Evidence map›Paper›PMID 36183931›Full record

ArticleInternational journal of radiation oncology, biology, physics2023

Defining Radiation Treatment Interruption Rates During the COVID-19 Pandemic: Findings From an Academic Center in an Underserved Urban Setting.

Elizabeth Gaudio, Nariman Ammar, Fatma Gunturkun, Cem Akkus, Whitney Brakefield, Daniel V Wakefield, Maria Pisu, Robert Davis, Arash Shaban-Nejad, David L Schwartz

Open access · bronzeAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Managing unplanned radiotherapy interruptions in Italy: results from an AIRO survey.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Review
  5. Article
  6. 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 4 institutions in 1 country.

Elizabeth GaudioDepartment of Radiation Oncology, UTHSC College of Medicine, Memphis, Tennessee.
Nariman AmmarUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, UTHSC College of Medicine, Memphis, Tennessee; Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, Tennessee.
Fatma GunturkunUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, UTHSC College of Medicine, Memphis, Tennessee; Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, Tennessee.
Cem AkkusUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, UTHSC College of Medicine, Memphis, Tennessee; Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, Tennessee.
Whitney BrakefieldUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, UTHSC College of Medicine, Memphis, Tennessee; Bredesen Center for Data Science and Engineering, University of Tennessee, Knoxville, Tennessee.
Daniel V WakefieldDepartment of Radiation Oncology, UTHSC College of Medicine, Memphis, Tennessee; Tennessee Oncology, Nashville, Tennessee.
Maria PisuDivision of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Robert DavisUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, UTHSC College of Medicine, Memphis, Tennessee; Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, Tennessee.
Arash Shaban-NejadUTHSC-ORNL Center for Biomedical Informatics, Department of Pediatrics, UTHSC College of Medicine, Memphis, Tennessee; Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, Tennessee.
David L SchwartzDepartment of Radiation Oncology, UTHSC College of Medicine, Memphis, Tennessee; Department of Preventive Medicine, UTHSC College of Medicine, Memphis, Tennessee. Electronic address: dschwar4@uthsc.edu.
University of Tennessee Health Science Center · USLe Bonheur Children's Hospital · USTennessee Oncology · USUniversity of Alabama at Birmingham · US

Funding

Recruitment and Biostatistics (R & B) SRC Core Co-Leads: Pisu and OsterP01CA229997 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARIA PISU · 2018 to 2026
$17.1M
Designing a Plan of Action for Better Access and Quality of Surgery for African-Americans with Gastrointestinal Cancers in the Deep SouthR01MD013858 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CHU, DANIEL I, PISU, MARIA · 2020 to 2024
$3.0M
Emotional Well-Being and Economic Burden Research NetworkU24AT011310 · NCCIH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARTIN, MICHELLE Y, PISU, MARIA · 2021 to 2024
$2.4M
NCCIH NIH HHS U24 AT011310NCI NIH HHS P01 CA229997NIMHD NIH HHS R01 MD013858
6 · The paper itself

Abstract

purposeOur purpose was to characterize radiation treatment interruption (RTI) rates and their potential association with sociodemographic variables in an urban population before and during the COVID-19 pandemic. METHODS AND MATERIALS: Electronic health records were retrospectively reviewed for patients treated between January 1, 2015, and February 28, 2021. Major and minor RTI were defined as ≥5 and 2 to 4 unplanned cancellations, respectively. RTI was compared across demographic and clinical factors and whether treatment started before or after COVID-19 onset (March 15, 2020) using multivariate logistic regression analysis.

resultsOf 2,240 study cohort patients, 1,938 started treatment before COVID-19 and 302 started after. Patient census fell 36% over the year after COVID-19 onset. RTI rates remained stable or trended downward, although subtle shifts in association with social and treatment factors were observed on univariate and multivariate analysis. Interaction of treatment timing with risk factors was modest and limited to treatment length and minor RTI. Despite the stability of cohort-level findings showing limited associations with race, geospatial mapping demonstrated a discrete geographic shift in elevated RTI toward Black, underinsured patients living in inner urban communities. Affected neighborhoods could not be predicted quantitatively by local COVID-19 transmission activity or social vulnerability indices.

conclusionsThis is the first United States institutional report to describe radiation therapy referral volume and interruption patterns during the year after pandemic onset. Patient referral volumes did not fully recover from an initial steep decline, but local RTI rates and associated risk factors remained mostly stable. Geospatial mapping suggested migration of RTI risk toward marginalized, minority-majority urban ZIP codes, which could not otherwise be predicted by neighborhood-level social vulnerability or pandemic activity. These findings signal that detailed localization of highest-risk communities could help focus radiation therapy access improvement strategies during and after public health emergencies. However, this will require replication to validate and broaden relevance to other settings.

Indexed as

COVID-19HumansMinority GroupsMultivariate AnalysisPandemicsRetrospective StudiesUnited States

Identifiers

PMID36183931
PMCPMC9584778
OpenAlexW4297989557

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.