Evidence map›Paper›PMID 34729153›Full record

ArticleTherapeutic advances in chronic disease2021

Prognostic factors in cancer patients infected with SARS-CoV-2: a Latin American country results.

Erika Ruiz-Garcia, Adriana Peña-Nieves, Jorge Alegria-Baños, Patricia Cornejo-Juarez, Abelardo Meneses-García, Samuel Rivera Rivera, Juan José Sánchez, Raquel Gerson-Cwilich, Daniela Shveid Gerson, Heriberto Medina Franco and 6 more

Abstract read
In one paragraph

Article in Therapeutic advances in chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

16 authors.

Erika Ruiz-GarciaDepartment of Medical Oncology & Translational Medicine Laboratory, Instituto Nacional de Cancerología, Av. San Fernando N. 22, ZC 14080 Mexico City, Mexico.
Adriana Peña-NievesTranslational Medicine Laboratory, Instituto Nacional de Cancerología, Mexico City, Mexico.ORCID https://orcid.org/0000-0003-0632-0585
Jorge Alegria-BañosCentro Oncológico Hospital Medica Sur, Mexico City, Mexico & Facultad de Ciencias Químicas, Universidad La Salle, Mexico City, Mexico.
Patricia Cornejo-JuarezDepartment of Infectious Disease, Instituto Nacional de Cancerología, Mexico City, Mexico.
Abelardo Meneses-GarcíaTranslational Medicine Laboratory, Instituto Nacional de Cancerología, Mexico City, Mexico.
Samuel Rivera RiveraDepartment of Medical Oncology, Hospital de Oncología CM SXXI, IMSS, Mexico City, Mexico.
Juan José SánchezDepartment of Medical Oncology, Hospital de Oncología CM SXXI, IMSS, Mexico City, Mexico.
Raquel Gerson-CwilichDepartment of Medical Oncology, Centro Médico ABC, Mexico City, Mexico.
Daniela Shveid GersonDepartment of Medical Oncology, Centro Médico ABC, Mexico City, Mexico.
Heriberto Medina FrancoDepartment of Surgery, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Gabriela Alejandra BuerbaDepartment of Surgery, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Alicia Acosta EspinozaHospital ISSSTE/ISSSTECALI, Mexicali, Mexico.
Norma Valencia MijaresHospital Regional de Alta Especialidad de Oaxaca, UMAA #1, IMSS, Oaxaca, Mexico.
Edith A Fernández-FigueroaComputational and Integrative Genomics, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Roberto A VázquezFacultad de Ingeniería, Universidad La Salle, Mexico City, Mexico.
Diana Vilar-CompteDepartment of Infectious Disease, Instituto Nacional de Cancerología, Av. San Fernando N. 22, ZC 14080 Mexico City, Mexico. Hospital Epidemiology, Instituto Nacional de Cancerología, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate the demographic characteristics, clinical and pathological factors, and the outcome of cancer and COVID-19 patients in Mexico. PATIENTS AND

methodsA prospective, multicentric study was performed through a digital platform to have a national registry of patients with cancer and positive SARS-CoV-2 test results through reverse transcription quantitative polymerase chain reaction (RT-qPCR). We performed the analysis through a multivariate logistic regression model and Cox proportional hazard model.

resultsFrom May to December 2020, 599 patients were registered with an average age of 56 years with 59.3% female; 27.2% had hypertension. The most frequent diagnoses were breast cancer (30.4%), lymphoma (14.7%), and colorectal cancer (14.0%); 72.1% of patients had active cancer and 23.5% of patients (141/599) were deceased, the majority of which were men (51.7%). This study found that the prognostic factors that reduced the odds of death were gender (OR = 0.42,

conclusionMortality in cancer patients with COVID-19 is determined by prognostic factors whose identification is necessary. In our cancer population, we have observed that being female, younger, non-COPD, with non-active cancer, good performance status, and high oxygen levels reduce the probability of death.

Indexed as

cancer patientsCOVID-19deathLatin Americaprognostic factorssurvival

Identifiers

PMID34729153
PMCPMC8481715

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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.