Evidence map›Paper›PMID 37142688›Full record

ReviewNature microbiology2023

Therapeutics for COVID-19.

Sima S Toussi, Jennifer L Hammond, Brian S Gerstenberger, Annaliesa S Anderson

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 5 pooled it
20.2field-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

76 citing papers in PubMed, 5 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
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  3. Risk Factors for Pediatric Critical COVID-19: A Systematic Review and Meta-Analysis.Journal of the Pediatric Infectious Diseases Society · 2024
    Pooled it
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16 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Sima S ToussiPfizer, Pearl River, NY, USA.
Jennifer L HammondPfizer, Collegeville, PA, USA.
Brian S GerstenbergerPfizer, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6553-1975
Annaliesa S AndersonPfizer, Pearl River, NY, USA. annaliesa.anderson@pfizer.com.ORCID http://orcid.org/0000-0002-6413-1718
Pfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccines and monoclonal antibody treatments to prevent severe coronavirus disease 2019 (COVID-19) illness were available within a year of the pandemic being declared but there remained an urgent need for therapeutics to treat patients who were not vaccinated, were immunocompromised or whose vaccine immunity had waned. Initial results for investigational therapies were mixed. AT-527, a repurposed nucleoside inhibitor for hepatitis C virus, enabled viral load reduction in a hospitalized cohort but did not reduce viral load in outpatients. The nucleoside inhibitor molnupiravir prevented death but failed to prevent hospitalization. Nirmatrelvir, an inhibitor of the main protease (Mpro), co-dosed with the pharmacokinetic booster ritonavir, reduced hospitalization and death. Nirmatrelvir-ritonavir and molnupiravir received an Emergency Use Authorization in the United States at the end of 2021. Immunomodulatory drugs such as baricitinib, tocilizumab and corticosteroid, which target host-driven COVID-19 symptoms, are also in use. We highlight the development of COVID-19 therapies and the challenges that remain for anticoronavirals.

Indexed as

COVID-19CytidineHumansHydroxylaminesNucleosidesRitonavirCytidineHydroxylaminesmolnupiravirNucleosidesRitonavir

Identifiers

PMID37142688
OpenAlexW4368343294

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.