Evidence map›Paper›PMID 29802729›Full record

ArticleClinical cardiology2018

Electrocardiographic diagnosis of atrial infarction in patients with acute inferior ST-segment elevation myocardial infarction.

Suleyman Sezai Yıldız, Kudret Keskin, Murat Avsar, Gokhan Cetinkal, Serhat Sigirci, Gokhan Aksan, Sukru Cetin, Ertugrul Okuyan, Kadriye Orta Kilickesmez

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Clinical cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Article
  3. Diagnostic and prognostic role of electrocardiogram in acute myocarditis: A comprehensive review.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
    Review
  4. Article
  5. Article
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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

9 authors at 2 institutions in 2 countries.

Suleyman Sezai YıldızDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Kudret KeskinDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-9049-1530
Murat AvsarDepartment of Cardiology, Yedikule Chest Disease and Thoracic Surgery Training Hospital, University of Health Sciences, Istanbul, Turkey.
Gokhan CetinkalDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-5291-0645
Serhat SigirciDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Gokhan AksanDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Sukru CetinDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Ertugrul OkuyanDepartment of Cardiology, Bagcilar Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Kadriye Orta KilickesmezDepartment of Cardiology, Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Sağlık Bilimleri Üniversitesi · TRBağcılar Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with atrial myocardial infarction (ATMI) have frequent cardiac and noncardiac complications. However, ATMI is uncommonly diagnosed because of its nonspecific ECG changes. Our objective was to analyze the ECG characteristics of ATMI in patients with inferior STEMI. HYPOTHESIS: Electrocardiographic P wave parameters can help in diagnosis of ATMI.

methodsWe evaluated 932 patients who underwent coronary angiography and recruited 39 patients with ATMI and 33 patients without ATMI with inferior STEMI for a retrospective study. Twelve-lead ECGs were obtained to measure P-wave parameters in diagnosis of ATMI. P-wave parameters and PR-segment displacement were compared in patients with and without ATMI.

resultsIn inferior leads, PWD and PWDisp were significantly longer in the ATMI group than in the non-ATMI group (limb lead II, 109.79 ±15.51 ms and 86.65 ±5.02 ms, respectively; P < 0.001; limb lead III, 108.31 ±12.51 ms and 85.27 ±7.47 ms, P < 0.001; aVF, 106.49 ±13.68 ms and 83.01 ±7.89 ms, P < 0.001; PWDisp, 41.67 ±10.72 ms and 25.18 ±5.17 ms, P < 0.001). By contrast, PWA was significantly lower in the ATMI group than in the non-ATMI group (limb lead II, 0.96 ±0.18 mV and 1.39 ±0.22 mV, respectively; P < 0.001; limb lead III, 0.90 ±0.11 and 1.21 ±0.23, P < 0.001; aVF, 0.88 ±0.17 and 1.26 ±0.28, P < 0.001). PR-segment displacement was found in 8 (20.5%) patients with ATMI. A PWD ≥95.5 ms in lead DII diagnosed ATMI with a higher sensitivity and specificity (90%, 94%) than did PWA or PWDisp.

conclusionsThis study suggests P-wave parameters might be considered ECG findings in diagnosis of ATMI in patients with inferior STEMI.

Indexed as

ElectrocardiographyHeart AtriaCoronary AngiographyDiagnosis, DifferentialFemaleFollow-Up StudiesHumansInferior Wall Myocardial InfarctionMaleMiddle AgedRetrospective StudiesST Elevation Myocardial Infarction

Identifiers

PMID29802729
PMCPMC6489929
OpenAlexW2805002263

What OpenQuestion holds

Textmetadata
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.