Evidence map›Paper›PMID 31415222›Full record

SynthesisRadiation research2019

Meta-analysis of Cognitive Performance by Novel Object Recognition after Proton and Heavy Ion Exposures.

Eliedonna Cacao, Francis A Cucinotta

Abstract readMeta-Analysis
In one paragraph

Synthesis in Radiation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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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

2 authors.

Eliedonna CacaoDepartment of Health Physics and Diagnostic Sciences, University of Nevada, Las Vegas, Nevada.
Francis A CucinottaDepartment of Health Physics and Diagnostic Sciences, University of Nevada, Las Vegas, Nevada.

Funding

(9) Biophysical Description of Age and Dose Dependent Changes to Dendritic Morphology that Impact Cognition following Radiation Cancer TherapyR01CA208526 · NCI · UNIVERSITY OF NEVADA LAS VEGAS · PI CUCINOTTA, FRANCIS A · 2016 to 2020
$2.4M
NCI NIH HHS R01 CA208526
6 · The paper itself

Abstract

Experimental studies of cognitive detriments in mice and rats after proton and heavy ion exposures have been performed by several laboratories to investigate possible risks to astronauts exposed to cosmic rays in space travel and patients treated for brain cancers with proton and carbon beams in Hadron therapy. However, distinct radiation types and doses, cognitive tests and rodent models have been used by different laboratories, while few studies have considered detailed dose-response characterizations, including estimates of relative biological effectiveness (RBE). Here we report on the first quantitative meta-analysis of the dose response for proton and heavy ion rodent studies of the widely used novel object recognition (NOR) test, which estimates detriments in recognition or object memory. Our study reveals that linear or linear-quadratic dose-response models of relative risk (RR) do not provide accurate descriptions. However, good descriptions for doses up to 1 Gy are provided by exponentially increasing fluence or dose-response models observed with an LET dependence similar to a classical radiation quality response, which peaks near 100-120 keV/µm and declines at higher LET values. Exponential models provide accurate predictions of experimental results for NOR in mice after mixed-beam exposures of protons and

Indexed as

Heavy IonsProtonsAnimalsCognitionDose-Response Relationship, RadiationFemaleIonsMaleMiceMice, Inbred C57BLModels, AnimalPattern Recognition, VisualRatsRelative Biological EffectivenessRiskIonsProtons

Identifiers

PMID31415222
PMCPMC6956595

What OpenQuestion holds

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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.