Evidence map›Paper›PMID 37422621›Full record

Observational studyBMC infectious diseases2023

Real-world use of remdesivir for the treatment of patients admitted to Italian hospitals with COVID-19: the nationwide retrospective FADOI-RECOVER study.

Filippo Pieralli, Fulvio Pomero, Francesco Dentali, Claudio Norbiato, Tiziana Attardo, Susanna Vicari, Elena Magnani, Maria Antonietta Marzilli, Paola Piccolo, Antonella Valerio and 2 more

Open access · goldAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 19 institutions in 1 country.

Filippo Pieralli *Internal Medicine and Intermediate Care Unit, Careggi University Hospital, Florence, Italy.
Fulvio Pomero *Internal Medicine, Michele and Pietro Ferrero Hospital, Verduno, Cuneo, Italy.
Francesco DentaliDepartment of Emergency of High-Specialty and Medical Center, ASST-Settelaghi, Varese, Italy.
Claudio NorbiatoInternal Medicine, Ordine Mauriziano di Torino Hospital, Turin, Italy.
Tiziana AttardoInternal Medicine Department, Ospedale di Circolo e Fondazione Macchi, ASST-Settelaghi, Varese, Italy.
Susanna VicariInternal Medicine, Bentivoglio Hospital, AUSL Bologna, Bentivoglio, Bologna, Italy.
Elena MagnaniInternal Medicine, M. Bufalini Hospital, AUSL Romagna, Cesena, Italy.
Maria Antonietta MarzilliInternal Medicine Department, SS. Trinità Hospital, Cagliari, Italy.
Paola PiccoloInternal Medicine, Fatebenefratelli Isola Tiberina Hospital, Gemelli Isola, Rome, Italy.
Antonella ValerioResearch Department, FADOI Foundation, Piazzale Cadorna, 15, 20123, Milan, Italy. antonella.valerio@fadoi.org.
Dario ManfellottoInternal Medicine, Fatebenefratelli Isola Tiberina Hospital, Gemelli Isola, Rome, Italy.
FADOI RECOVER Study Group
A. O. Ordine Mauriziano di Torino · ITOspedale “M. Bufalini” di Cesena · ITAzienda Ospedaliera S.Giuseppe Moscati · ITAzienda Ospedaliero-Universitaria Careggi · ITFatebenefratelli Hospital · ITOspedale di Circolo e Fondazione Macchi · ITOspedale Infermi di Rimini · ITOspedale San Paolo · ITUniversity of Sassari · ITASST Melegnano e della Martesana · ITEnte Ospedaliero Ospedali Galliera · ITOspedale Generale Regionale Francesco Miulli · ITOspedale per gli Infermi · ITOspedale San Paolo · ITPresidenza Del Consiglio Dei Ministri · ITSantissima Trinità · ITFondazione FADOI · ITOspedale San Pietro Fatebenefratelli · ITOspedale SS. Annunziata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemdesivir is widely used for treatment of SARS-CoV-2 pneumonia. The aim of this study was to evaluate the characteristics of patients with moderate-to-severe COVID-19 treated with remdesivir, and their outcomes during hospitalization.

methodsThis retrospective observational multicenter study included consecutive patients, hospitalized for moderate-to-severe COVID-19 (September 2020-September 2021), who were treated with remdesivir.

resultsOne thousand four patients were enrolled, all with onset of symptoms occurring less than 10 days before starting remdesivir; 17% of patients had 4 or more concomitant diseases. Remdesivir was well tolerated, adverse drug reactions (ADRs) being reported in 2.3% of patients. In-hospital death occurred in 80 patients (8.0%). The median timing of the first remdesivir dose was 5 days after symptom onset. The following endpoints did not differ according to the time span from the onset of symptoms to the first dose: length of hospitalization, in-hospital death, composite outcome (in-hospital death and/or endotracheal intubation). Advanced age, number of comorbidities ≥ 4, and severity of respiratory failure at admission were associated with poor in-hospital outcomes.

conclusionIn a real-world setting, remdesivir proved to be a safe and well-tolerated treatment for moderate-to-severe COVID-19. In patients receiving remdesivir less than 3 or 5 days from the onset of SARS-CoV-2 symptoms, mortality and the need for mechanical ventilation did not differ from the rest of the sample.

Indexed as

COVID-19Adenosine MonophosphateAlanineAntiviral AgentsCOVID-19 Drug TreatmentHospitalizationHospital MortalityHospitalsHumansRetrospective StudiesSARS-CoV-2Adenosine MonophosphateAlanineAntiviral AgentsremdesivirCOVID-19 pneumoniaInternal MedicineManagement of COVID-19Remdesivir

Identifiers

PMID37422621
PMCPMC10329794
OpenAlexW4383621627

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.