Evidence map›Paper›PMID 31578616›Full record

ArticleHerz2021

Relationship between P wave peak time and coronary artery disease severity in non-ST elevation acute coronary syndrome.

Emrah Bayam, Ersin Yıldırım, Macit Kalçık, Ahmet Karaduman, Semih Kalkan, Ahmet Güner, Ayhan Küp, Muzaffer Kahyaoğlu, Yusuf Yılmaz, Murat Selcuk and 1 more

Abstract read
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In one paragraph

Article in Herz, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Electrocardiographic R Wave Peak Time: Correlation With the Severity of Coronary Artery Disease and Prognosis in Patients With Acute Coronary Syndrome.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
    Article
  2. Article
  3. Usefulness of P-wave peak time as an electrocardiographic parameter in predicting left ventricular diastolic dysfunction in patients with mitral regurgitation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022
    Article
  4. 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

11 authors.

Emrah BayamDepertament of Cardiology, Umraniye Training and Research Hospital, University of Medical Sciences, Umraniye, Turkey.
Ersin YıldırımDepertament of Cardiology, Umraniye Training and Research Hospital, University of Medical Sciences, Umraniye, Turkey.
Macit KalçıkDepertament of Cardiology, Faculty of Medicine, Hitit University, Buharaevler Mah. Buhara 25. Sok. No. 1 /A Daire: 22, Çorum, Turkey. macitkalcik@yahoo.com.ORCID http://orcid.org/0000-0002-8791-4475
Ahmet KaradumanDepertament of Cardiology, Kartal Kosuyolu High Specialty Training and Research Hospital, University of Medical Sciences, Kartal, Turkey.
Semih KalkanDepertament of Cardiology, Kartal Kosuyolu High Specialty Training and Research Hospital, University of Medical Sciences, Kartal, Turkey.
Ahmet GünerDepertament of Cardiology, Kartal Kosuyolu High Specialty Training and Research Hospital, University of Medical Sciences, Kartal, Turkey.
Ayhan KüpDepertament of Cardiology, Kartal Kosuyolu High Specialty Training and Research Hospital, University of Medical Sciences, Kartal, Turkey.
Muzaffer KahyaoğluDepertament of Cardiology, Umraniye Training and Research Hospital, University of Medical Sciences, Umraniye, Turkey.
Yusuf YılmazDepertament of Cardiology, Umraniye Training and Research Hospital, University of Medical Sciences, Umraniye, Turkey.
Murat SelcukDepertament of Cardiology, Umraniye Training and Research Hospital, University of Medical Sciences, Umraniye, Turkey.
Cihangir UyanDepertament of Cardiology, Umraniye Training and Research Hospital, University of Medical Sciences, Umraniye, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis of non-ST elevation acute coronary syndrome (NSTE-ACS) and prediction of the severity of current coronary artery disease (CAD) play a major role in patient prognosis. Electrocardiography has a unique value in the diagnosis and provides prognostic information on patients with NSTE-ACS. In the present study, we aimed to examine the relationship between P wave peak time (PWPT) and the severity of CAD in patients with NSTE-ACS.

methodsA total of 132 consecutive patients (female: 35.6%; mean age: 60.1 ± 11.6 years) who were diagnosed with NSTE-ACS were evaluated retrospectively. Gensini scores (GSs) were used to define the angiographic characteristics of the coronary atherosclerotic lesions. The patients were divided into two groups according to the GS. The PWPT was defined as the duration between the beginning and the peak of the P wave, and R wave peak time (RWPT) was defined as the duration between the beginning of the QRS complex and the peak of the R wave.

resultsThere were 59 (44.6%) patients in the high-GS group (GS ≥25 ) and 73 (55.3%) patients in the low-GS group (GS <25 ). Presence of diabetes mellitus, low left ventricular ejection fraction, and high RWPT and PWPT were identified as predictors of a high GS in the study population. There was no significant difference between the area under the curves of PWPT and RWPT for predicting the severity of CAD (0.663 vs. 0.623, respectively; p = 0.573).

conclusionThe present study found that both PWPT and RWPT on admission electrocardiography were associated with the severity and complexity of CAD in patients with NSTE-ACS.

Indexed as

Acute Coronary SyndromeCoronary Artery DiseaseAgedCoronary AngiographyElectrocardiographyFemaleHumansMiddle AgedRetrospective StudiesStroke VolumeVentricular Function, LeftConduction disturbancesEarly diagnosisElectrocardiographyHeart disease, ischemicPrognosis

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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.