUC) of 0.90. For participants with a history of CAD, scores ≥ 24 suggested ACS, whereas scores ≤ 6 suggested non-ACS, with an optimism-corrected AUC of 0.69.

conclusionsThe N-CARD scoring system, based solely on prehospital information, provides EMTs with an effective tool for assessing ACS risk in prehospital settings, potentially optimizing transport decisions and improving patient outcomes.

Indexed as

Acute coronary syndromeChest painEmergency medical techniciansOptimizing patient transportRisk assessment

Identifiers

PMID41174486
PMCPMC12577411

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LicenceCC BY-NC-ND
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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.