Evidence map›Paper›PMID 33686767›Full record

ArticleAmerican journal of medical genetics. Part A2021

Management of COVID-19 infection in organic acidemias.

Shagun Kaur, Stephanie L Campbell, David W Stockton

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in American journal of medical genetics. Part A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Management of COVID-19 infection in organic acidemias.American journal of medical genetics. Part A · 2021
    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

3 authors at 2 institutions in 1 country.

Shagun KaurDivision of Genetic, Genomic, and Metabolic Disorders, Children's Hospital of Michigan, Detroit, Michigan, USA.ORCID 0000-0002-0612-7470
Stephanie L CampbellDivision of Genetic, Genomic, and Metabolic Disorders, Children's Hospital of Michigan, Detroit, Michigan, USA.
David W StocktonDivision of Genetic, Genomic, and Metabolic Disorders, Children's Hospital of Michigan, Detroit, Michigan, USA.
Children's Hospital of Michigan · USCentral Michigan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has affected the health and healthcare of individuals of all ages worldwide. There have been multiple reports and reviews documenting a milder effect and decreased morbidity and mortality in the pediatric population, but there have only been a small number of reports discussing the SARS-CoV-2 infection in the setting of an inborn error of metabolism (IEM). Here, we report two patients with underlying metabolic disorders, propionic acidemia and glutaric aciduria type 1, and discuss their clinical presentation, as well as their infectious and metabolic management. Our report demonstrates that individuals with an underlying IEM are at risk of metabolic decompensation in the setting of a COVID-19 infection. The SARS-CoV-2 virus does not appear to cause a more severe metabolic deterioration than is typical.

Indexed as

SARS-CoV-2AcidosisAcidosis, LacticAmino Acid Metabolism, Inborn ErrorsBlood Component TransfusionBrain Diseases, MetabolicCombined Modality TherapyCOVID-19COVID-19 Nucleic Acid TestingDietary ProteinsDisease ManagementDisease SusceptibilityEnergy IntakeEnteral NutritionFemaleFluid TherapyDietary ProteinsGlucoseGlutaryl-CoA DehydrogenaseInsulinCOVID-19glutaric acidemia type 1pediatricpropionic acidemiaSARS-CoV-2

Identifiers

PMID33686767
PMCPMC8250661
OpenAlexW3135528418

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.