Evidence map›Paper›PMID 33291710›Full record

ArticleJournal of clinical medicine2020

On Cancer, COVID-19, and CT Scans: A Monocentric Retrospective Study.

Francesca Martini, Andrea D'Alessio, Federico Bracchi, Daniela Di Mauro, Anna Fargnoli, Marco Motta, Cristina Giussani, Marco Meazza Prina, Giovanni Gobbin, Monica Taverna

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Pooled it
  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

10 authors.

Francesca MartiniDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.ORCID 0000-0002-1168-6568
Andrea D'AlessioDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.ORCID 0000-0002-6797-0410
Federico BracchiDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Daniela Di MauroDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Anna FargnoliDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Marco MottaDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Cristina GiussaniDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Marco Meazza PrinaDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Giovanni GobbinDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.
Monica TavernaDepartment of Internal Medicine and Onco-Haematology, Policlinico S. Marco, 24040 Bergamo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The use of computed tomography (CT) for coronavirus disease 2019 (COVID-19) diagnosis in an area of northern Italy with a high incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may have identified more patients with this disease than RT-PCR in the very early onset of the COVID-19 pandemic. Methods We retrospectively reviewed 148 chest CT scans of oncological patients who were referred to the Radiological Unit of Policlinico S. Marco from 1 February 2020 to 30 April 2020, during the COVID-19 outbreak in Bergamo area. In parallel, we analyzed RT-PCR tests of these 148 patients. Results Among 32 patients with a diagnosis of COVID-19, 17 patients were asymptomatic or had mild symptoms (53.1%), while 15 developed severe disease (46.8%). The incidence of SARS-CoV-2 infection was 22.9%, the mortality rate was 18.8%. We did not find any correlation between disease severity and age, sex, smoking, or cardiovascular comorbidities. Remarkably, patients who were on treatment for cancer developed a milder disease than patients who were not on treatment. Conclusions The acceptance of CT-defined diagnoses in COVID-19 high-incidence areas like Bergamo region highlighted a larger oncological population affected by COVID-19 than RT-PCR, in particular, asymptomatic and mildly symptomatic patients, because only symptomatic patients underwent nasopharyngeal swabbing at the onset of the COVID-19 pandemic. We observed that patients actively treated for their cancer had a milder disease, in agreement with previous studies that suggested a protective role of immunosuppression. Admittedly, the sample of patients in our study was heterogeneous regarding the oncological disease, their prognosis, and the type of treatment; therefore, other studies are needed to confirm our data.

Indexed as

COVID-19 infectionCT scanoncological patients

Identifiers

PMID33291710
PMCPMC7761962

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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.