Evidence map›Paper›PMID 31943100›Full record

ReviewRheumatology (Oxford, England)2020

Electrocardiographic markers for the prediction of ventricular arrhythmias in patients with systemic sclerosis.

Veronika Sebestyén, Gabriella Szűcs, Dénes Páll, Dóra Ujvárosy, Tamás Ötvös, Imre Csige, Tamás Pataki, István Lőrincz, Zoltán Szabó

Open access · bronzeAbstract readReview
In one paragraph

Review in Rheumatology (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sclerodermic Cardiomyopathy-A State-of-the-Art Review.Diagnostics (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

9 authors at 2 institutions in 1 country.

Veronika SebestyénDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
Gabriella SzűcsDepartment of Rheumatology, Faculty of Medicine, Hungary.
Dénes PállInstitute of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Dóra UjvárosyDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
Tamás ÖtvösDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
Imre CsigeDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
Tamás PatakiDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
István LőrinczDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
Zoltán SzabóDepartment of Emergency Medicine, Faculty of MedicineUniversity of Debrecen, Debrecen, Hungary.
University of Debrecen · HUUniversity of Veterinary Medicine · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SSc is an autoimmune disease characterized by microvascular damage, endothelial dysfunction and fibrosis of the skin and the internal organs. Cardiac manifestation in patients with SSc is one of the major organ involvements. Approximately 20% of SSc patients suffer from primary cardiovascular disease and another 20% may have secondary cardiac involvement. Although cardiac arrhythmias are mostly linked to myocardial fibrosis, atrioventricular conduction abnormalities are secondary to the fibrosis of the pulse conduction system. Despite the severe consequences of ventricular rhythm disturbances in patients with SSc, the exact role of electrocardiographic markers in the prediction of these arrhythmias has not yet been clearly elucidated. Therefore, the question is whether certain ECG parameters reflecting ventricular repolarization may help to recognize scleroderma patients with increased risk for ventricular arrhythmias and sudden cardiac death.

Indexed as

Arrhythmias, CardiacElectrocardiographyHumansScleroderma, Systemicarrhythmiassudden cardiac deathsystemic sclerosis

Identifiers

PMID31943100
PMCPMC7032033
OpenAlexW2999287840

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.