Evidence map›Paper›PMID 30740823›Full record

ArticleJournal of cardiovascular electrophysiology2019

Low lead one ratio predicts clinical outcomes in left bundle branch block.

Zak Loring, Brett D Atwater, Xiaojuan Xia, Jimmy Axelsson, Igor Klem, Robin Nijveldt, Erik B Schelbert, Jean-Philippe Couderc, David G Strauss, Martin Ugander and 1 more

Open access · greenAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

11 authors at 3 institutions in 3 countries.

Zak LoringDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-4613-582X
Brett D AtwaterDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-0468-3668
Xiaojuan XiaDepartment of Health Services, University of Washington, Seattle, Washington.
Jimmy AxelssonDepartment of Health Services, University of Washington, Seattle, Washington.
Igor KlemDepartment of Health Services, University of Washington, Seattle, Washington.
Robin NijveldtDepartment of Health Services, University of Washington, Seattle, Washington.
Erik B SchelbertDepartment of Health Services, University of Washington, Seattle, Washington.
Jean-Philippe CoudercDepartment of Health Services, University of Washington, Seattle, Washington.
David G StraussDepartment of Health Services, University of Washington, Seattle, Washington.
Martin UganderDepartment of Health Services, University of Washington, Seattle, Washington.
Björn WieslanderDepartment of Health Services, University of Washington, Seattle, Washington.
University of Washington · USKarolinska University Hospital · SEUnited States Food and Drug Administration · US

Funding

Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
Hjärt-LungfondenNHLBI NIH HHS T32 HL069749Vetenskapsrådet
6 · The paper itself

Abstract

introductionWe evaluated the association between a novel electrocardiographic (ECG) marker of late, rightward electrocardiographic forces (termed the lead one ratio [LOR]), and left ventricular ejection fraction (LVEF), myocardial scar, and clinical outcomes in patients with left bundle branch block (LBBB). METHODS AND

resultsLOR was calculated in patients with LBBB from a derivation cohort (n = 240) and receiver operator characteristic curves identified optimal threshold values for predicting myocardial scar and LVEF less than 35%. An independent validation cohort of patients with LBBB (n = 196) was used to test the association of LOR with the myocardial scar, LVEF, and the likelihood of death, heart transplant or left ventricular assist device (LVAD) implantation. The optimal thresholds in the derivation cohort were LOR less than 13.7 for identification of scar (sensitivity 55%, specificity 80%), and LOR less than 12.1 for LVEF less than 35% (sensitivity 49%, specificity 80%). In the validation cohort, LOR less than 13.7 was not associated with scar size or presence (P > 0.05 for both). LOR less than 12.1 was associated with lower LVEF (30 [20-40] versus 40 [25-55]%; P = 0.002) and predicted LVEF less than 35% in univariable (odds ratio [OR], 2.2 [1.2-4.1]; P = 0.01) and multivariable analysis (OR, 2.2 [1.2-4.3]; P = 0.02). LOR less than 12.1 was associated with scar presence when patients with nonischemic cardiomyopathy were excluded (OR = 7.2 [1.5-33.2]; P = 0.002). LOR less than 12.1 had an adjusted hazard ratio of 1.53 ([1.05-2.21]; P = 0.03) for death, transplant or LVAD implantation.

conclusionsIn conclusion, ECG LOR less than 12.1 predicts reduced-LV systolic function and poorer prognosis in patients with LBBB.

Indexed as

Action PotentialsElectrocardiographyHeart RateMagnetic Resonance Imaging, CineAgedAged, 80 and overBundle-Branch BlockCardiomyopathiesDatabases, FactualDisease ProgressionFemaleHeart-Assist DevicesHeart FailureHeart TransplantationHumansMaleclinical outcomeselectrocardiographyleft bundle branch blockmagnetic resonance imagingmyocardial scar

Identifiers

PMID30740823
PMCPMC7360383
OpenAlexW2913982690

What OpenQuestion holds

Textmetadata
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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.