Evidence map›Paper›PMID 37721073›Full record

ArticleRadiation protection dosimetry2023

Sex and dose rate effects in automated cytogenetics.

Guy Garty, Ekaterina Royba, Mikhail Repin, Igor Shuryak, Naresh Deoli, Razib Obaid, Helen C Turner, David J Brenner

Abstract read
In one paragraph

Article in Radiation protection dosimetry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

8 authors.

Guy GartyRadiological Research Accelerator Facility, Columbia University, Irvington, NY 10027, USA.ORCID 0000-0001-5683-7318
Ekaterina RoybaCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.
Mikhail RepinCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.
Igor ShuryakCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0001-9314-5708
Naresh DeoliCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.
Razib ObaidCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.
Helen C TurnerCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.
David J BrennerCenter for Radiological Research, Columbia University Irving Medical Center, New York, NY 10032, USA.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
NIAID NIH HHS HHSN272201600040CNIAID NIH HHS U19 AI067773NIH HHS
6 · The paper itself

Abstract

Testing and validation of biodosimetry assays is routinely performed using conventional dose rate irradiation platforms, at a dose rate of approximately 1 Gy/min. In contrast, the exposures from an improvised nuclear device will be delivered over a large range of dose rates with a prompt irradiation component, delivered in less than 1 μs, and a protracted component delivered over hours and days. We present preliminary data from a large demographic study we have undertaken for investigation of age, sex and dose rate effects on dicentric and micronucleus yields. Our data demonstrate reduced dicentric and micronucleus yields at very high dose rates. Additionally, we have seen small differences between males and females, with males having slightly fewer micronuclei and slightly more dicentrics than females, at high doses.

Indexed as

Biological AssayCell NucleusCytogenetic AnalysisCytogeneticsFemaleHumansMale

Identifiers

PMID37721073
PMCPMC10505938

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.