Evidence map›Paper›PMID 24366315›Full record

ReviewJournal of radiation research2014

Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors.

Masao S Sasaki, Akira Tachibana, Shunichi Takeda

Abstract readReview
In one paragraph

Review in Journal of radiation research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Ionizing radiation exposure: hazards, prevention, and biomarker screening.Environmental science and pollution research international · 2018
    Article
  6. Article
  7. Radiobiology in Cardiovascular Imaging.JACC. Cardiovascular imaging · 2016
    Review
  8. Article
  9. Review
  10. A message to Fukushima: nothing to fear but fear itself.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2016
    Article
  11. Article
  12. Remedy for radiation fear - discard the politicized science.Dose-response : a publication of International Hormesis Society · 2014
    Article
  13. Article
  14. Review
  15. The Scoliosis Quandary: Are Radiation Exposures From Repeated X-Rays Harmful?Dose-response : a publication of International Hormesis Society
    Article
  16. Article
  17. Death of the ALARA Radiation Protection Principle as Used in the Medical Sector.Dose-response : a publication of International Hormesis Society
    Article
  18. Article
  19. It Is Time to Move Beyond the Linear No-Threshold Theory for Low-Dose Radiation Protection.Dose-response : a publication of International Hormesis Society
    Article
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

3 authors.

Masao S SasakiKyoto University, 17-12 Shironosato, Nagaokakyo-shi, Kyoto 617-0835, Japan.
Akira Tachibana
Shunichi Takeda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the 'integrate-and-fire' algorithm of artificial neural networks was developed and tested in cancer databases established by the Radiation Effects Research Foundation. The analysis revealed unique features at low doses that could not be accounted for by nominal exposure dose, including (i) the presence of a threshold that varied with organ, gender and age at exposure, and (ii) a small but significant bumping increase in cancer risk at low doses in Nagasaki that probably reflects internal exposure to (239)Pu. The threshold was distinct from the canonical definition of zero effect in that it was manifested as negative excess relative risk, or suppression of background cancer rates. Such a unique tissue response at low doses of radiation exposure has been implicated in the context of the molecular basis of radiation-environment interplay in favor of recently emerging experimental evidence on DNA double-strand break repair pathway choice and its epigenetic memory by histone marking.

Indexed as

Models, StatisticalNeural Networks, ComputerNuclear WeaponsAge DistributionComputer SimulationData Interpretation, StatisticalEnvironmental ExposureHumansJapanNeoplasms, Radiation-InducedPrognosisProportional Hazards ModelsRadiation DosageRadiometryReproducibility of ResultsRisk AssessmentA-bomb survivorsartificial neural networkscancer riskDSB repair pathway choiceintegrate-and-fire modellow-dose radiation

Identifiers

PMID24366315
PMCPMC4014156

What OpenQuestion holds

Textmetadata
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.