Evidence map›Paper›PMID 25469309›Full record

ArticleOpen heart

Non-invasive assessment of functionally significant coronary stenoses through mathematical analysis of spectral ECG components.

Tetsuya Amano, Norihiro Shinoda, Ayako Kunimura, Ken Harada, Tadayuki Uetani, Hiroaki Takashima, Hirohiko Ando, Soichiro Kumagai, Masahiko Gosho, Toyoaki Murohara

Open access · goldAbstract read
In one paragraph

Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. It All Depends on Your References: Electrophysiology Compared to Angiography.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2015
    Article
  2. The Diagnostic Performance of Multifunction Cardiogram (MCG) in Functional Myocardial Ischemia.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2015
    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

10 authors at 3 institutions in 1 country.

Tetsuya AmanoDepartment of Cardiology , Aichi Medical University , Nagakute , Japan.
Norihiro ShinodaDepartment of Cardiology , Chubu Rosai Hospital , Nagoya , Japan.
Ayako KunimuraDepartment of Cardiology , Chubu Rosai Hospital , Nagoya , Japan.
Ken HaradaDepartment of Cardiology , Chubu Rosai Hospital , Nagoya , Japan.
Tadayuki UetaniDepartment of Cardiology , Chubu Rosai Hospital , Nagoya , Japan.
Hiroaki TakashimaDepartment of Cardiology , Aichi Medical University , Nagakute , Japan.
Hirohiko AndoDepartment of Cardiology , Aichi Medical University , Nagakute , Japan.
Soichiro KumagaiDepartment of Cardiology , Aichi Medical University , Nagakute , Japan.
Masahiko GoshoAdvanced Medical Research Center , Aichi Medical University , Nagakute , Japan.
Toyoaki MuroharaDepartment of Cardiology , Nagoya University Graduate School of Medicine , Nagoya , Japan.
Aichi Medical University · JPChubu Rosai Hospital · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to evaluate the accuracy of the Multifunction CardioGram (MCG) in detecting the presence of functionally significant coronary ischaemia. METHODS AND

resultsThis prospective study evaluated the accuracy of the MCG, a new ECG analysis device used to diagnose ischaemic coronary artery disease (CAD). A consecutive 112 participants suspected to have CAD who were scheduled for elective coronary angiography (CAG) from October 2012 to December 2013 were examined. Their predictive values of relevant ischaemia were measured by MCG, standard ECG and Framingham Risk Score (FRS) and compared. Five levels of ischaemia based on CAG findings adjusted by fractional flow reserve (FFR) values and three levels of MCG score of high, borderline or low were used. The MCG (OR=2.67 (1.60 to 4.44), p<0.001) was the only test significantly associated with ischaemia level. The FFR values for individual MCG scores with low, borderline and high were 0.77 (0.70 to 0.86), 0.78 (0.71 to 0.82) and 0.69 (0.65 to 0.77), respectively, p=0.042. A high MCG score had a specificity of 90.4% (87.0% to 93.9%) in model 1 adjusted by FFR≤0.8 threshold and of 87.0% (83.2% to 90.8%) in model 2 adjusted by FFR≤0.75 threshold, and a negative predictive value of 82.5% (78.3% to 86.7%) in model 1 and of 83.8% (79.6% to 87.9%) in model 2 for the prediction of severe ischaemia.

conclusionsThe MCG showed high specificity with a high negative predictive value, suggesting that the MCG could be used not only to identify functionally significant ischaemia but to reduce unnecessary CAGs. TRIAL REGISTRATION NUMBER: UMIN ID: 000009992.

Identifiers

PMID25469309
PMCPMC4248141
OpenAlexW2100421966

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.