Evidence map›Paper›PMID 35166033›Full record

ArticleCancer medicine2022

Clinical characteristics and outcomes in a cohort of oncologic patients with COVID-19 during the first year of the pandemic in Mexico.

Daniel De-la-Rosa-Martinez, Mercedes Aranda-Audelo, Alexandra Martin-Onraet, Beda Islas-Muñoz, Carolina Perez-Jimenez, Pamela Alatorre-Fernandez, Patricia Cornejo-Juarez, Erika Ruiz-Garcia, Paola Zinser-Peniche, Luis Nuñez-Luna and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 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
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Daniel De-la-Rosa-MartinezDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.ORCID 0000-0002-6351-0302
Mercedes Aranda-AudeloDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Alexandra Martin-OnraetDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Beda Islas-MuñozDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Carolina Perez-JimenezDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Pamela Alatorre-FernandezDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Patricia Cornejo-JuarezDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Erika Ruiz-GarciaTranslational Medicine Laboratory and Department of Gastrointestinal Tumors, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Paola Zinser-PenicheDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Luis Nuñez-LunaDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Abelardo Meneses-GarciaDivision of Pathology, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Angel Herrera-GomezDivision of Surgical Oncology, Instituto Nacional de Cancerologia, Mexico City, Mexico.
Diana Vilar-CompteDepartment of Infectious Diseases, Instituto Nacional de Cancerologia, Mexico City, Mexico.ORCID 0000-0001-8564-8735
Instituto Nacional de Cancerología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiterature on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in cancer patients is scarce in Latin America. This population seems to have a higher risk for adverse outcomes. This study aims to correlate clinical characteristics with outcomes in patients with cancer.

methodsWe included all patients with cancer and confirmed SARS-CoV-2 infection from April 19 to December 31, 2020, at the Instituto Nacional de Cancerologia, Mexico. Clinical information was obtained from medical and epidemiological records. For the association between variables and hospitalization, invasive mechanical ventilation (IMV), and mortality, univariate and multivariate logistic regression were performed; odds ratios and 95% confidence intervals were calculated.

resultsFour hundred thirty-three patients were included; 268 (62%) were female, the median age was 55 years. One hundred thirty-five (31%), 131 (30%), and 93 (21%) patients had obesity, hypertension, and diabetes mellitus (DM), respectively. Three hundred forty-one (79%) had solid cancer. One hundred seventy (39%) had advanced cancer. Two hundred (46%) patients were hospitalized. Age (p < 0.01), male gender (p = 0.03), hematological malignancies (HM) (p = 0.04) and advanced cancer (p = 0.03) increased the risk for hospital admission. Forty-five (10%) patients required IMV. Age (p = 0.02); DM (p = 0.04); high C-reactive protein (p < 0.01), and lactate dehydrogenase (p = 0.03) were associated with IMV. Mortality within 30 days after diagnosis was 18% (76 cases). Associated characteristics were age (p = 0.04) and low albumin (p < 0.01).

conclusionsIn this study, patients with cancer showed higher mortality, need for hospitalization, and IMV compared with other non-cancer cohorts. We did not find an increased risk in mortality for HM. Although our cohort was younger than others previously reported, age was a strong predictor of adverse outcomes. Variables associated with IMV and death were similar to those previously described in cancer patients with COVID-19.

Indexed as

COVID-19FemaleHumansMaleMexicoMiddle AgedPandemicsRespiration, ArtificialSARS-CoV-2cancerCOVID-19hospitalizationmechanical ventilationmortalityoutcomesSARS-CoV-2

Identifiers

PMID35166033
PMCPMC9041085
OpenAlexW4212806932

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.