Evidence map›Paper›PMID 39541059›Full record

ReviewThe international journal of cardiovascular imaging2024

Management of acute chest pain in the Emergency Department: benefits of coronary computed tomography angiography.

Gianmarco Sarto, Beatrice Simeone, Luigi Spadafora, Marco Bernardi, Erica Rocco, Giuseppe Pelle, Quirino Liberati, Maurizio Forte, Leonardo Schirone, Francesco Versaci and 9 more

Abstract readReviewCase Reports
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. AI-Driven multi-view learning from CCTA for myocardial infarction diagnosis.The international journal of cardiovascular imaging · 2026
    Article
  4. Article
  5. 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

19 authors.

Gianmarco SartoICOT Istituto Marco Pasquali, Via Franco Faggiana 1668, Latina, 04100, Italy.
Beatrice SimeoneICOT Istituto Marco Pasquali, Via Franco Faggiana 1668, Latina, 04100, Italy.
Luigi SpadaforaICOT Istituto Marco Pasquali, Via Franco Faggiana 1668, Latina, 04100, Italy.
Marco BernardiICOT Istituto Marco Pasquali, Via Franco Faggiana 1668, Latina, 04100, Italy.
Erica RoccoICOT Istituto Marco Pasquali, Via Franco Faggiana 1668, Latina, 04100, Italy.
Giuseppe PelleDepartment of Diagnostic and Interventional Radiology, 'Santa Maria Goretti' Hospital, Latina, Italy.
Quirino LiberatiICOT Istituto Marco Pasquali, Via Franco Faggiana 1668, Latina, 04100, Italy.
Maurizio ForteIRCCS Neuromed, Pozzilli, IS, Italy.
Leonardo SchironeIRCCS Neuromed, Pozzilli, IS, Italy.
Francesco VersaciDepartment of Cardiology, 'Santa Maria Goretti' Hospital, Latina, Italy.
Rita Dal PiazDepartment of Cardiology, 'Santa Maria Goretti' Hospital, Latina, Italy.
Silvia PalmerioIRCCS Neuromed, Pozzilli, IS, Italy.
Antonio BarberiDepartment of Diagnostic and Interventional Radiology, 'Santa Maria Goretti' Hospital, Latina, Italy.
Giacomo FratiIRCCS Neuromed, Pozzilli, IS, Italy.
Davide BelliniDepartment of Medical Surgical Sciences and Biotechnologies, Sapienza University of Rome, C.so della Repubblica 79, Latina, 04100, Italy.
Marco RengoDepartment of Medical Surgical Sciences and Biotechnologies, Sapienza University of Rome, C.so della Repubblica 79, Latina, 04100, Italy.
Iacopo CarboneDepartment of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome-Academic Diagnostic Imaging Division, I.C.O.T. Hospital, Latina, Italy.
Sebastiano SciarrettaIRCCS Neuromed, Pozzilli, IS, Italy.
Valentina ValentiDepartment of Medical Surgical Sciences and Biotechnologies, Sapienza University of Rome, C.so della Repubblica 79, Latina, 04100, Italy. vale.valenti@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute chest pain (ACP) is a frequent cause of Emergency Department (ED) admissions, with millions of cases reported globally each year. Timely and accurate diagnosis is crucial due to the wide range of underlying causes, such as acute coronary syndrome (ACS), pulmonary embolism (PE), aortic dissection, and others. Misdiagnosis can lead to missed life-saving interventions or, alternatively, unnecessary hospitalizations, escalating healthcare costs. While risk stratification tools like the HEART, GRACE, and TIMI scores are useful, additional imaging is often required to achieve diagnostic precision. Coronary computed tomography angiography (CCTA) has shown significant potential in enhancing diagnostic accuracy and improving patient outcomes. In this review, we explore the challenges physicians encounter when evaluating ACP in the ED, emphasizing the utility of CCTA as a key diagnostic tool. Additionally, we present a clinical case that illustrates how CT scan effectively aids in diagnosing patients with ambiguous symptoms, with CT imaging playing a pivotal role in identifying the underlying pathology.

Indexed as

Computed Tomography AngiographyCoronary AngiographyEmergency Service, HospitalPredictive Value of TestsAngina PectorisCoronary Artery DiseaseFemaleHumansMaleMiddle AgedPrognosisReproducibility of ResultsAcute chest painCoronary artery disease (CAD)Coronary comuputed tomography angiography (CCTA)Emergency departmentLife-threating conditionsPulmonary embolism (PE)Triple rule out

Identifiers

What OpenQuestion holds

Textmetadata
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.