Evidence map›Paper›PMID 37377449›Full record

ReviewEuropean cardiology2023

Coronary Microvascular Spasm: Clinical Presentation and Diagnosis.

Shigeo Godo, Jun Takahashi, Takashi Shiroto, Satoshi Yasuda, Hiroaki Shimokawa

Open access · goldAbstract readReview
In one paragraph

Review in European cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
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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 at 1 institution in 1 country.

Shigeo GodoDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine Sendai, Japan.
Jun TakahashiDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine Sendai, Japan.
Takashi ShirotoDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine Sendai, Japan.
Satoshi YasudaDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine Sendai, Japan.
Hiroaki ShimokawaDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine Sendai, Japan.
Tohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Professor Maseri pioneered the research and treatment of coronary vasomotion abnormalities represented by coronary vasospasm and coronary microvascular dysfunction (CMD). These mechanisms can cause myocardial ischaemia even in the absence of obstructive coronary artery disease, and have been appreciated as an important aetiology and therapeutic target with major clinical implications in patients with ischaemia with non-obstructive coronary artery disease (INOCA). Coronary microvascular spasm is one of the key mechanisms responsible for myocardial ischaemia in patients with INOCA. Comprehensive assessment of coronary vasomotor reactivity by invasive functional coronary angiography or interventional diagnostic procedure is recommended to identify the underlying mechanisms of myocardial ischaemia and to tailor the best treatment and management based on the endotype of INOCA. This review highlights the pioneering works of Professor Maseri and contemporary research on coronary vasospasm and CMD with reference to endothelial dysfunction, Rho-kinase activation and inflammation.

Indexed as

Coronary microvascular dysfunctioncoronary microvascular spasmcoronary vasospasmendothelial functionendothelium-dependent hyperpolarizationinflammationnitric oxide

Identifiers

PMID37377449
PMCPMC10291603
OpenAlexW4368376094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.