Evidence map›Paper›PMID 35081151›Full record

ArticlePloS one2022

Predictive factors of clinical outcomes in patients with COVID-19 treated with tocilizumab: A monocentric retrospective analysis.

Giulia Cassone, Giovanni Dolci, Giulia Besutti, Luca Braglia, Paolo Pavone, Romina Corsini, Fabio Sampaolesi, Valentina Iotti, Elisabetta Teopompi, Marco Massari and 8 more

Abstract read
In one paragraph

Article in PloS one, 2022. 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
–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

2 citing papers in PubMed.

  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

18 authors.

Giulia CassoneRheumatology Unit, IRCCS Arcispedale Santa Maria Nuova, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Giovanni DolciInfectious Disease Unit, University of Modena and Reggio Emilia, Modena, Italy.ORCID 0000-0001-9948-652X
Giulia BesuttiClinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy.
Luca BragliaAzienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Paolo PavoneInfectious Disease Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Romina CorsiniInfectious Disease Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Fabio SampaolesiInfectious Disease Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Valentina IottiRadiology Unit, Department of Imaging and Laboratory Medicine, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Elisabetta TeopompiSOC Internistica Multidisciplinare, Ospedale Civile Guastalla, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Marco MassariInfectious Disease Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Matteo FontanaPneumology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Giulia GhidoniPneumology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Anaflorina MateiDepartment of Anesthesia and Intensive Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Stefania CrociClinical Immunology, Allergy and Advanced Biotechnologies Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0002-8622-0439
Emanuele Alberto NegriHigh Intensity Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Massimo CostantiniAzienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Nicola FacciolongoPneumology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Carlo SalvaraniRheumatology Unit, IRCCS Arcispedale Santa Maria Nuova, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this retrospective observational study is to analyse clinical, serological and radiological predictors of outcome in patients with COVID-19 pneumonia treated with tocilizumab, providing clinical guidance to its use in real-life.

methodThis is a retrospective, monocentric observational cohort study. All consecutive patients hospitalized between February the 11th and April 14th 2020 for severe COVID-19 pneumonia at Reggio Emilia AUSL and treated with tocilizumab were enrolled. The patient's clinical status was recorded every day using the WHO ordinal scale for clinical improvement. Response to treatment was defined as an improvement of one point (from the status at the beginning of tocilizumab treatment) during the follow-up on this scale. Bivariate association of main patients' characteristics with outcomes was explored by descriptive statistics and Fisher or Kruskal Wallis tests (respectively for qualitative or quantitative variables). Each clinically significant predictor was checked by a loglikelihood ratio test (in univariate logistic models for each of the considered outcomes) against the null model.

resultsA total of 173 patients were included. Only hypertension, the use of angiotensin-converting enzyme inhibitors, PaO2/FiO2, respiratory rate and C-reactive protein were selected for the multivariate analysis. In the multivariable model, none of them was significantly associated with response.

conclusionsEvaluating a large number of clinical variables, our study did not find new predictors of outcome in COVID19 patients treated with tocilizumab. Further studies are needed to investigate the use of tocilizumab in COVID-19 and to better identify clinical phenotypes which could benefit from this treatment.

Indexed as

COVID-19 Drug TreatmentAgedAntibodies, Monoclonal, HumanizedCOVID-19C-Reactive ProteinFemaleHumansMaleMiddle AgedOxygen ConsumptionRespiratory RateRetrospective StudiesSARS-CoV-2Treatment OutcomeAntibodies, Monoclonal, HumanizedC-Reactive Proteintocilizumab

Identifiers

PMID35081151
PMCPMC8791493

What OpenQuestion holds

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LicenceCC BY
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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.