Evidence map›Paper›PMID 37477915›Full record

ArticleJAMA network open2023

Prevalence of Low-Frequency, Antiviral Resistance Variants in SARS-CoV-2 Isolates in Ontario, Canada, 2020-2023.

Calvin P Sjaarda, Lynette Lau, Jared T Simpson, Ramzi Fattouh, Mia J Biondi, Finlay Maguire, Aaron Campigotto, Yujia Feng, Kyla Tozer, Henry Wong and 5 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  9. Structure-based design of SARS-CoV-2 papain-like protease inhibitors.European journal of medicinal chemistry · 2024
    Article
  10. Article
  11. Article
  12. High Mortality With COVID-19 Acute Pericarditis.Journal of the American Heart Association · 2023
    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

15 authors at 6 institutions in 1 country.

Calvin P SjaardaDivision of Microbiology, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Lynette LauHospital for Sick Children, Toronto, Ontario, Canada.
Jared T SimpsonOntario Institute for Cancer Research, Toronto General Hospital, Toronto, Ontario, Canada.
Ramzi FattouhDepartment of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Mia J BiondiSchool of Nursing, York University, Toronto, Ontario, Canada.
Finlay MaguireShared Hospital Laboratory, Toronto, Ontario, Canada.
Aaron CampigottoHospital for Sick Children, Toronto, Ontario, Canada.
Yujia FengLaboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Kyla TozerDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada.
Henry WongDivision of Microbiology, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Wilson W L SungHospital for Sick Children, Toronto, Ontario, Canada.
Sean KimHospital for Sick Children, Toronto, Ontario, Canada.
Christian R MarshallHospital for Sick Children, Toronto, Ontario, Canada.
Prameet M ShethDivision of Microbiology, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Robert KozakDepartment of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Hospital for Sick Children · CAQueen's University · CASunnybrook Health Science Centre · CAOntario Institute for Cancer Research · CASt. Michael's Hospital · CAYork University · CA

Funding

CIHR
6 · The paper itself

Abstract

Importance: Nirmatrelvir-ritonavir is an oral antiviral medication that improves outcomes in SARS-CoV-2 infections. However, there is concern that antiviral resistance will develop and that these viruses could be selected for after treatment. Objective: To determine the prevalence of low-frequency SARS-CoV-2 variants in patient samples that could be selected for by nirmatrelvir-ritonavir. Design, Setting, and Participants: This retrospective cohort study was conducted at 4 laboratories that serve community hospitals, academic tertiary care centers, and COVID-19 assessment centers in Ontario, Canada. Participants included symptomatic or asymptomatic patients who tested positive for SARS-CoV-2 virus and submitted virus samples for diagnostic testing between March 2020 and January 2023. Exposure: SARS-CoV-2 infection. Main Outcomes and Measures: Samples with sufficient viral load underwent next-generation genome sequencing to identify low-frequency antiviral resistance variants that could not be identified through conventional sequencing. Results: This study included 78 866 clinical samples with next-generation whole-genome sequencing data for SARS-CoV-2. Low-frequency variants in the viral nsp5 gene were identified in 128 isolates (0.16%), and no single variant associated with antiviral resistance was predominate. Conclusions and Relevance: This cohort study of low-frequency variants resistant to nirmatrelvir-ritonavir found that these variants were very rare in samples from patients with SARS-CoV-2, suggesting that selection of these variants by nirmatrelvir-ritonavir following the initiation of treatment may also be rare. Surveillance efforts that involve sequencing of viral isolates should continue to monitor for novel resistance variants as nirmatrelvir-ritonavir is used more broadly.

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsCohort StudiesCOVID-19 Drug TreatmentHumansLactamsLeucineNitrilesOntarioPrevalenceProlineRetrospective StudiesRitonavirAntiviral AgentsLactamsLeucinenirmatrelvirNitrilesProlineRitonavir

Identifiers

PMID37477915
PMCPMC10362469
OpenAlexW4384926072

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.