Evidence map›Paper›PMID 34854794›Full record

ArticleInternational journal of radiation biology2021

Interagency approaches to animal models for acute radiation exposure.

Kasandra S Hunter, Lisa S Carnell, Andrea L DiCarlo, Corey M Hoffman, Shannon G Loelius, Mary Homer

Open access · greenAbstract read
In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Cell Therapies for Acute Radiation Syndrome.International journal of molecular sciences · 2024
    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

6 authors at 3 institutions in 1 country.

Kasandra S HunterBiomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response (ASPR), US Department of Health and Human Services (HHS), Washington, DC, USA.
Lisa S CarnellBiological and Physical Sciences Division, NASA Headquarters, Washington, DC, USA.
Andrea L DiCarloRadiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology, and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Rockville, MD, USA.
Corey M HoffmanBiomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response (ASPR), US Department of Health and Human Services (HHS), Washington, DC, USA.
Shannon G LoeliusBiomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response (ASPR), US Department of Health and Human Services (HHS), Washington, DC, USA.
Mary HomerBiomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response (ASPR), US Department of Health and Human Services (HHS), Washington, DC, USA.
Biomedical Advanced Research and Development Authority · USNational Institutes of Health · USPhysical Sciences (United States) · US

Funding

Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

Ionizing radiation can cause devastating injuries including hemorrhage, immune suppression, increased susceptibility to infection, and death. Medical countermeasures (MCMs) that address and mitigate radiation-induced injuries are the most important tools for countering the consequences of radiation exposure. Likewise, in matters of public health security, the development and advancement of radiological MCMs are fundamental for establishing an effective response to radiological and nuclear threats. United States Government agencies such as the Biomedical Advanced Research and Development Authority (BARDA), the National Institute of Allergy and Infectious Diseases (NIAID), and the National Aeronautics and Space Administration (NASA) have dedicated significant efforts to advance the development of MCMs to treat radiation injury and facilitate their introduction into the public sphere. Due to the severe nature of radiation injuries, clinical trials are unethical. Therefore, nonclinical models that accurately replicate clinical manifestations of ionizing radiation injury observed in humans are essential to MCM advancement. The most frequently used nonclinical models of radiation injury are rodents and non-human primates (NHPs). These species reproduce many aspects of human disease caused by ionizing radiation and have been pivotal for the development and licensure of radiological MCMs. Despite these successes, model drawbacks have prompted the exploration and development of additional nonclinical models. Minipigs and rabbits show promise as acceptable models of radiation injury and demonstrate the potential to contribute significantly to MCM advancement. This collection of research showcases the capabilities of minipigs and rabbits in mirroring clinically relevant aspects of radiation-induced disease and documents the potential value these models may hold for radiological and nuclear MCM research. Together, these government-funded studies represent advances in radiological MCM development that can facilitate the emergence of cutting-edge technologies.

Indexed as

Acute Radiation SyndromeMedical CountermeasuresRadiation InjuriesAnimalsModels, AnimalNational Institute of Allergy and Infectious Diseases (U.S.)RabbitsSwineSwine, MiniatureUnited StatesARSCountermeasureMCMNonclinicalRadiation

Identifiers

PMID34854794
PMCPMC8771920
OpenAlexW3215208790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.