ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2017
Electrocardiographic appearance of aortic stenosis before and after aortic valve replacement.
Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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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.
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Who cites it
3 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.Journal of the American Heart Association · 2020Article
- Electrocardiographic appearance of aortic stenosis before and after aortic valve replacement.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2017Article
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Authors and funding
1 author.
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Abstract
backgroundSo far, the specific appearance of QRS complex, ST-segment, and T wave was observed in aortic stenosis (AS). S-wave dynamic change in leads V
methodsIn a single-center, prospective study, we included a total number of 1.175 patients who underwent surgical aortic valve replacement (AVR). We conducted 3-year gathering of patients with symptomatic and asymptomatic severe AS, and separated them by hemodynamic stability into groups A and B, through EFLV (of more or less than 50%), AVA (of more or less than 0.9 cm
resultsAnalysis of echocardiographic parameters, measured in patients before surgery, did not show statistical significance between asymptomatic and symptomatic group. The statistical significance was observed in the change in S-wave magnitude in the right precordial leads in both subsets of patients before AVR. We found statistically significant predictive value of S-wave magnitude in leads V
conclusionsS-wave changes in right precordial leads can predict increase in PG and critical narrowing of AVA, suggestive of timely referral for AVR.
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