Evidence map›Paper›PMID 39867511›Full record

ArticleCureus2025

Use of Coronary CTA to Triage Patients With Low to Intermediate Risk for CADs in an Acute Care Facility Can Help Lower Healthcare Costs When Compared With the Current Standard of Care: A Retrospective Study.

Olaniyi Fadeyi, Saviz Saghari, Varun Dang, Abhirami Shankar, Harpreet Singh

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Olaniyi FadeyiInternal Medicine, West Anaheim Medical Center, Anaheim, USA.
Saviz SaghariInternal Medicine, West Anaheim Medical Center, Anaheim, USA.
Varun DangInternal Medicine, West Anaheim Medical Center, Anaheim, USA.
Abhirami ShankarInternal Medicine, West Anaheim Medical Center, Anaheim, USA.
Harpreet SinghCardiology, West Anaheim Medical Center, Anaheim, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute chest pain is one of the most common reasons for ED visits in the United States. Most patients are eventually admitted to the hospital to "rule out ACS" even when there are no significant EKG abnormalities or elevated cardiac enzymes. In addition to undergoing expensive tests while in the hospital, patients are also exposed to iatrogenic harm thereby worsening the overall healthcare costs. Meanwhile, the use of coronary computed tomography angiography (CTA) as a "gatekeeper" diagnostic test for patients with low to intermediate risk for coronary artery diseases (CADs) has significantly lowered hospital admissions and associated costs. However, coronary CTA may not be helpful for all classes of patients. Therefore, this study seeks to determine if the distribution of patients presenting to the ED with chest pain in an acute care facility will justify an investment in coronary CTA and contribute to lowering healthcare costs. Patients' data between July 2022 and June 2023 were considered in our analysis. Results revealed that a significant number of patients who presented to the ED for chest pain and were subsequently admitted to the hospital for further work-up would have benefited from coronary CTA screening without any need for further inpatient work-up. Also, cost analysis showed that the use of coronary CTA would have helped significantly lower healthcare costs in this facility.

Indexed as

cad: coronary artery diseasecoronary computed tomoangiographycost of hospitalizationhealthcare cost savingslow-cost healthcareretrospective studies

Identifiers

PMID39867511
PMCPMC11763085

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Registered trials

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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.