Evidence map›Paper›PMID 35027318›Full record

ArticleClinical breast cancer2022

Factors Associated With Hospitalization Among Breast Cancer Patients With COVID-19: A Diverse Multi-Center Los Angeles Cohort Study.

Nikhita Kathuria-Prakash, Lauren Antrim, Nicholas Hornstein, Alexander W Sun, Irene M Kang, Nikita V Baclig, Trevor E Angell, Melissa G Lechner, Noah Wald-Dickler, Gino K In

Open access · bronzeAbstract read
In one paragraph

Article in Clinical breast cancer, 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
0.4field-weighted citation impact, top 33% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  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 at 3 institutions in 1 country.

Nikhita Kathuria-PrakashDepartment of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095.
Lauren AntrimDepartment of Medicine, USC Keck School of Medicine, Los Angeles, CA 90033.
Nicholas HornsteinDepartment of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095.
Alexander W SunUCLA David Geffen School of Medicine, Los Angeles, CA 90095.
Irene M KangDivision of Oncology, USC Keck School of Medicine, Norris Comprehensive Cancer Center, Los Angeles, CA 90033.
Nikita V BacligDivision of Hematology and Oncology, UCLA David Geffen School of Medicine, Los Angeles, CA 90095.
Trevor E AngellDivision of Endocrinology and Diabetes, USC Keck School of Medicine, Los Angeles, CA 90033.
Melissa G LechnerDivision of Endocrinology, Diabetes, and Metabolism, UCLA David Geffen School of Medicine, Los Angeles, CA 90095.
Noah Wald-DicklerDepartment of Medicine, USC Keck School of Medicine, Los Angeles, CA 90033; Division of Infectious Diseases, USC Keck School of Medicine, Los Angeles, CA 90033.
Gino K InDivision of Oncology, USC Keck School of Medicine, Norris Comprehensive Cancer Center, Los Angeles, CA 90033.
University of California, Los Angeles · USKeck Hospital of USC · USUSC Norris Comprehensive Cancer Center · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

backgroundThe SARS-CoV-2 virus has infected and killed millions of people worldwide. Breast cancer is the most prevalent cancer in women and few studies have investigated the outcomes of patients with a history of breast cancer and COVID-19. We report the clinical outcomes of patients with invasive breast cancer who tested positive for SARS-CoV-2, including hospitalization and death, and evaluate demographic and cancer-related factors associated with these outcomes. PATIENTS: Patients with a history of invasive breast cancer and positive SARS-CoV-2 test from January 1 to December 31, 2020 at two large, academic Los Angeles health systems were included.

methodsRetrospective chart review of the electronic medical record was performed. Data for demographic and cancer-related factors were manually abstracted. Relationships between outcomes and clinical variables were evaluated using Fisher's exact test and linear regression analysis.

resultsAmong a total of 132 patients, 40 (30.3%) were hospitalized, while 11 (8.3%) required intensive care support, and 8 patients (6.1%) died. Older age and presence of one or more additional comorbidities were associated with hospitalization and death (P = .010, P = .003, P = .034, P < .001). Hispanic/Latinx ethnicity was associated with hospitalization (P = .047). Cancer treatment was not associated with hospitalization or death.

conclusionIn our diverse, multi-center, breast cancer cohort, Hispanic/Latinx ethnicity, older age and presence of other comorbidities were associated with worse outcomes from COVID-19. Breast cancer treatment, including surgery, radiation, systemic therapy, and endocrine therapy, was not associated with hospitalization in our cohort. Further studies are needed to explore the relationship between breast cancer and COVID-19 outcomes.

Indexed as

Breast NeoplasmsCOVID-19Cohort StudiesFemaleHospitalizationHumansLos AngelesRetrospective StudiesSARS-CoV-2CoronavirusEndocrine therapyEthnicityPandemicRace

Identifiers

PMID35027318
PMCPMC8677421
OpenAlexW4200533510

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.