Evidence map›Paper›PMID 35854433›Full record

Observational studyJournal of medical virology2022

Early predictors of clinical deterioration in a cohort of outpatients with COVID-19 in southern Italy: A multicenter observational study.

Caterina Monari, Mariantonietta Pisaturo, Paolo Maggi, Margherita Macera, Giovanni Di Caprio, Raffaella Pisapia, Valeria Gentile, Mario Fordellone, Paolo Chiodini, Nicola Coppola and 1 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of medical virology, 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
–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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Observational
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

11 authors.

Caterina MonariDepartment of Mental Health and Public Medicine, Infectious Diseases Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
Mariantonietta PisaturoDepartment of Mental Health and Public Medicine, Infectious Diseases Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
Paolo MaggiInfectious Disease Unit, AORN Caserta, Caserta, Italy.
Margherita MaceraInfectious Disease Unit, AORN Caserta, Caserta, Italy.
Giovanni Di CaprioInfectious Disease Unit, AORN Caserta, Caserta, Italy.
Raffaella PisapiaInfectious Diseases Unit, AORN dei Colli, Naples, Italy.
Valeria GentileDepartment of Mental Health and Public Medicine, Infectious Diseases Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
Mario FordelloneMedical Statistics Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
Paolo ChiodiniMedical Statistics Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
Nicola CoppolaDepartment of Mental Health and Public Medicine, Infectious Diseases Unit, University of Campania Luigi Vanvitelli, Naples, Italy.ORCID 0000-0001-5897-4949
CoviCam Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data regarding early predictors of clinical deterioration in patients with infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is still scarce. The aim of the study is to identify early symptoms or signs that may be associated with severe coronavirus disease 2019 (COVID-19). We conducted a multicentre prospective cohort study on a cohort of patients with COVID-19 in home isolation from March 2020 to April 2021. We assessed longitudinal clinical data (fever, dyspnea, need for hospitalization) through video calls at three specific time points: the beginning of symptoms or the day of the first positivity of the nasopharyngeal swab for SARS-CoV-2-RNA (t

Indexed as

Clinical DeteriorationCOVID-19AdultAgedCohort StudiesFemaleFeverHospitalizationHumansMaleMiddle AgedOutpatientsProspective StudiesSARS-CoV-2COVID-19early predictorsfeverSARS-CoV-2 infectionsevere outcome

Identifiers

PMID35854433
PMCPMC9545617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.