Evidence map›Paper›PMID 41590879›Full record

ReviewJournal of cardiovascular development and disease2026

Advances in the Diagnosis and Management of High-Risk Cardiovascular Conditions: Biomarkers, Intracoronary Imaging, Artificial Intelligence, and Novel Anticoagulants.

Clarissa Campo Dall'Orto, Rubens Pierry Ferreira Lopes, Gilvan Vilella Pinto, Pedro Gabriel Senger Braga, Marcos Raphael da Silva

Abstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2026. 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.

Clarissa Campo Dall'OrtoDepartment of Hemodynamics, Brazilian Society for Health Support Hospital, Teixeira de Freitas 45995-000, Brazil.ORCID 0000-0002-1203-7738
Rubens Pierry Ferreira LopesDepartment of Hemodynamics, Brazilian Society for Health Support Hospital, Teixeira de Freitas 45995-000, Brazil.ORCID 0000-0002-1303-220X
Gilvan Vilella PintoDepartment of Hemodynamics, Brazilian Society for Health Support Hospital, Teixeira de Freitas 45995-000, Brazil.ORCID 0009-0007-4131-8209
Pedro Gabriel Senger BragaPro-Coracao Clinic, Sao Paulo 05021-010, Brazil.
Marcos Raphael da SilvaDepartment of Hemodynamics, Brazilian Society for Health Support Hospital, Teixeira de Freitas 45995-000, Brazil.ORCID 0009-0009-0200-2927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding thrombosis in acute coronary syndromes (ACSs) has evolved through advances in biomarkers, intracoronary imaging, and emerging analytical tools, improving diagnostic accuracy and risk stratification in high-risk patients. This narrative review provides an integrative overview of contemporary evidence from clinical trials, meta-analyses, and international guidelines addressing circulating biomarkers, intracoronary imaging modalities-including optical coherence tomography (OCT), intravascular ultrasound (IVUS), and near-infrared spectroscopy (NIRS)-artificial intelligence-based analytical approaches, and emerging antithrombotic therapies. High-sensitivity cardiac troponins and natriuretic peptides remain the most robust and guideline-supported biomarkers for diagnosis and prognostic assessment in ACS, whereas inflammatory markers and multimarker strategies offer incremental prognostic information but lack definitive validation for routine therapeutic guidance. Intracoronary imaging with IVUS or OCT is supported by current guidelines to guide percutaneous coronary intervention in selected patients with ACS and complex coronary lesions, leading to improved procedural optimization and clinical outcomes compared with angiography-guided strategies. Beyond procedural guidance, OCT enables detailed plaque characterization and mechanistic insights into ACS, while NIRS provides complementary information on lipid-rich plaque burden, primarily for risk stratification based on observational evidence. Artificial intelligence represents a rapidly evolving tool for integrating clinical, laboratory, and imaging data, with promising results in retrospective and observational studies; however, its clinical application in thrombosis management remains investigational due to the lack of outcome-driven randomized trials. In the therapeutic domain, factor XI inhibitors have demonstrated favorable safety profiles with reduced bleeding and preserved antithrombotic efficacy in phase II and early phase III studies, but their definitive role in ACS management awaits confirmation in large, outcome-driven randomized trials. Overall, the integration of biomarkers, intracoronary imaging, and emerging analytical and pharmacological strategies highlights the potential for more individualized cardiovascular care. Nevertheless, careful interpretation of existing evidence, rigorous validation, and alignment with guideline-directed practice remain essential before widespread clinical adoption.

Indexed as

acute coronary syndromeartificial intelligencebiomarkersfactor XI inhibitorsintracoronary imagingoptical coherence tomographyrisk stratificationthrombosis

Identifiers

PMID41590879
PMCPMC12841799

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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.