Evidence map›Paper›PMID 33549263›Full record

ReviewMayo Clinic proceedings2021

COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine.

Naveen L Pereira, Ferhaan Ahmad, Mirnela Byku, Nathan W Cummins, Alanna A Morris, Anjali Owens, Sony Tuteja, Sharon Cresci

Open access · bronzeAbstract readReview
In one paragraph

Review in Mayo Clinic proceedings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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  9. The Effect of Pomegranate Tea on the Clinical Outcomes and Symptom Alleviation in COVID-19 Patients: A Double-Blind Randomized Clinical Trial.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 1 country.

Naveen L PereiraDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN. Electronic address: pereira.naveen@mayo.edu.
Ferhaan AhmadDepartment of Internal Medicine, Division of Cardiovascular Medicine, University of Iowa Carver College of Medicine Iowa City, IA.
Mirnela BykuDepartment of Medicine, Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Nathan W CumminsDivision of Infectious Diseases, Mayo Clinic, Rochester, MN.
Alanna A MorrisDivision of Cardiology, Emory University, Atlanta, GA.
Anjali OwensDepartment of Medicine, University of Pennsylvania, Philadelphia, PA.
Sony TutejaDivision of Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Sharon CresciDepartment of Medicine and Genetics, Washington University, St Louis, MO.
University of Pennsylvania · USEmory University · USMayo Clinic · USMayo Clinic in Arizona · USUniversity of Iowa · USUniversity of North Carolina at Chapel Hill · USWashington University in St. Louis · US

Funding

Impact of the gut microbiome on response to lipid lowering therapyK23HL143161 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI TUTEJA, SONY · 2019 to 2022
$695k
NHLBI NIH HHS K23 HL143161
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is characterized by heterogeneity in susceptibility to the disease and severity of illness. Understanding inter-individual variation has important implications for not only allocation of resources but also targeting patients for escalation of care, inclusion in clinical trials, and individualized medical therapy including vaccination. In addition to geographic location and social vulnerability, there are clear biological differences such as age, sex, race, presence of comorbidities, underlying genetic variation, and differential immune response that contribute to variability in disease manifestation. These differences may have implications for precision medicine. Specific examples include the observation that androgens regulate the expression of the enzyme transmembrane protease, serine 2 which facilitates severe acute respiratory syndrome coronavirus 2 viral entry into the cell; therefore, androgen deprivation therapy is being explored as a treatment option in males infected with COVID-19. An immunophenotyping study of COVID-19 patients has shown that a subset develop T cytopenia which has prompted a clinical trial that is testing the efficacy of interleukin-7 in these patients. Predicting which COVID-19 patients will develop progressive disease that will require hospitalization has important implications for clinical trials that target outpatients. Enrollment of patients at low risk for progression of disease and hospitalization would likely not result in such therapy demonstrating efficacy. There are efforts to use artificial intelligence to integrate digital data from smartwatch applications or digital monitoring systems and biological data to enable identification of the high risk COVID-19 patient. The ultimate goal of precision medicine using such modern technology is to recognize individual differences to improve health for all.

Indexed as

Biological Variation, PopulationCOVID-19Precision MedicineCOVID-19 TestingGenetic Predisposition to DiseaseHumansSeverity of Illness IndexTreatment Outcome

Identifiers

PMID33549263
PMCPMC7713605
OpenAlexW3108234580

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.