Evidence map›Paper›PMID 39537383›Full record

ArticleJournal of internal medicine2025

Incidence and predictors of clinical failure after early treatment for mild-to-moderate COVID-19 in high-risk individuals: A multicentric cohort study.

Ilaria Mastrorosa, Alessandro Cozzi Lepri, Cosmo Del Borgo, Silvia Rosati, Martina Rueca, Loredana Sarmati, Claudio Mastroianni, Massimo Fantoni, Fabrizio Maggi, Emanuele Nicastri and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
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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.

Ilaria MastrorosaClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.ORCID https://orcid.org/0000-0003-1944-662X
Alessandro Cozzi LepriCentre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, UCL, London, UK.
Cosmo Del BorgoInfectious Diseases Unit, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy.
Silvia RosatiClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Martina RuecaLaboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Loredana SarmatiInfectious Diseases Unit, Tor Vergata University Hospital, Rome, Italy.
Claudio MastroianniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Massimo FantoniEmergency Infectious Diseases Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Fabrizio MaggiLaboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Emanuele NicastriClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Enrico GirardiScientific Direction, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Miriam LichtnerInfectious Diseases Unit, Santa Maria Goretti Hospital, Sapienza University of Rome, Latina, Italy.
Andrea AntinoriClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Valentina MazzottaClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Early Treatment for COVID‐19 Lazio Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the risk of COVID-19-related hospitalization and death (CovH/D), among high-risk individuals early treated for COVID-19 and to identify associated factors. METHODS AND

resultsA multicenter cohort of 12,475 high-risk outpatients (female 50.2%, median age 70 years [IQR 57-80], fully vaccinated 79.1%, immunocompromised 23.2%) treated with monoclonal antibodies or antivirals for mild-to-moderate COVID-19 (March 2021-May 2023) in the Lazio region, Italy. The unadjusted risk of CovH/D by Day 30 was 3.08% (95% CI 2.7%-3.4%). By means of logistic regression models, which included a specific set of potential confounders for each exposure of interest, we observed a higher risk for the elderly, unvaccinated and immunocompromised participants. Using the "Delta period" as a reference, a decreased risk was observed for Omicron waves.

conclusionsDespite the administration of COVID-19 early treatment and the decreasing risk of CovH/D across the calendar periods, the elderly, the unvaccinated and the immunocompromised people remain at high risk of clinical progression.

Indexed as

Antiviral AgentsCOVID-19COVID-19 Drug TreatmentAgedAged, 80 and overCohort StudiesFemaleHospitalizationHumansImmunocompromised HostIncidenceItalyMaleMiddle AgedRisk FactorsSARS-CoV-2Antiviral AgentsCOVID‐19 early treatmentCOVID‐19‐related deathCOVID‐19‐related hospitalizationimmunocompromised statusolder age

Identifiers

PMID39537383
PMCPMC11846074

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Registered trials

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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.