Evidence map›Paper›PMID 29193982›Full record

ArticleHealth security

Biodosimetry: A Future Tool for Medical Management of Radiological Emergencies.

Mary T Sproull, Kevin A Camphausen, Gregory D Koblentz

Abstract read
In one paragraph

Article in Health security. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Microfluidic Isolation of Aptamers for Intracellular Measurement of Radio-Responsive Proteins.Radiation (Multidisciplinary Digital Publishing Institute) · 2025
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  10. GScientific reports · 2024
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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.

Mary T Sproull
Kevin A Camphausen
Gregory D Koblentz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the threat of future radiological or nuclear events, there is a need to model and develop new medical countermeasures for managing large-scale population exposures to radiation. The field of radiation biodosimetry has advanced far beyond its original objectives to identify new methodologies to quantitate unknown levels of radiation exposure that may be applied in a mass screening setting. New research in the areas of genomics, proteomics, metabolomics, transcriptomics, and electron paramagnetic resonance (EPR) applications have identified novel biological indicators of radiation injury from a diverse array of biological sample materials, and studies continue to develop more advanced models of radiation exposure and injury. In this article, we identify the urgent need for new biodosimetry assessment technologies, describe how biodosimetry diagnostics work in the context of a broad range of radiation exposure types and scenarios, review the current state of the science, and assess how well integrated biodosimetry resources are in the national radiological emergency response framework.

Indexed as

Mass Casualty IncidentsCytogenetic AnalysisElectron Spin Resonance SpectroscopyEmergenciesGene Expression ProfilingGenomicsHumansLymphocytesMetabolomicsProteomicsRadiation ExposureRadioactive Hazard ReleaseRadiometryBiodefense R&DCountermeasuresDiagnosticsMass casualty careMass casualty radiation exposurePublic health preparedness/response

Identifiers

PMID29193982
PMCPMC5734138

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.