Evidence map›Paper›PMID 23102695›Full record

SynthesisInternational journal of radiation oncology, biology, physics2013

Second solid cancers after radiation therapy: a systematic review of the epidemiologic studies of the radiation dose-response relationship.

Amy Berrington de Gonzalez, Ethel Gilbert, Rochelle Curtis, Peter Inskip, Ruth Kleinerman, Lindsay Morton, Preetha Rajaraman, Mark P Little

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in International journal of radiation oncology, biology, physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07020780 (Five Fractions Ultrahypofractionated Whole Breast Radiotherapy and Simultaneous Integrated Boost to the Tumor Bed, for Breast Cancer Patients With Unfavorable Characteristics), which is not on this map. Cited by 127 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 4 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.

NCT07020780 narecruitingnot on this mapstarted 2025, after this paper: background citation

Five Fractions Ultrahypofractionated Whole Breast Radiotherapy and Simultaneous Integrated Boost to the Tumor Bed, for Breast Cancer Patients With Unfavorable Characteristics

TypeinterventionalSponsorIRCCS San RaffaeleRan2025 to 2035Enrolled458ConditionsBreast CancerArmsAdjuvant 5 fractions whole breast irradiation with simultaneous integrated boost to the tumor bed
3 · Its place in the literature

Who cites it

127 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Clinicopathological Analysis and Survival Outcomes of Radiation-Induced Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Pooled it
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  8. Radiomitigators: Breakthroughs in Post-Radiation Recovery.Antioxidants (Basel, Switzerland) · 2026
    Review
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  18. Analyzing Secondary Cancer Risk: A Machine Learning Approach.Asian Pacific journal of cancer prevention : APJCP · 2025
    Article
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  20. Article

67 more citing papers are in PubMed but not listed here.

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

8 authors.

Amy Berrington de GonzalezRadiation Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. berringtona@mail.nih.gov
Ethel Gilbert
Rochelle Curtis
Peter Inskip
Ruth Kleinerman
Lindsay Morton
Preetha Rajaraman
Mark P Little

Funding

Studies of Populations Exposed to Therapeutic Medical Radiation and Other AgentsZIACP010131 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$81.0M
Intramural NIH HHS ZIA CP010131
6 · The paper itself

Abstract

Rapid innovations in radiation therapy techniques have resulted in an urgent need for risk projection models for second cancer risks from high-dose radiation exposure, because direct observation of the late effects of newer treatments will require patient follow-up for a decade or more. However, the patterns of cancer risk after fractionated high-dose radiation are much less well understood than those after lower-dose exposures (0.1-5 Gy). In particular, there is uncertainty about the shape of the dose-response curve at high doses and about the magnitude of the second cancer risk per unit dose. We reviewed the available evidence from epidemiologic studies of second solid cancers in organs that received high-dose exposure (>5 Gy) from radiation therapy where dose-response curves were estimated from individual organ-specific doses. We included 28 eligible studies with 3434 second cancer patients across 11 second solid cancers. Overall, there was little evidence that the dose-response curve was nonlinear in the direction of a downturn in risk, even at organ doses of ≥60 Gy. Thyroid cancer was the only exception, with evidence of a downturn after 20 Gy. Generally the excess relative risk per Gray, taking account of age and sex, was 5 to 10 times lower than the risk from acute exposures of <2 Gy among the Japanese atomic bomb survivors. However, the magnitude of the reduction in risk varied according to the second cancer. The results of our review provide insights into radiation carcinogenesis from fractionated high-dose exposures and are generally consistent with current theoretical models. The results can be used to refine the development of second solid cancer risk projection models for novel radiation therapy techniques.

Indexed as

Brain NeoplasmsBreast NeoplasmsCase-Control StudiesDose Fractionation, RadiationDose-Response Relationship, RadiationFemaleHumansLung NeoplasmsMaleNeoplasms, Radiation-InducedNeoplasms, Second PrimaryOrgans at RiskRadioactive FalloutRisk AssessmentSarcomaSurvivorsRadioactive Fallout

Identifiers

PMID23102695
PMCPMC3816386

What OpenQuestion holds

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Registered trials

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.