Evidence map›Paper›PMID 34707988›Full record

ArticleFrontiers in oncology2021

SARS-CoV-2 Infection in Cancer Patients: A Population-Based Study.

Manuel Zorzi, Stefano Guzzinati, Francesco Avossa, Ugo Fedeli, Arianna Calcinotto, Massimo Rugge

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  6. Experiences of cancer care in COVID-19: A longitudinal qualitative study.European journal of oncology nursing : the official journal of European Oncology Nursing Society · 2022
    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

6 authors at 3 institutions in 2 countries.

Manuel ZorziRegional Epidemiological Service Unit, Azienda Zero, Padova, Italy.
Stefano GuzzinatiVeneto Tumor Registry, Azienda Zero, Padova, Italy.
Francesco AvossaRegional Epidemiological Service Unit, Azienda Zero, Padova, Italy.
Ugo FedeliRegional Epidemiological Service Unit, Azienda Zero, Padova, Italy.
Arianna CalcinottoInstitute of Oncology Research (iOR), Oncology Institute of Southern Switzerland, Bellinzona, Switzerland.
Massimo RuggeVeneto Tumor Registry, Azienda Zero, Padova, Italy.
Regione del Veneto · ITInstitute of Oncology Research · CHUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIn a consecutive series of cancer patients tested for SARS-CoV-2 infection, this retrospective population-based study investigates the risks of viral infection and death.

methodsMalignancies were distinguished as incident or prevalent (active or inactive). Cancer management and vital status were retrieved from institutional regional databases. Comorbidities were recorded, based on Adjusted Clinical Groups (ACG). Six Resource Utilization Bands (RUBs) were also considered. Independent risk factors for SARS-CoV-2 infection and death were identified using multivariable logistic regression, considering sex, age, comorbidities and RUBs, cancer status (active

resultsAmong 34,929 cancer patients, 1,090 (3.1%) tested positive for SARS-CoV-2 infection (CoV2+

conclusionIn a large cohort of cancer patients, the risk of SARS-CoV-2 infection was higher for those with inactive disease than in incident or prevalent-active cases. Among CoV2+ve cancer patients, active malignancies and recent multimodal therapy both significantly raised the risk of death, which increased particularly for lung cancer.

Indexed as

cohort studycomorbiditiesmortality rateneoplasmsSARS- CoV-2

Identifiers

PMID34707988
PMCPMC8542867
OpenAlexW3206834079

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.