Evidence map›Paper›PMID 33880464›Full record

ArticleResearch square2021

Medical Care Disruptions During the First Six-Months of the COVID19 Pandemic: The Experience of Older Breast Cancer Survivors.

A Dilawari, K E Rentscher, W Zhai, X Zhou, T A Ahles, J Ahn, T N Bethea, J E Carroll, H J Cohen, D A Graham and 11 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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
–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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Navigating rural challenges and promoting posttraumatic growth via expressive writing: a qualitative study among rural breast cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 12 institutions in 1 country.

A DilawariMedstar Washington Hospital Center Washington, DC.
K E RentscherCousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA.
W ZhaiLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
X ZhouLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
T A AhlesMemorial Sloan Kettering Cancer Center, New York, NY.
J AhnCousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA.
T N BetheaLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
J E CarrollSemel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA.
H J CohenCenter for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC.
D A GrahamJohn Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ.
Hsl JimMoffitt Cancer Center, Tampa, FL.
B McDonaldDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN.
Z M NakamuraDepartment of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC.
S K PatelCity of Hope National Medical Center, Los Angeles, CA.
J C RootMemorial Sloan Kettering Cancer Center, New York, NY.
B J SmallUniversity of South Florida, Tampa, FL.
A J SaykinDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN.
D TometichMoffitt Cancer Center, Tampa, FL.
K Van DykDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC.
J S MandelblattLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
Thinking and Living with Cancer Study
University of California, Los Angeles · USGeorgetown Lombardi Comprehensive Cancer CenterGeorgetown University · USMemorial Sloan Kettering Cancer Center · USMoffitt Cancer Center · USUniversity School · USCity of Hope · USDuke University · USHackensack University Medical Center · USUniversity of North Carolina at Chapel Hill · USUniversity of South Florida · USWashington Hospital · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
UNC BIRCWH CAREER DEVELOPMENT PROGRAMK12HD001441 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOGGESS, KIM A · 2000 to 2019
$9.3M
OLDER BREAST CANCER PATIENTS: RISK FOR COGNITIVE DECLINER01CA129769 · NCI · GEORGETOWN UNIVERSITY · PI AHLES, TIM ALAN, MANDELBLATT, JEANNE · 2009 to 2020
$7.3M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Cognition In Older Breast Cancer Survivors: Treatment Exposure, APOE, & SmokingR01CA172119 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI AHLES, TIM ALAN, HURRIA, ARTI · 2013 to 2017
$3.5M
Cognitive Aging, Alzheimers disease, and Cancer-related Cognitive DeclineR01AG068193 · NIA · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE, SAYKIN, ANDREW J · 2020 to 2023
$2.8M
Accelerated biological aging in breast cancer and risk for cognitive and physical complaintsR01CA237535 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOWER, JULIENNE E, CARROLL, JUDITH E · 2020 to 2023
$2.1M
Brain Health in Breast Cancer Survivors: Interaction of Menopause and Endocrine TherapyK08CA241337 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VAN DYK, KATHLEEN · 2019 to 2023
$925k
NCI NIH HHS K01 CA212056NCI NIH HHS K08 CA241337NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA129769NCI NIH HHS R01 CA172119NCI NIH HHS R01 CA237535NCI NIH HHS R35 CA197289NIA NIH HHS K01 AG065485NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG028716NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG068193NICHD NIH HHS K12 HD001441
6 · The paper itself

Abstract

PurposeOlder cancer survivors required medical care during the COVID-19 pandemic despite infection risks, but there are limited data on medical care in this age group.

methodsWe evaluated care disruptions in a longitudinal cohort of non-metastatic breast cancer survivors ages 60-98 from five US regions (n=321). Survivors completed a web-based or telephone survey from May 27, 2020 to September 11, 2020. Care disruptions included self-reported interruptions in ability to see doctors, receive treatment or supportive therapies, or fill prescriptions. Logistic regression models evaluated bivariate and multivariate associations between care disruptions and education, medical, psychosocial and COVID-19-related factors. Multivariate models included age, county COVID-19 rates, comorbidity and post-diagnosis time.

resultsThere was a high response rate (n=262, 81.6%). Survivors were 32.2 months post-diagnosis (SD 17.5, range 4-73). Nearly half (48%) reported a medical disruption. The unadjusted odds of care disruptions were significantly higher with more education (OR 1.23 per one-year increase, 95% CI 1.09-1.39, p =0.001) and greater depression (OR 1.04 per one-point increase in CES-D score, CI 1.003-1.08, p=0.033); tangible support decreased the odds of disruptions (OR 0.99, 95% CI 0.97-0.99 per one-point increase, p=0.012). There was a trend for associations between disruptions and comorbidity (unadjusted OR 1.13 per 1 added comorbidity, 95% CI 0.99-1.29, p=0.07). Adjusting for covariates, only higher education (p=0.001) and tangible social support (p=0.006) remained significantly associated with having care disruptions.

conclusionsOlder breast cancer survivors reported high rates of medical care disruptions during the COVID-19 pandemic and psychosocial factors were associated with care disruptions.

Identifiers

PMID33880464
PMCPMC8057243
OpenAlexW3156381796

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.