Evidence map›Paper›PMID 34898237›Full record

ArticleJCO global oncology2021

SARS-CoV-2 Infection Rate in Patients With Cancer and Health Care Workers in a Chemoradiotherapy Unit During the Pandemic: A Prospective Cohort in Mexico.

Monica Isabel Meneses-Medina, Jorge Humberto Hernandez-Felix, Luis Guillermo Anaya-Sánchez, Ana Karen Valenzuela-Vidales, Vanessa Rosas-Camargo, Edgar Omar Martos-Armendariz, Lucero Itzel Torres-Valdiviezo, Alberto Cedro-Tanda, Alejandro Noguez-Ramos, Luis Alonso Herrera-Montalvo and 4 more

Open access · goldAbstract read
In one paragraph

Article in JCO global oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 4 institutions in 2 countries.

Monica Isabel Meneses-MedinaDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.ORCID 0000-0002-8643-1113
Jorge Humberto Hernandez-FelixDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.ORCID 0000-0001-8532-6509
Luis Guillermo Anaya-SánchezDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.
Ana Karen Valenzuela-VidalesDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.
Vanessa Rosas-CamargoDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.
Edgar Omar Martos-ArmendarizDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.ORCID 0000-0002-0994-9621
Lucero Itzel Torres-ValdiviezoDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.
Alberto Cedro-TandaInstituto Nacional de Medicina Genómica, Ciudad de México, México.ORCID 0000-0001-8708-462X
Alejandro Noguez-RamosDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.
Luis Alonso Herrera-MontalvoInstituto Nacional de Medicina Genómica, Ciudad de México, México.
Alfredo Hidalgo-MirandaInstituto Nacional de Medicina Genómica, Ciudad de México, México.
Raymundo David Valdez-EcheverriaDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.ORCID 0000-0003-2876-3897
Arturo Galindo-FragaSubdirección de Epidemiología Hospitalaria, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.ORCID 0000-0002-2818-1160
Fidel David Huitzil-MeléndezDepartamento de Hematología y Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.ORCID 0000-0003-4143-9186
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXNational Institute of Genomic Medicine · MXUniversidad Autónoma de Coahuila · MXUniversidad Juárez del Estado de Durango · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCancer treatment during the COVID-19 pandemic represents a challenge. Hospital visits to receive treatment and interaction with health care workers (HCW) represent potential contagious events. We aimed to determine SARS-CoV-2 infection rate among patients with cancer and HCW of a chemoradiotherapy unit localized in a center designated as a COVID-19 priority facility in Mexico City. We also determined the diagnostic performance of a clinical questionnaire (CQ) as a screening tool and anti-SARS-CoV-2 antibody seroconversion rate.

methodsHCW and patients with solid tumors attending the chemoradiotherapy unit signed informed consent. To determine SARS-CoV-2 infection rate prospectively, a nasopharyngeal swab for SARS-CoV-2 real-time quantitative reverse transcriptase polymerase chain reaction (RT-qPCR) was performed every 2 weeks in asymptomatics. An electronic CQ interrogating COVID-19-related symptoms was sent daily. Anti-SARS-CoV-2 immunoglobulin G (IgG) antibodies were measured at baseline and at the end of the study period.

resultsFrom June to September 2020, we included 130 asymptomatic participants, 44.6% HCW and 55.4% patients with cancer. During a median follow-up of 85 days, 634 nasopharyngeal swabs were performed. Average SARS-CoV-2 monthly incidence was 4.6% (3.15%-7.47%), and cumulative infection rate was 13.8% (18 of 130). Cases were mostly asymptomatic (66%), and no hospitalizations or deaths were recorded. The CQ as a screening tool provided a sensitivity of 27.7%, a positive predictive value of 26.3%, and a positive likelihood ratio of 12. SARS-CoV-2 IgG seroconversion rate was 27.7% among those with a positive RT-PCR.

conclusionPatients with cancer on treatment can have uncomplicated COVID-19 outcomes. Biweekly RT-qPCR testing detects asymptomatic infections, prevents transmission, and should be implemented in units to increase patient safety. CQ increase RT-qPCR diagnostic yield and may prioritize testing in resource-deprived settings. Post-infection IgG seroconversion is unreliable.

Indexed as

COVID-19NeoplasmsChemoradiotherapyHealth PersonnelHumansMexicoPandemicsProspective StudiesSARS-CoV-2

Identifiers

PMID34898237
PMCPMC8667990
OpenAlexW4200046165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.