Evidence map›Paper›PMID 33391734›Full record

ArticleClinical kidney journal2020

Fabry disease and COVID-19: international expert recommendations for management based on real-world experience.

Dawn A Laney, Dominique P Germain, João Paulo Oliveira, Alessandro P Burlina, Gustavo Horacio Cabrera, Geu-Ru Hong, Robert J Hopkin, Dau-Ming Niu, Mark Thomas, Hernán Trimarchi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Differential COVID-19 Outcomes Across Lysosomal Disorders.medRxiv : the preprint server for health sciences · 2026
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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

13 authors at 10 institutions in 9 countries.

Dawn A LaneyDivision of Medical Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Dominique P GermainDivision of Medical Genetics, University of Versailles, AP-HP Paris Saclay University, Paris, France.
João Paulo OliveiraCentro Hospitalar Universitário de São João & Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
Alessandro P BurlinaNeurology Unit, St Bassiano Hospital, Bassano del Grappa, Italy.
Gustavo Horacio CabreraSanta Maria de la Salud, San Isidro, Provincia de Buenos Aires, Argentina.
Geu-Ru HongDepartment of Cardiology, Yonsei University Severance Hospital, Seoul, Korea.ORCID 0000-0003-4981-3304
Robert J HopkinDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Dau-Ming NiuDepartment of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan.
Mark ThomasDepartment of Nephrology, Royal Perth Hospital, Perth, Australia.
Hernán TrimarchiNephrology service, British Hospital, Buenos Aires, Argentina.ORCID 0000-0002-6921-4811
William R WilcoxDivision of Medical Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Juan Manuel PoliteiDepartment of Neurology, Fundacion Para el Estudio de Enfermedades Neurometabolicas (FESEN), Buenos Aires, Argentina.
Alberto OrtizUnidad de Dialisis, IIS-Fundacion Jimenez Diaz, School of Medicine, UAM, IRSIN and REDINREN, Madrid, Spain.
Emory University · USCincinnati Children's Hospital Medical Center · USHospital Británico de Buenos Aires · ARHospital Universitario Fundación Jiménez Díaz · ESOspedale San Bassiano · ITRoyal Perth Hospital · AUTaipei Veterans General Hospital · TWUniversidade do Porto · PTUniversité Paris-Saclay · FRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid spread of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 has raised questions about Fabry disease (FD) as an independent risk factor for severe COVID-19 symptoms. Available real-world data on 22 patients from an international group of healthcare providers reveals that most patients with FD experience mild-to-moderate COVID-19 symptoms with an additional complication of Fabry pain crises and transient worsening of kidney function in some cases; however, two patients over the age of 55 years with renal or cardiac disease experienced critical COVID-19 complications. These outcomes support the theory that pre-existent tissue injury and inflammation may predispose patients with more advanced FD to a more severe course of COVID-19, while less advanced FD patients do not appear to be more susceptible than the general population. Given these observed risk factors, it is best to reinforce all recommended safety precautions for individuals with advanced FD. Diagnosis of FD should not preclude providing full therapeutic and organ support as needed for patients with FD and severe or critical COVID-19, although a FD-specific safety profile review should always be conducted prior to initiating COVID-19-specific therapies. Continued specific FD therapy with enzyme replacement therapy, chaperone therapy, dialysis, renin-angiotensin blockers or participation to clinical trials during the pandemic is recommended as FD progression will only increase susceptibility to infection. In order to compile outcome data and inform best practices, an international registry for patients affected by Fabry and infected by COVID-19 should be established.

Indexed as

chloroquineCOVID-19enzyme replacement therapyFabry diseaselysosomepathogenesispreventionSARS-CoV-2

Identifiers

PMID33391734
PMCPMC7769541
OpenAlexW3116704448

What OpenQuestion holds

Textmetadata
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.