Evidence map›Paper›PMID 33124739›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2021

Validation of electrocardiographic criteria for identifying left ventricular dysfunction in patients with previous myocardial infarction.

Gopi Krishna Panicker, Dhiraj D Narula, Christine M Albert, Daniel C Lee, Snehal Kothari, Jeffrey J Goldberger, Nancy Cook, Andi Schaechter, Eunjung Kim, M Vinayaga Moorthy and 4 more

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01114269 (PRE-DETERMINE), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT01114269 active not recruitingnot on this map

PRE-DETERMINE: Biologic Markers and MRI SCD Cohort Study

TypeobservationalSponsorBrigham and Women's HospitalRan2007 to 2026Enrolled5,764ConditionsCoronary Artery Disease, Left Ventricular Dysfunction, Sudden Cardiac Death
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Validation of electrocardiographic criteria for identifying left ventricular dysfunction in patients with previous myocardial infarction.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    Article
  4. Article
  5. 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

14 authors.

Gopi Krishna PanickerCardiac Safety Services, IQVIA, Mumbai, India.
Dhiraj D NarulaMountainview Hospital, Las Vegas, NV, USA.
Christine M AlbertBrigham and Women's Hospital, Boston, MA, USA.
Daniel C LeeNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Snehal KothariLilavati Hospital and Research Centre, Mumbai, India.
Jeffrey J GoldbergerUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Nancy CookBrigham and Women's Hospital, Boston, MA, USA.
Andi SchaechterNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Eunjung KimBrigham and Women's Hospital, Boston, MA, USA.
M Vinayaga MoorthyBrigham and Women's Hospital, Boston, MA, USA.
Julie PesterBrigham and Women's Hospital, Boston, MA, USA.
Neal A ChatterjeeUniversity of Washington Medical Center, Seattle, WA, USA.
Alan H KadishTouro College and University System, New York, NY, USA.
Dilip R KarnadCardiac Safety Services, IQVIA, Mumbai, India.ORCID 0000-0001-9935-5028

Funding

PRE-DETERMINE: Biologic Markers and MRI SCD Cohort StudyR01HL091069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALBERT, CHRISTINE M · 2008 to 2020
$12.9M
NHLBI NIH HHS R01 HL091069
6 · The paper itself

Abstract

backgroundEleven criteria correlating electrocardiogram (ECG) findings with reduced left ventricular ejection fraction (LVEF) have been previously published. These have not been compared head-to-head in a single study. We studied their value as a screening test to identify patients with reduced LVEF estimated by cardiac magnetic resonance (CMR) imaging.

methodsECGs and CMR from 548 patients (age 61 + 11 years, 79% male) with previous myocardial infarction (MI), from the DETERMINE and PRE-DETERMINE studies, were analyzed. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each criterion for identifying patients with LVEF ≤ 30% and ≤ 40% were studied. A useful screening test should have high sensitivity and NPV.

resultsMean LVEF was 40% (SD = 11%); 264 patients (48.2%) had LVEF ≤ 40%, and 96 patients (17.5%) had LVEF ≤ 30%. Six of 11 criteria were associated with a significant lower LVEF, but had poor sensitivity to identify LVEF ≤ 30% (range 2.1%-55.2%) or LVEF ≤ 40% (1.1%-51.1%); NPVs were good for LVEF ≤ 30% (range 82.8%-85.9%) but not for LVEF ≤ 40% (range 52.1%-60.6%). Goldberger's third criterion (RV4/SV4 < 1) and combinations of maximal QRS duration > 124 ms + either Goldberger's third criterion or Goldberger's first criterion (SV1 or SV2 + RV5 or RV6 ≥ 3.5 mV) had high specificity (95.4%-100%) for LVEF ≤ 40%, although seen in only 48 (8.8%) patients; predictive values were similar on subgroup analysis.

conclusionsNone of the ECG criteria qualified as a good screening test. Three criteria had high specificity for LVEF ≤ 40%, although seen in < 9% of patients. Whether other ECG criteria can better identify LV dysfunction remains to be determined.

Indexed as

ElectrocardiographyFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleMiddle AgedMyocardial InfarctionReproducibility of ResultsSensitivity and SpecificityVentricular Dysfunction, Leftcardiac magnetic resonance imagingcoronary artery diseaseelectrocardiologyleft ventricular ejection fractionmyocardial infarction

Identifiers

PMID33124739
PMCPMC7935098

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Registered trials

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.