Evidence map›Paper›PMID 33562730›Full record

ArticleMolecules (Basel, Switzerland)2021

A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality.

Spyridon A Kalospyros, Zacharenia Nikitaki, Ioanna Kyriakou, Michael Kokkoris, Dimitris Emfietzoglou, Alexandros G Georgakilas

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Spyridon A KalospyrosPhysics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), 15780 Zografou, Greece.
Zacharenia NikitakiPhysics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), 15780 Zografou, Greece.ORCID 0000-0003-4168-7737
Ioanna KyriakouMedical Physics Lab, Department of Medicine, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0003-2105-4078
Michael KokkorisPhysics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), 15780 Zografou, Greece.
Dimitris EmfietzoglouMedical Physics Lab, Department of Medicine, University of Ioannina, 45110 Ioannina, Greece.
Alexandros G GeorgakilasPhysics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), 15780 Zografou, Greece.ORCID 0000-0002-5971-0010
National Technical University of Athens · GRUniversity of Ioannina · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting radiobiological effects is important in different areas of basic or clinical applications using ionizing radiation (IR); for example, towards optimizing radiation protection or radiation therapy protocols. In this case, we utilized as a basis the 'MultiScale Approach (MSA)' model and developed an integrated mathematical radiobiological model (MRM) with several modifications and improvements. Based on this new adaptation of the MSA model, we have predicted cell-specific levels of initial complex DNA damage and cell survival for irradiation with

Indexed as

DNA DamageModels, BiologicalRadiobiologyCell Survivalcell survivalcomplex DNA damagehigh-LETmathematical radiobiological model (MRM)relative biological effectiveness (RBE)

Identifiers

PMID33562730
PMCPMC7914858
OpenAlexW3129152762

What OpenQuestion holds

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LicenceCC BY
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.