Evidence map›Paper›PMID 33211576›Full record

ReviewInternational journal of radiation biology2021

Adverse outcome pathways, key events, and radiation risk assessment.

R Julian Preston, Werner Rühm, Edouard I Azzam, John D Boice, Simon Bouffler, Kathryn D Held, Mark P Little, Roy E Shore, Igor Shuryak, Michael M Weil

Open access · greenAbstract readReview
In one paragraph

Review in International journal of radiation biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Areas of research to support the system of radiological protection.Radiation and environmental biophysics · 2021
    Review
  8. Article
  9. 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

10 authors at 9 institutions in 3 countries.

R Julian PrestonOffice of Air and Radiation, Radiation Protection Division, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.ORCID 0000-0001-5454-0588
Werner RühmInstitute of Radiation Medicine, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH) Ingolstaedter, Neuherberg, Germany.ORCID 0000-0002-6354-7359
Edouard I AzzamDepartment of Radiology, Rutgers Biomedical and Health Sciences, New Jersey Medical School, Newark, NJ, USA.ORCID 0000-0002-8968-1142
John D BoiceNational Council on Radiation Protection and Measurement, Bethesda, MD, USA.ORCID 0000-0002-8755-1299
Simon BoufflerRadiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Oxfordshire, UK.ORCID 0000-0003-1883-919X
Kathryn D HeldNational Council on Radiation Protection and Measurements, Bethesda, MD, USA.ORCID 0000-0003-0918-294X
Mark P LittleRadiation Epidemiology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-0980-7567
Roy E ShoreDepartment of Population Health, New York University School of Medicine, New York, NY, USA.ORCID 0000-0002-6842-2248
Igor ShuryakCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0001-9314-5708
Michael M WeilDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.ORCID 0000-0002-9656-2475
National Council on Radiation Protection and Measurements · USColorado State University · USColumbia University Irving Medical Center · USEnvironmental Protection Agency · USHelmholtz Zentrum München · DENational Institutes of Health · USNew York University · USPublic Health England · GBRutgers, The State University of New Jersey · US

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
Multidisciplinary Studies of LymphomaZIACP010170 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$10.7M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA CP010170
6 · The paper itself

Abstract

The overall aim of this contribution to the 'Second Bill Morgan Memorial Special Issue' is to provide a high-level review of a recent report developed by a Committee for the National Council on Radiation Protection and Measurements (NCRP) titled 'Approaches for Integrating Information from Radiation Biology and Epidemiology to Enhance Low-Dose Health Risk Assessment'. It derives from previous NCRP Reports and Commentaries that provide the case for integrating data from radiation biology studies (available and proposed) with epidemiological studies (also available and proposed) to develop Biologically-Based Dose-Response (BBDR) models. In this review, it is proposed for such models to leverage the adverse outcome pathways (AOP) and key events (KE) approach for better characterizing radiation-induced cancers and circulatory disease (as the example for a noncancer outcome). The review discusses the current state of knowledge of mechanisms of carcinogenesis, with an emphasis on radiation-induced cancers, and a similar discussion for circulatory disease. The types of the various informative BBDR models are presented along with a proposed generalized BBDR model for cancer and a more speculative one for circulatory disease. The way forward is presented in a comprehensive discussion of the research needs to address the goal of enhancing health risk assessment of exposures to low doses of radiation. The use of an AOP/KE approach for developing a mechanistic framework for BBDR models of radiation-induced cancer and circulatory disease is considered to be a viable one based upon current knowledge of the mechanisms of formation of these adverse health outcomes and the available technical capabilities and computational advances. The way forward for enhancing low-dose radiation risk estimates will require there to be a tight integration of epidemiology data and radiation biology information to meet the goals of relevance and sensitivity of the adverse health outcomes required for overall health risk assessment at low doses and dose rates.

Indexed as

Adverse Outcome PathwaysNeoplasms, Radiation-InducedAnimalsCardiovascular DiseasesDose-Response Relationship, RadiationHumansModels, BiologicalRisk AssessmentAdverse outcome pathwayscancercirculatory diseasekey eventsradiation risk assessment

Identifiers

PMID33211576
PMCPMC10666972
OpenAlexW3101136638

What OpenQuestion holds

Textmetadata
LicenceTDM
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.