Evidence map›Paper›PMID 34447972›Full record

ArticleJournal of cancer biology2021

COVID-19 in patients with and without cancer: Examining differences in patient characteristics and outcomes.

Nihal E Mohamed, Emma Kt Benn, Varuna Astha, Qainat N Shah, Yasmine Gharib, Holden E Kata, Heather Honore-Goltz, Zachary Dovey, Natasha Kyprianou, Ashutosh K Tewari

Abstract read
In one paragraph

Article in Journal of cancer biology, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Nihal E MohamedDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Emma Kt BennCenter for Biostatistics and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Varuna AsthaCenter for Biostatistics and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Qainat N ShahDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yasmine GharibDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Holden E KataDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Heather Honore-GoltzDepartment of Criminal Justice and Social Work, University of Houston-Downtown, Houston, TX, USA.
Zachary DoveyDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Natasha KyprianouDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ashutosh K TewariDepartment of Urology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Novel Approach to Enhance Ostomy Care in Patients with Bladder and Colorectal CancerR21NR016518 · NINR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MOHAMED, NIHAL · 2017 to 2018
$475k
The personal patient profile decision support for patients with bladder cancerR21NR018942 · NINR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOBER, WILLIAM B, MOHAMED, NIHAL · 2020 to 2021
$468k
NINR NIH HHS R21 NR016518NINR NIH HHS R21 NR018942
6 · The paper itself

Abstract

This study examines differences between patients with and without cancer in patient demographic and clinical characteristics and COVID-19 mortality and discusses the implications of these differences in relation to existing cancer disparities and COVID-19 vulnerabilities. Data was collected as a part of a retrospective study on a cohort of COVID-19 positive patients across Mount Sinai Health System from March 28, 2020 to April 26, 2020. Descriptive, comparative, and regression analyses were applied to examine differences between patients with and without cancer in demographic and clinical characteristics and COVID-19 mortality and whether cancer status predicts COVID-19 mortality controlling for these covariates using SAS 9.4. Results showed that, of 4641 patients who tested positive for COVID-19, 5.1% (N=236) had cancer. The median age of the total sample was 58 years (Q1-Q3: 41-71); 55.3% were male, 19.2% were current/former smokers, 6.1% were obese. The most commonly reported comorbidities were hypertension (22.6%) and diabetes (16.0%). Overall, the COVID-19 mortality rate was 8.3%. Examining differences between COVID-19 patients with and without cancer revealed significant differences (p<0.05) in COVID-19 mortality, hospitalization rates, age, gender, race, smoking status, obesity, and comorbidity indicators (e.g., diabetes) with cancer patients more likely to be older, male, black, obese, smokers, and with existing comorbidities. Controlling for these clinical, demographic, and behavioral characteristics, results of logistic regression analyses showed significant effects of older age and male gender on COVID-19 mortality (p<0.05). While cancer patients with COVID-19 were more likely to experience worse COVID-19 outcomes, these associations might be related to common cancer and COVID-19 vulnerability factors such as older age and gender. The coexistence of these vulnerability age and gender factors in both cancer and COVID-19 populations emphasizes the need for better understanding of their implications for cancer and COVID-19 disparities, both diseases prevention efforts, policies, and clinical management.

Indexed as

CancerDisparitiesInfectionPandemicSurvivalVirus

Identifiers

PMID34447972
PMCPMC8386503

What OpenQuestion holds

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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.