Evidence map›Paper›PMID 34014512›Full record

ArticleJournal of nephrology2022

Electrocardiographic parameters of left ventricular hypertrophy and prediction of mortality in hemodialysis patients.

Matthias C Braunisch, Peter Gundel, Stanislas Werfel, Christopher C Mayer, Axel Bauer, Bernhard Haller, Roman Günthner, Georg Lorenz, Susanne Angermann, Julia Matschkal and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  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

21 authors at 6 institutions in 4 countries.

Matthias C BraunischDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany. Matthias.Braunisch@mri.tum.de.ORCID http://orcid.org/0000-0001-8527-0699
Peter GundelDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Stanislas WerfelDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Christopher C MayerCenter for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
Axel BauerUniversity Hospital for Internal Medicine III, Medical University Innsbruck, Innsbruck, Austria.
Bernhard HallerInstitute of Medical Informatics, Statistics and Epidemiology (IMedIS), School of Medicine, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany.
Roman GünthnerDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Georg LorenzDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Susanne AngermannDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Julia MatschkalDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Carolin SchallerDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Christopher Holzmann-LittigDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Stephan KemmnerDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Johannes MannDepartment of Nephrology, University of Erlangen-Nürnberg, Erlangen, Germany.
Axel KrieterNephrocare München-Ost, Rosenkavalierplatz 5, Munich, Germany.
Lutz RendersDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Siegfried WassertheurerCenter for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
Georg SchmidtSchool of Medicine, Klinik für Innere Medizin I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Uwe HeemannDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Marek MalikNational Heart and Lung Institute, Imperial College London, London, UK.
Christoph SchmadererDepartment of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany. Christoph.Schmaderer@mri.tum.de.
TUM Klinikum · DEAustrian Institute of Technology · ATFriedrich-Alexander-Universität Erlangen-Nürnberg · DEGerman Centre for Cardiovascular Research · DEMasaryk University · CZTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn hemodialysis patients, left ventricular hypertrophy (LVH) contributes to high cardiovascular mortality. We examined cardiovascular mortality prediction by the recently proposed Peguero-Lo Presti voltage since it identifies more patients with electrocardiographic (ECG) LVH than Cornell or Sokolow-Lyon voltages.

methodsA total of 308 patients on hemodialysis underwent 24 h ECG recordings. LVH parameters were measured before and after dialysis. The primary endpoint of cardiovascular mortality was recorded during a median 3-year follow up. Risk prediction was assessed by Cox regression, both unadjusted and adjusted for the Charlson Comorbidity Index and the Cardiovascular Mortality Risk Score.

resultsThe Peguero-Lo Presti voltage identified with 21% the most patients with positive LVH criteria. All voltages significantly increased during dialysis. Factors such as ultrafiltration rate, Kt/V, body mass index, sex, and phosphate were the most relevant for these changes. During follow-up, 26 cardiovascular deaths occurred. Post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages were independently associated with cardiovascular mortality in unadjusted and adjusted analysis. The Sokolow-Lyon voltage was not significantly associated with mortality. An optimal cut-off for the prediction of cardiovascular mortality was estimated at 1.38 mV for the Peguero-Lo Presti.

conclusionsThe post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages allowed independent risk prediction of cardiovascular mortality in hemodialysis patients. Measuring the ECG LVH parameters after dialysis might allow a standardized interpretation as dialysis-specific factors influence the voltages.

Indexed as

HypertensionHypertrophy, Left VentricularBody Mass IndexElectrocardiographyHumansRenal DialysisCardiovascular mortalityHemodialysisLeft ventricular hypertrophyPeguero-Lo presti

Identifiers

PMID34014512
PMCPMC8803820
OpenAlexW3162305678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.