Evidence map›Paper›PMID 36156117›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Remdesivir Resistance in Transplant Recipients With Persistent Coronavirus Disease 2019.

John I Hogan, Ralf Duerr, Dacia Dimartino, Christian Marier, Sarah E Hochman, Sapna Mehta, Guiqing Wang, Adriana Heguy

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

John I HoganDepartment of Medicine, NYU Long Island School of Medicine, Mineola, New York, USA.
Ralf DuerrDepartment of Microbiology, NYU Grossman School of Medicine, New York, New York, USA.
Dacia DimartinoGenome Technology Center, NYU Langone Health, New York, New York, USA.
Christian MarierGenome Technology Center, NYU Langone Health, New York, New York, USA.
Sarah E HochmanDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
Sapna MehtaDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
Guiqing WangDepartment of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
Adriana HeguyGenome Technology Center, NYU Langone Health, New York, New York, USA.ORCID 0000-0002-2836-6683
New York University · USNew York Genome Center · USLong Island University · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
NCI NIH HHS P30 CA016087
6 · The paper itself

Abstract

New mutations conferring resistance to SARS-CoV-2 therapeutics have important clinical implications. We describe the first cases of an independently acquired V792I RNA-dependent RNA polymerase mutation developing in renal transplant recipients after remdesivir exposure. Our work underscores the need for augmented efforts to identify concerning mutations and address their clinical implications.

Indexed as

COVID-19Adenosine MonophosphateAlanineAntiviral AgentsCOVID-19 Drug TreatmentHumansSARS-CoV-2Transplant RecipientsAdenosine MonophosphateAlanineAntiviral Agentsremdesivirantiviral resistanceimmunocompromiseremdesivirsevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)solid-organ transplant

Identifiers

PMID36156117
PMCPMC9619446
OpenAlexW4297255628

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.