Evidence map›Paper›PMID 42646941›Full record

ReviewToxics2026

Baseline Frequency of Chromosomal Aberrations in Control Donors: A Significant Value for Population Monitoring During the Development of the Nuclear Energy Industry-Polish Dataset.

Sylwester Sommer, Iwona Buraczewska, Anna Korzeniowska-Sobczuk, Katarzyna Sikorska

Abstract readReview
In one paragraph

Review in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sylwester SommerInstitute of Nuclear Chemistry and Technology, 03-195 Warsaw, Poland.
Iwona BuraczewskaInstitute of Nuclear Chemistry and Technology, 03-195 Warsaw, Poland.
Anna Korzeniowska-SobczukInstitute of Nuclear Chemistry and Technology, 03-195 Warsaw, Poland.
Katarzyna SikorskaInstitute of Nuclear Chemistry and Technology, 03-195 Warsaw, Poland.ORCID 0000-0001-8480-7722

Funding

Ministry of Science and Higher Education
6 · The paper itself

Abstract

Due to the advanced plans for the development of nuclear power plants in Poland, those who are to live around nuclear facilities may have unjustified doubts about their own radiation safety. Moreover, when future power plant workers will be potentially exposed to low, cumulative doses of ionizing radiation, it seems important to develop cytogenetic methods for showing the actual genotoxic effects of environmental or occupational nuclear influences. The method of analyzing the frequency of chromosomal type aberrations in peripheral blood lymphocytes remains one of the most significant possibilities in achieving this goal. Three techniques are used to monitor aberration frequency, i.e., most commonly, Giemsa staining (FPG), FISH, or M-FISH. The types of aberrations determined by Giemsa-staining preparation will be described in detail, and issues with the nomenclature of these aberrations will be discussed. To effectively explore small changes in aberration yields, studies of aberration rates in non-exposed populations are needed. Such a dataset has been generated at the Institute of Nuclear Chemistry and Technology (INCT), Warsaw, Poland. This database would allow for the assessment of the genotoxic impact of planned nuclear facilities, the impact of radon in areas within its increased concentration, or the impact of such a working environment on, for example, medical workers working with radiation.

Indexed as

background level of chromosomal aberrationschromosomal and chromatid type aberration nomenclaturegenotoxic effect of ionizing radiationionizing radiation exposurenuclear industry

Identifiers

PMID42646941
PMCPMC13517460

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.