Evidence map›Paper›PMID 34714907›Full record

ArticleRadiation research2022

A Trans-Agency Workshop on the Pathophysiology of Radiation-Induced Lung Injury.

Merriline M Satyamitra, David R Cassatt, Libero Marzella

Abstract read
In one paragraph

Article in Radiation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Merriline M SatyamitraRadiation 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, Maryland.
David R CassattRadiation 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, Maryland.
Libero MarzellaDivision of Imaging and Radiation Medicine, Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA), Silver Spring, Maryland.

Funding

Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

As of January 2021, the U.S. Food and Drug Administration has approved four radiation exposure medical countermeasures (MCMs) to treat hematological acute effects, but no MCM is yet approved for radiation-induced lung injury (RILI). MCM approval for RILI and other subsyndromes utilizes the FDA Animal Efficacy Rule (Animal Rule), that requires demonstration of MCM efficacy in animal models with well-characterized pathophysiology, therefore, allowing translation to human use. A good animal model replicates the clinical condition and natural history of the disease, while allowing for studying the mechanism of action of the applied MCM and exhibiting clear benefits in terms of primary and secondary endpoints. However, there is much conversation regarding the advantages and limitations of individual models, and how to properly apply these models to demonstrate MCM efficacy. On March 20, 2019, the Radiation and Nuclear Countermeasures Program (RNCP) within the National Institute of Allergy and Infectious Diseases (NIAID), Food and Drug Administration (FDA), and the Biomedical Advanced Research and Development Authority (BARDA) sponsored a workshop to identify critical research gaps, discuss current clinical practices for different types of pulmonary diseases, and consider available animal models for RILI.

Indexed as

Lung InjuryRadiation InjuriesAnimalsDisease Models, AnimalLungNational Institute of Allergy and Infectious Diseases (U.S.)United States

Identifiers

PMID34714907
PMCPMC9063325

What OpenQuestion holds

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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.