Evidence map›Paper›PMID 42560237›Full record

ArticleMilitary medicine2026

Overcoming Clinical Validation Challenges for an In Vitro Diagnostic Biodosimetry Test.

Kenneth S Damer, Chris L Smith, Ryan C Mahnke, Richard J Kowalski, William F Blakely, David L Bolduc, Ronald E Goans

Abstract read
In one paragraph

Article in Military medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kenneth S DamerASELL, LLC, Owings Mills, MD 21117, United States.ORCID 0009-0000-3283-784X
Chris L SmithASELL, LLC, Owings Mills, MD 21117, United States.
Ryan C MahnkeASELL, LLC, Owings Mills, MD 21117, United States.
Richard J KowalskiASELL, LLC, Owings Mills, MD 21117, United States.
William F BlakelyScientific Research Department, Armed Forces Radiobiology Research Institute (AFRRI), Uniformed Services University of the Health Sciences (USUHS), Bethesda, MD 20889-5648, United States.
David L BolducScientific Research Department, Armed Forces Radiobiology Research Institute (AFRRI), Uniformed Services University of the Health Sciences (USUHS), Bethesda, MD 20889-5648, United States.
Ronald E GoansMJW Corp, Clinton, TN 37716, United States.

Funding

Research and Development of a Hand-held, Rapid, Point-of-Care Radiation Biodosimetry Triage Device and Integration of Soluble and Cell-surface Radiation Injury Biomarker AssaysU01AI148316 · NIAID · ASELL, LLC · PI KOWALSKI, RICHARD JOSEPH · 2020 to 2024
$2.4M
Biomedical Advanced Research and Development Authority 75A50122C0050National Institute of Allergy and Infectious Diseases U01AI148316NIAID NIH HHS U01 AI148316
6 · The paper itself

Abstract

introductionIn the aftermath of a nuclear detonation or other mass-casualty radiological event, thousands to millions of people may be exposed to high levels of radiation. Effective triage tools are needed to identify those with potentially life-threatening exposure requiring emergency medical care. To ensure these tools will be available to support a mass-casualty radiation event, US Food and Drug Administration (FDA) authorization is required. However, currently, no FDA-authorized biodosimetry tests are available to support a mass-casualty radiological event, due largely to the significant challenges in developing regulatory strategies for biodosimetry tests. MATERIALS AND

methodsWe have developed a tool, called the CellRADx Software Application, to help address this mass-casualty triage need. CellRADx utilizes complete blood count (CBC) results from a single test, along with other inputs such as age and time post-exposure, to determine if an individual has absorbed more than 2 Gy of ionizing radiation. As part of the development of CellRADx, we have created a novel approach to facilitate the complete validation of the software device in compliance with FDA's medical device regulations. This novel approach employs a combination of real-world CBC data, an in silico radiation-induced cell depletion model, and nuclear event dose distribution models to validate clinical performance.

resultsPerformance of CellRADx across the general population has been demonstrated with high sensitivity (92%) and high specificity (78%). Additional subpopulations with potentially confounding conditions were also tested using this approach and have demonstrated similar performance results.

conclusionThe ability to validate a biodosimetry device using a method that can support FDA authorization is a key enabling development that will facilitate implementation of tools that can improve preparedness for a mass-casualty nuclear event and help save many lives.

Indexed as

Mass Casualty IncidentsRadiometrySoftwareTriageHumansUnited StatesUnited States Food and Drug Administration

Identifiers

PMID42560237
PMCPMC13445609

What OpenQuestion holds

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Registered trials

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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.