Evidence map›Paper›PMID 34052423›Full record

SynthesisCritical reviews in oncology/hematology2021

Mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection with a specific focus on lung and breast cancers: A systematic review and meta-analysis.

Marco Tagliamento, Elisa Agostinetto, Marco Bruzzone, Marcello Ceppi, Kamal S Saini, Evandro de Azambuja, Kevin Punie, C Benedikt Westphalen, Gilberto Morgan, Paolo Pronzato and 3 more

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical reviews in oncology/hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 4 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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  17. Targeting Breast Cancer: An Overlook on Current Strategies.International journal of molecular sciences · 2023
    Review
  18. Article
  19. Observational
  20. The Interplay of Lung Cancer, COVID-19, and Vaccines.International journal of molecular sciences · 2022
    Review
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

13 authors at 6 institutions in 5 countries.

Marco TagliamentoDepartment of Medical Oncology, Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Internal Medicine and Medical Specialties (DiMI), University of Genova, Genova, Italy.
Elisa AgostinettoDepartment of Internal Medicine, Institut Jules Bordet and Université Libre de Bruxelles (ULB), Brussels, Belgium; Humanitas Clinical and Research Center - IRCCS, Humanitas Cancer Center, Rozzano, Milan, Italy.
Marco BruzzoneClinical Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Marcello CeppiClinical Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Kamal S SainiCovance Inc., Princeton, NJ, USA.
Evandro de AzambujaDepartment of Internal Medicine, Institut Jules Bordet and Université Libre de Bruxelles (ULB), Brussels, Belgium.
Kevin PunieDepartment of General Medical Oncology and Multidisciplinary Breast Centre, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium.
C Benedikt WestphalenComprehensive Cancer Center Munich & Department of Medicine III, University Hospital, LMU Munich, Germany.
Gilberto MorganDepartment of Medical and Radiation Oncology, Skåne University Hospital, Lund, Sweden.
Paolo PronzatoDepartment of Medical Oncology, Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Lucia Del MastroDepartment of Internal Medicine and Medical Specialties (DiMI), University of Genova, Genova, Italy; Breast Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Francesca PoggioBreast Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Matteo LambertiniDepartment of Internal Medicine and Medical Specialties (DiMI), University of Genova, Genova, Italy; Department of Medical Oncology, UOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy. Electronic address: matteo.lambertini@unige.it.
Ospedale Policlinico San Martino · ITUniversité Libre de Bruxelles · BECovance (United States) · USKU Leuven · BELMU Klinikum · DESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA systematic review and meta-analysis was performed to estimate mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection.

methodsA systematic search of PubMed, up to 31 January 2021, identified publications reporting the case-fatality rate (CFR) among adult patients with solid or hematological malignancies and SARS-CoV-2 infection. The CFR, defined as the rate of death in this population, was assessed with a random effect model; 95% confidence intervals (CI) were calculated.

resultsAmong 135 selected studies (N = 33,879 patients), the CFR was 25.4% (95% CI 22.9%-28.2%). At a sensitivity analysis including studies with at least 100 patients, the CFR was 21.9% (95% CI 19.1%-25.1%). Among COVID-19 patients with lung (N = 1,135) and breast (N = 1,296) cancers, CFR were 32.4% (95% CI 26.5%-39.6%) and 14.2% (95% CI 9.3%-21.8%), respectively.

conclusionsPatients with solid or hematological malignancies and SARS-CoV-2 infection have a high probability of mortality, with comparatively higher and lower CFRs in patients with lung and breast cancers, respectively.

Indexed as

Breast NeoplasmsCOVID-19Hematologic NeoplasmsAdultFemaleHumansLungSARS-CoV-2Breast cancerCancerCOVID-19Lung cancerMortalitySARS-CoV-2Tumor

Identifiers

PMID34052423
PMCPMC8156831
OpenAlexW3165601212

What OpenQuestion holds

Textmetadata
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.