Evidence map›Paper›PMID 32798063›Full record

SynthesisInternational journal of radiation oncology, biology, physics2020

Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development.

David J Thomson, Sue S Yom, Hina Saeed, Issam El Naqa, Leslie Ballas, Soren M Bentzen, Samuel T Chao, Ananya Choudhury, Charlotte E Coles, Laura Dover and 13 more

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of radiation oncology, biology, physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Faculty of Radiation Oncology 2022 New Zealand Workforce Census.Journal of medical imaging and radiation oncology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Faculty of Radiation Oncology 2022 Workforce Census.Journal of medical imaging and radiation oncology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Nursing Care for Metastatic Bone Cancer: Trends for the Future.International journal of environmental research and public health · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. When Less is More: The Rising Tide of Hypofractionation.Clinical oncology (Royal College of Radiologists (Great Britain)) · 2022
    Article
  20. Review
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

23 authors.

David J ThomsonDepartment of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Sue S YomDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California. Electronic address: sue.yom@ucsf.edu.
Hina SaeedDepartment of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Issam El NaqaDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Leslie BallasDepartment of Radiation Oncology, University of Southern California, Los Angeles, California.
Soren M BentzenDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland.
Samuel T ChaoDepartment of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio.
Ananya ChoudhuryDepartment of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Charlotte E ColesDepartment of Oncology, University of Cambridge, Cambridge, United Kingdom.
Laura DoverDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
B Ashleigh GuadagnoloUniversity of Texas MD Anderson Cancer Center, Houston, Texas.
Matthias GuckenbergerDepartment of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Peter HoskinDivision of Cancer Sciences, University of Manchester, Manchester, United Kingdom; Mount Vernon Cancer Centre, Northwood, and University of Manchester, Manchester, United Kingdom.
Salma K JabbourDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey.
Matthew S KatzDepartment of Radiation Medicine, Lowell General Hospital, Lowell, Massachusetts.
Somnath MukherjeeDepartment of Oncology, Oxford University, Oxford, United Kingdom.
Agata RembielakDepartment of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
David Sebag-MontefioreLeeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom.
David J SherDepartment of Radiation Oncology, University of Texas - Southwestern, Dallas, Texas.
Stephanie A TerezakisDepartment of Radiation Oncology, University of Minnesota, Minneapolis, Minnesota.
Toms V ThomasDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi.
Jennifer VogelDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.
Christopher EstesMercy Hospital, Springfield, Missouri.

Funding

Optimal Decision Making in Radiotherapy Using Panomics AnalyticsR01CA233487 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EL NAQA, ISSAM M. · 2019 to 2023
$2.4M
Cancer Research UK 25447Cancer Research UK 28832Department of Health NIHR300024NCI NIH HHS R01 CA233487
6 · The paper itself

Abstract

purposeNumerous publications during the COVID-19 pandemic recommended the use of hypofractionated radiation therapy. This project assessed aggregate changes in the quality of the evidence supporting these schedules to establish a comprehensive evidence base for future reference and highlight aspects for future study. METHODS AND MATERIALS: Based on a systematic review of published recommendations related to dose fractionation during the COVID-19 pandemic, 20 expert panelists assigned to 14 disease groups named and graded the highest quality of evidence schedule(s) used routinely for each condition and also graded all COVID-era recommended schedules. The American Society for Radiation Oncology quality of evidence criteria were used to rank the schedules. Process-related statistics and changes in distributions of quality ratings of the highest-rated versus recommended COVID-19 era schedules were described by disease groups and for specific clinical scenarios.

resultsFrom January to May 2020 there were 54 relevant publications, including 233 recommended COVID-19-adapted dose fractionations. For site-specific curative and site-specific palliative schedules, there was a significant shift from established higher-quality evidence to lower-quality evidence and expert opinions for the recommended schedules (P = .022 and P < .001, respectively). For curative-intent schedules, the distribution of quality scores was essentially reversed (highest levels of evidence "pre-COVID" vs "in-COVID": high quality, 51.4% vs 4.8%; expert opinion, 5.6% vs 49.3%), although there was variation in the magnitude of shifts between disease sites and among specific indications.

conclusionsA large number of publications recommended hypofractionated radiation therapy schedules across numerous major disease sites during the COVID-19 pandemic, which were supported by a lower quality of evidence than the highest-quality routinely used dose fractionation schedules. This work provides an evidence-based assessment of these potentially practice-changing recommendations and informs individualized decision-making and counseling of patients. These data could also be used to support radiation therapy practices in the event of second waves or surges of the pandemic in new regions of the world.

Indexed as

Dose Fractionation, RadiationPandemicsPublicationsCoronavirus InfectionsCOVID-19Evidence-Based MedicineHumansPneumonia, Viral

Identifiers

PMID32798063
PMCPMC7834196

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.