Evidence map›Paper›PMID 34276976›Full record

ArticleClinical kidney journal2021

Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease.

Janna Terhuerne, Merel van Diepen, Rafael Kramann, Johanna Erpenbeck, Friedo Dekker, Nikolaus Marx, Jürgen Floege, Michael Becker, Georg Schlieper

Abstract read
In one paragraph

Article in Clinical kidney journal, 2021. 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
–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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Echocardiogram screening in pediatric dialysis and transplantation.Pediatric nephrology (Berlin, Germany) · 2023
    Review
  5. Article
  6. Can myocardial work help in the therapy of resistant hypertension?Journal of clinical hypertension (Greenwich, Conn.) · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Janna TerhuerneDivision of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany.
Merel van DiepenDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Rafael KramannDivision of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany.
Johanna ErpenbeckDivision of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany.
Friedo DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Nikolaus MarxDepartment of Cardiology, Medical Faculty RWTH Aachen University, Aachen, Germany.
Jürgen FloegeDivision of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany.
Michael BeckerDepartment of Cardiology, Medical Faculty RWTH Aachen University, Aachen, Germany.
Georg SchlieperDivision of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0001-6050-5842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease is the major cause of death in end-stage renal disease (ESRD). To develop better means to assess cardiovascular risk in these patients, we compared conventional echocardiography-derived left ventricular ejection fraction (EF) with the novel method of 2D speckle-tracking echocardiography to determine cardiac strain.

methodsPredictive performances of conventional EF and speckle-tracking echocardiography-derived global longitudinal strain (GLS) were compared using receiver-operator curve (ROC) analyses and calibration by calibration plots. We also took into account other known cardiovascular risk factors through multivariable logistic regression analysis.

resultsThe study comprised 171 ESRD patients (mean age 64 years, 64% male) on maintenance dialysis therapy (93% haemodialysis, 7% peritoneal dialysis) for an average period of 39 months. During 2.1 years of follow-up, 42 patients (25%) died from cardiovascular disease. ROC analysis of GLS resulted in an area under the curve of 0.700 [95% confidence interval (CI) 0.603-0.797] compared with an area under the curve of EF of 0.615 (95% CI 0.514-0.716) (P = 0.059 for difference). The total absolute deviation between predicted and observed outcome frequencies obtained by calibration plots were 13.8% for EF compared with only 6.4% for GLS. Best results of ROC analysis (area under the curve = 0.759; P = 0.06), calibration and goodness-of-fit (χ

conclusionsIn summary, in chronic dialysis patients, GLS is a more precise predictor of cardiovascular mortality than conventional echocardiography-derived EF.

Indexed as

cardiovasculardialysisechocardiographyESRDprognosis

Identifiers

PMID34276976
PMCPMC8280917

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.