Evidence map›Paper›PMID 36268521›Full record

ArticleDrug design, development and therapy2022

Impact of Remdesivir on SARS-CoV-2 Clearance in a Real-Life Setting: A Matched-Cohort Study.

Vincenzo Spagnuolo, Marta Voarino, Marco Tonelli, Laura Galli, Andrea Poli, Elena Bruzzesi, Sara Racca, Nicola Clementi, Chiara Oltolini, Moreno Tresoldi and 7 more

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2022. 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
0.5field-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. Review
  2. Review
  3. Review
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

17 authors at 2 institutions in 1 country.

Vincenzo SpagnuoloUnit of Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-9656-7217
Marta VoarinoFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Marco TonelliFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-2087-6777
Laura GalliUnit of Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), San Raffaele Scientific Institute, Milan, Italy.
Andrea PoliUnit of Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), San Raffaele Scientific Institute, Milan, Italy.
Elena BruzzesiFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Sara RaccaUnit of Microbiology and Virology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Nicola ClementiFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-1822-9861
Chiara OltoliniUnit of Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), San Raffaele Scientific Institute, Milan, Italy.
Moreno TresoldiGeneral Medicine and Advanced Care Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Patrizia Rovere QueriniFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Lorenzo DagnaFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-7428-315X
Alberto ZangrilloFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Fabio CiceriFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Massimo ClementiFaculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Antonella CastagnaUnit of Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), San Raffaele Scientific Institute, Milan, Italy.
COVID-BioB Study Group
Vita-Salute San Raffaele University · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evidence regarding the impact of remdesivir (RDV) on SARS-CoV-2 viral clearance (VC) is scarce. The aim of this study was to compare VC timing in hospitalized COVID-19 patients who did or did not receive RDV. Methods: This was a matched-cohort study of patients hospitalized with pneumonia, a SARS-CoV-2-positive nasopharyngeal swab (NPS) at admission, and at least one NPS during follow-up. Patients who received RDV (cases) and those who did not (controls) were matched in a 1:2 ratio by age, sex, and PaO Results: There were 648 patients enrolled in the study (216 cases and 432 controls). VC was observed in 490 patients (75.6%), with a median time of 25 (IQR 16-34) days. Overall, time to VC was similar between cases and controls (p = 0.519). However, time to VC was different when considering both RDV treatment status and age (p = 0.007). A significant finding was also observed when considering both RDV treatment status and P/F values at admission (p = 0.007). A multivariate analysis showed that VC was associated with a younger age (aHR = 0.990, 95% CI 0.983-0.998 per every 10-year increase in age; p = 0.009) and a higher baseline P/F ratio (aHR=1.275, 95% CI 1.029-1.579; p=0.026), but not with RDV treatment status. Conclusion: Time to VC was similar in cases and controls. However, there was a benefit associated with using RDV in regard to time to VC in younger patients and in those with a P/F ratio ≤200 mmHg at hospital admission.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Adenosine MonophosphateAlanineCohort StudiesHumansAdenosine MonophosphateAlanineremdesivirCOVID-19remdesivirSARS-CoV-2viral clearance

Identifiers

PMID36268521
PMCPMC9578770
OpenAlexW4306722641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.