Evidence map›Paper›PMID 20065671›Full record

ArticleHealth physics2010

A critical assessment of biodosimetry methods for large-scale incidents.

Harold M Swartz, Ann Barry Flood, Robert M Gougelet, Michael E Rea, Roberto J Nicolalde, Benjamin B Williams

Abstract read
In one paragraph

Article in Health physics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
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  6. Establishment ofHeliyon · 2023
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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

6 authors.

Harold M SwartzThe EPR Center for Viable Systems, Dartmouth Medical School, Hanover, NH 03755, USA. Harold.M.Swartz@dartmouth.edu
Ann Barry Flood
Robert M Gougelet
Michael E Rea
Roberto J Nicolalde
Benjamin B Williams

Funding

Pulmonary response to external and internal exposure: model for dispersion eventU19AI067733 · NIAID · UNIVERSITY OF ROCHESTER · PI OKUNIEFF, PAUL · 2005 to 2009
$20.8M
Scientific and Administrative Core: Dartmouth Medical SchoolU19AI091173 · NIAID · DARTMOUTH COLLEGE · PI SWARTS, STEVEN GREGORY · 2010 to 2014
$16.3M
NIAID NIH HHS U19 AI067733NIAID NIH HHS U19AI067733NIAID NIH HHS U19 AI091173
6 · The paper itself

Abstract

Recognition is growing regarding the possibility that terrorism or large-scale accidents could result in potential radiation exposure of hundreds of thousands of people and that the present guidelines for evaluation after such an event are seriously deficient. Therefore, there is a great and urgent need for after-the-fact biodosimetric methods to estimate radiation dose. To accomplish this goal, the dose estimates must be at the individual level, timely, accurate, and plausibly obtained in large-scale disasters. This paper evaluates current biodosimetry methods, focusing on their strengths and weaknesses in estimating human radiation exposure in large-scale disasters at three stages. First, the authors evaluate biodosimetry's ability to determine which individuals did not receive a significant exposure so they can be removed from the acute response system. Second, biodosimetry's capacity to classify those initially assessed as needing further evaluation into treatment-level categories is assessed. Third, we review biodosimetry's ability to guide treatment, both short- and long-term, is reviewed. The authors compare biodosimetric methods that are based on physical vs. biological parameters and evaluate the features of current dosimeters (capacity, speed and ease of getting information, and accuracy) to determine which are most useful in meeting patients' needs at each of the different stages. Results indicate that the biodosimetry methods differ in their applicability to the three different stages, and that combining physical and biological techniques may sometimes be most effective. In conclusion, biodosimetry techniques have different properties, and knowledge of their properties for meeting the different needs for different stages will result in their most effective use in a nuclear disaster mass-casualty event.

Indexed as

Body BurdenRadioactive Hazard ReleaseBiological AssayHumansRisk AssessmentSensitivity and SpecificityTechnology Assessment, BiomedicalWhole-Body Counting

Identifiers

PMID20065671
PMCPMC4086260

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.