Evidence map›Paper›PMID 34552948›Full record

ReviewFrontiers in medicine2021

Anti-Ro/SSA Antibodies and the Autoimmune Long-QT Syndrome.

Pietro Enea Lazzerini, Franco Laghi-Pasini, Mohamed Boutjdir, Pier Leopoldo Capecchi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Arrhythmias in Autoimmune Diseases: Immune-Mediated Mechanisms and Management.Journal of cardiovascular development and disease · 2026
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  8. Pathophysiology of CaFrontiers in physiology · 2023
    Review
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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

4 authors at 2 institutions in 2 countries.

Pietro Enea LazzeriniDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Franco Laghi-PasiniDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
Mohamed BoutjdirVeterans Affairs New York Harbor Healthcare System, State University of New York Downstate Medical Center, New York, NY, United States.
Pier Leopoldo CapecchiDepartment of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.
University of Siena · ITState University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmunity is increasingly recognized as a novel pathogenic mechanism for cardiac arrhythmias. Several arrhythmogenic autoantibodies have been identified, cross-reacting with different types of surface proteins critically involved in the cardiomyocyte electrophysiology, primarily ion channels (autoimmune cardiac channelopathies). Specifically, some of these autoantibodies can prolong the action potential duration leading to acquired long-QT syndrome (LQTS), a condition known to increase the risk of life-threatening ventricular arrhythmias, particularly Torsades de Pointes (TdP). The most investigated form of autoimmune LQTS is associated with the presence of circulating anti-Ro/SSA-antibodies, frequently found in patients with autoimmune diseases (AD), but also in a significant proportion of apparently healthy subjects of the general population. Accumulating evidence indicates that anti-Ro/SSA-antibodies can markedly delay the ventricular repolarization

Indexed as

anti-Ro/SSA antibodiesautoimmune cardiac channelopathieshERG potassium channellong QT syndromesudden cardiac deathTorsades de Pointes

Identifiers

PMID34552948
PMCPMC8450397
OpenAlexW3198069927

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.