Evidence map›Paper›PMID 42819048›Full record

ReviewResearch in heart yield and translational medicine2025

Coronary Slow-Flow Syndrome: A Review on Natural History of Disease and Best Practices.

Muhammad Iqhrammullah, Derren Rampengan

Abstract readReview
In one paragraph

Review in Research in heart yield and translational medicine, 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

2 authors.

Muhammad IqhrammullahPostgraduate Program of Public Health, Universitas Muhammadiyah Aceh, Banda Aceh, Indonesia.ORCID https://orcid.org/0000-0001-8060-7088
Derren RampenganFaculty of Medicine, Universitas Sam Ratulangi, Manado, Indonesia.ORCID https://orcid.org/0009-0002-5482-0613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: Prevalence and Diagnosis: Coronary Slow Flow (CSF) occurs in 1-7% of patients undergoing angiography, diagnosed via corrected TIMI frame count (cTFC) exceeding 21 ± 3 frames, alongside scintigraphy and ECG analysis.Key Risk Factors: CSF is linked to cardiovascular risks like hypertension, diabetes, and inflammation, with genetic and psychological factors also playing a role in its development.Clinical Management: Treatment focuses on symptom relief using nitrates calcium channel blockers, statins, and anti-inflammatory agents, alongside lifestyle modifications and stress management.Long-Term Outcomes: CSF can lead to complications like myocardial infarction and left ventricular dysfunction, with a 10-year mortality rate of 15.3%, emphasizing the need for early detection and tailored care. Coronary slow flow (CSF) poses significant clinical challenges, marked by delayed coronary blood flow despite angiographically normal epicardial arteries. With a prevalence of 1% to 7%, the underlying pathogenesis and clinical manifestations of this condition remain incompletely understood. This review examines the natural history of CSF, including its pathophysiological mechanisms, ranging from inflammatory cascades to microvascular dysfunction. Diagnostic approaches, such as corrected TIMI frame count, scintigraphy, and ECG analysis, provide valuable insights into its complex presentation. Further, the review outlines management strategies, focusing on pharmacological interventions like calcium channel blockers and anti-inflammatory agents. Understanding CSF's natural history is crucial for implementing effective preventive measures, spanning primary to tertiary prevention. Still, further research is essential to fully elucidate its pathophysiology and optimize therapeutic strategies for improving patient outcomes in this complex disorder.

Indexed as

AngiographyCoronary Arterial DiseasesCoronary Slow FlowNatural History of DiseaseTIMI Frame Count

Identifiers

PMID42819048
PMCPMC13624712

What OpenQuestion holds

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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.