Effectiveness of cardiogoniometry compared with exercise-ECG test in diagnosing stable coronary artery disease in women

Zeljković, Ivan; Pintarić, Hrvoje; Vrsalović, Mislav; Kruljac, Ivan

doi:10.1093/qjmed/hcw162

Cited by 4 publications

(8 citation statements)

References 18 publications

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“…The positive predictive value (29% to 88%) and negative predictive value (58% to 89%) were reported in only 5 articles. 14,16,17,19,20) CGM accuracy was also reported in 5 papers 13,15,[17][18][19] with the highest value of 86% 15) and the lowest value of 64%. 13) (Table I) Quality assessment: The studies in the current metaanalysis were not of the same quality.…”

Section: Study Selectionmentioning

confidence: 70%

“…The first article was published in 1983, 12) and the latest published articles were published in 2017. 19,20) (Table I) Moreover, the methods of CAD diagnosis based on CGM were also different among the studies and included automated interpretation, [17][18][19][20] diagnostic score, 14) deviation from mean normal values, 12,13) and other specified methods. 15,16) Results of individual studies: The sensitivity and specificity were reported in all studies.…”

Section: Study Selectionmentioning

confidence: 99%

“…However, there were some differences in the inclusion criteria of 3 studies. 12,13,19) Although most of the studies had consecutive recruitment, one study had a random sampling method, 18) and in one study it was not reported apparently. 15) A casecontrol approach was not used in any of the studies.…”

Section: Study Selectionmentioning

confidence: 99%

“…15) The diagnostic criteria based on the reference standard were somehow different in 3 studies, using 70-75% of stenosis instead of 50% as the definition of CAD. 12,19,20) Risk of Bias was acceptable among our included studies, where only two articles were considered high risk in the domains of "patient selection" 13) and "follow and timing". 20) However, 3 different studies 12,19,20) in the domain of "reference standard", as well as two different studies in the domains of "patient selection" 15) and "index test" 13) were assessed to have a high risk of applicability concerns.…”

Section: Study Selectionmentioning

confidence: 99%

“…12) Following this study, more than 10 other studies have examined the value of CGM in CAD diagnosis in patients with stable angina and candidates for elective angiography, with their findings showing sensitivity of between 39% to 84% and specificity between 60% and 90%. [14][15][16][17][18][19][20] Due to the diversity of studies conducted in this area and the lack of a relevant review article, there is still not a good overview of the position of CGM in diagnosing CAD in patients with SIHD manifestations. Therefore, this meta-analysis aimed to investigate the value of CGM in diagnosing CAD patients with suspected SIHD based on angiography findings.…”

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confidence: 99%

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Value of Cardiogoniometry in Diagnosis of Coronary Artery Disease in Patients with Suspected Stable Ischemic Heart Disease

et al. 2019

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Cardiogoniometry (CGM) has been proposed as a new diagnostic tool for coronary artery disease (CAD) in recent years. Although different studies have evaluated the diagnostic value of CGM in CAD diagnosis, no pooled analysis of its diagnostic accuracy has been performed so far. This study aimed to assess the value of CGM in diagnosing CAD in patients with suspected stable ischemic heart disease (SIHD). This was a systematic review and meta-analysis conducted on available literature until May 2018. Studies considered coronary angiography as the reference standard for CAD diagnosis and reported CGM diagnostic value parameters were included. No language and time restrictions for enrolling the studies were considered. Statistical analysis was performed using Meta-DiSc software. The findings of the 10 studies published in 9 articles were enrolled in the meta-analysis. Overall pooled sensitivity was 71.7% (69.1 to 74.1; Cochrane Q = 39.5; P < 0.00001; I 2 = 77.3%), and pooled specificity was 78.8% (76.3 to 81.1; Cochrane Q = 37.39; P < 0.00001; I 2 = 75.9%). Regarding Egger's regression test (P = 0.32), there was no published bias in the studies. It seems that CGM, as an easy-to-use and non-invasive modality, should be considered as a part of risk stratifying strategies for CAD in patients with SIHD, mainly in patients with contraindications for stress tests. However, further studies with a high quality of methodology are still needed to assess the diagnostic value of CGM for CAD in patients with suspected SIHD.

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Section: Study Selectionmentioning

confidence: 70%

Section: Study Selectionmentioning

confidence: 99%

Section: Study Selectionmentioning

confidence: 99%

Section: Study Selectionmentioning

confidence: 99%

mentioning

confidence: 99%

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Value of Cardiogoniometry in Diagnosis of Coronary Artery Disease in Patients with Suspected Stable Ischemic Heart Disease

et al. 2019

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Voting Ensemble Learning Technique with Improved Accuracy for the CAD Diagnosis

Miriyala

Sinha

2023

Lecture Notes in Electrical Engineering

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Cardiogoniometry Compared to Fractional Flow Reserve at Identifying Physiologically Significant Coronary Stenosis: The CARDIOFLOW Study

Brown

Clark

Chelliah

et al. 2018

Cardiovasc Eng Tech

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Cardiogoniometry (CGM) is method of 3-dimensional electrocardiographic assessment which has been shown to identify patients with angiographically defined, stable coronary artery disease (CAD). However, angiographic evidence of CAD, does not always correlate to physiologically significant disease. The aim of our study was to assess the ability of CGM to detect physiologically significant coronary stenosis defined by fractional flow reserve (FFR). In a tertiary cardiology centre, elective patients with single vessel CAD were enrolled into a prospective double blinded observational study. A baseline CGM recording was performed at rest. A second CGM recording was performed during the FFR procedure, at the time of adenosine induced maximal hyperaemia. A significant CGM result was defined as an automatically calculated ischaemia score < 0 and a significant FFR ratio was defined as < 0.80. Measures of diagnostic performance (including sensitivity and specificity) were calculated for CGM at rest and during maximal hyperaemia. Forty-five patients were included (aged 61.1 ± 11.0; 60.0% male), of which eighteen (40%) were found to have significant CAD when assessed by FFR. At rest, CGM yielded a sensitivity of 33.3% and specificity of 63.0%. At maximal hyperaemia the sensitivity and specificity of CGM was 71.4 and 50.0% respectively. The diagnostic performance of CGM to detect physiologically significant stable CAD is poor at rest. Although, the diagnostic performance of CGM improves substantially during maximal hyperaemia, it does not reach sufficient levels of accuracy to be used routinely in clinical practice.

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Effectiveness of cardiogoniometry compared with exercise-ECG test in diagnosing stable coronary artery disease in women

Cited by 4 publications

References 18 publications

Value of Cardiogoniometry in Diagnosis of Coronary Artery Disease in Patients with Suspected Stable Ischemic Heart Disease

Value of Cardiogoniometry in Diagnosis of Coronary Artery Disease in Patients with Suspected Stable Ischemic Heart Disease

Voting Ensemble Learning Technique with Improved Accuracy for the CAD Diagnosis

Cardiogoniometry Compared to Fractional Flow Reserve at Identifying Physiologically Significant Coronary Stenosis: The CARDIOFLOW Study

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