Evidence map›Paper›PMID 24105448›Full record

ArticleRadiation and environmental biophysics2014

Predicted cancer risks induced by computed tomography examinations during childhood, by a quantitative risk assessment approach.

Neige Journy, Sophie Ancelet, Jean-Luc Rehel, Myriam Mezzarobba, Bernard Aubert, Dominique Laurier, Marie-Odile Bernier

Abstract read
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In one paragraph

Article in Radiation and environmental biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Primary Mold-Active Antifungal Prophylaxis Decreases the Need for Chest Computed Tomography Scans in Patients with Acute Lymphoblastic Leukemia.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Guidelines for reasonable and appropriate care in the emergency department (GRACE): Recurrent, low-risk chest pain in the emergency department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Imaging in craniosynostosis: when and what?Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2019
    Review
  17. Article
  18. Review
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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

7 authors.

Neige JournyLaboratory of Epidemiology, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, France.
Sophie Ancelet
Jean-Luc Rehel
Myriam Mezzarobba
Bernard Aubert
Dominique Laurier
Marie-Odile Bernier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential adverse effects associated with exposure to ionizing radiation from computed tomography (CT) in pediatrics must be characterized in relation to their expected clinical benefits. Additional epidemiological data are, however, still awaited for providing a lifelong overview of potential cancer risks. This paper gives predictions of potential lifetime risks of cancer incidence that would be induced by CT examinations during childhood in French routine practices in pediatrics. Organ doses were estimated from standard radiological protocols in 15 hospitals. Excess risks of leukemia, brain/central nervous system, breast and thyroid cancers were predicted from dose-response models estimated in the Japanese atomic bomb survivors' dataset and studies of medical exposures. Uncertainty in predictions was quantified using Monte Carlo simulations. This approach predicts that 100,000 skull/brain scans in 5-year-old children would result in eight (90 % uncertainty interval (UI) 1-55) brain/CNS cancers and four (90 % UI 1-14) cases of leukemia and that 100,000 chest scans would lead to 31 (90 % UI 9-101) thyroid cancers, 55 (90 % UI 20-158) breast cancers, and one (90 % UI <0.1-4) leukemia case (all in excess of risks without exposure). Compared to background risks, radiation-induced risks would be low for individuals throughout life, but relative risks would be highest in the first decades of life. Heterogeneity in the radiological protocols across the hospitals implies that 5-10 % of CT examinations would be related to risks 1.4-3.6 times higher than those for the median doses. Overall excess relative risks in exposed populations would be 1-10 % depending on the site of cancer and the duration of follow-up. The results emphasize the potential risks of cancer specifically from standard CT examinations in pediatrics and underline the necessity of optimization of radiological protocols.

Indexed as

AdultChildEnvironmental ExposureFemaleHumansInfantInfant, NewbornMaleNeoplasms, Radiation-InducedRisk AssessmentTomography, X-Ray ComputedUncertainty

Identifiers

What OpenQuestion holds

Textmetadata
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.