Evidence map›Paper›PMID 29267340›Full record

ArticlePloS one2017

Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy.

Konstantinos Karatolios, Volker Holzendorf, George Hatzis, Dimitrios Tousoulis, Anette Richter, Bernhard Schieffer, Sabine Pankuweit

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Konstantinos KaratoliosDepartment of Cardiology, Angiology and Intensive Care, Philipps University Marburg, Marburg, Germany.ORCID 0000-0001-7996-7019
Volker HolzendorfClinical Trial Center Leipzig, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
George HatzisDepartment of Cardiology, Angiology and Intensive Care, Philipps University Marburg, Marburg, Germany.
Dimitrios TousoulisDepartment of Cardiology, Hippokration General Hospital, Athens University Medical School, Athens, Greece.
Anette RichterDepartment of Cardiology, Angiology and Intensive Care, Philipps University Marburg, Marburg, Germany.
Bernhard SchiefferDepartment of Cardiology, Angiology and Intensive Care, Philipps University Marburg, Marburg, Germany.
Sabine PankuweitDepartment of Cardiology, Angiology and Intensive Care, Philipps University Marburg, Marburg, Germany.
Philipps University of Marburg · DEHippocration General Hospital · GRLeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi).

methodsFrom 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.

resultsFor the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044), a glomerular filtration rate (GFR) <60ml/min/1.73m2 (HR 3.19; 95% CI 1.35-7.51; p = 0.008) and worsening of NYHA classification during follow-up (HR 2.48; 95% CI 1.01-6.10; p = 0.048) were univariate predictors, whereas left ventricular ejection fraction at baseline, NYHA class at entry, atrial fibrillation, treatment with digitalis or viral genome detection were not significantly related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 (HR 3.04; 95% CI 1.21-7.66; p = 0.018) remained a predictor of adverse outcome.

conclusionsIn patients with DCMi, a prolonged QTc interval >440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.

Indexed as

Outcome Assessment, Health CareAdultCardiomyopathy, DilatedElectrocardiographyFemaleGlomerular Filtration RateHeart TransplantationHospitalizationHumansInflammationMaleMiddle Aged

Identifiers

PMID29267340
PMCPMC5739391
OpenAlexW2775973654

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.