Evidence map›Paper›PMID 28323979›Full record

ArticleThe Journal of clinical endocrinology and metabolism2017

Thyroid Cancer Following Childhood Low-Dose Radiation Exposure: A Pooled Analysis of Nine Cohorts.

Jay H Lubin, M Jacob Adams, Roy Shore, Erik Holmberg, Arthur B Schneider, Michael M Hawkins, Leslie L Robison, Peter D Inskip, Marie Lundell, Robert Johansson and 7 more

Open access · bronzeAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 6 pooled it
13.1field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 6 syntheses or guidelines pooled it, 165 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Approach to the Pediatric Patient With Thyroid Nodules.The Journal of clinical endocrinology and metabolism · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 13 institutions in 7 countries.

Jay H LubinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892.
M Jacob AdamsUniversity of Rochester School of Medicine and Dentistry, Department of Public Health Sciences, Rochester, New York 14642.
Roy ShoreRadiation Effects Research Foundation, Hiroshima 732-0815, Japan.
Erik HolmbergDepartment of Oncology and Radiation Physics and the Oncological Centre, Sahlgrenska University Hospital, S-413-45 Goteborg, Sweden.
Arthur B SchneiderUniversity of Illinois College of Medicine, Section of Endocrinology, Diabetes, and Metabolism, Chicago, Illinois 60612.
Michael M HawkinsCentre for Childhood Cancer Survivor Studies, Department of Public Health and Epidemiology, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Leslie L RobisonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee 38105-3678.
Peter D InskipDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892.
Marie LundellDepartment of Medical Physics, Radiumhemmet, Karolinska University Hospital and Karolinska Institute, SE-171 76 Stockholm, Sweden.
Robert JohanssonOncology, Department of Radiation Sciences, Umeå University, 901 87 Umeå, Sweden.
Ruth A KleinermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892.
Florent de VathaireCancer Epidemiology Research Unit, National Institute for Health and Medical Research-Institut Gustave Roussy, 94 805 Villejuif, France.
Lena DamberOncology, Department of Radiation Sciences, Umeå University, 901 87 Umeå, Sweden.
Siegal SadetzkiCancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Tel Hashomer, 52621 Israel.
Margaret TuckerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892.
Ritsu SakataRadiation Effects Research Foundation, Hiroshima 732-0815, Japan.
Lene H S VeigaInstitute for Radiation Protection and Dosimetry, Brazilian Nuclear Energy Commission, 22783-127 Rio de Janeiro, Brazil.
National Cancer Institute · USNational Institutes of Health · USRadiation Effects Research Foundation · JPUmeå University · SEInstitut Gustave Roussy · FRKarolinska Institutet · SENuclear Engineering Institute · BRSahlgrenska University Hospital · SESt. Jude Children's Research Hospital · USTel Aviv University · ILUniversity of Birmingham · GBUniversity of Illinois Chicago · USUniversity of Rochester · US

Funding

Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
Cardiovascular Risk 50 Years After Thymic IrradiationK23HL070930 · NHLBI · UNIVERSITY OF ROCHESTER · PI ADAMS, MICHAEL JACOB · 2003 to 2007
$617k
NCI NIH HHS U24 CA055727NHLBI NIH HHS K23 HL070930
6 · The paper itself

Abstract

Context: The increased use of diagnostic and therapeutic procedures that involve radiation raises concerns about radiation effects, particularly in children and the radiosensitive thyroid gland. Objectives: Evaluation of relative risk (RR) trends for thyroid radiation doses <0.2 gray (Gy); evidence of a threshold dose; and possible modifiers of the dose-response, e.g., sex, age at exposure, time since exposure. Design and Setting: Pooled data from nine cohort studies of childhood external radiation exposure and thyroid cancer with individualized dose estimates, ≥1000 irradiated subjects or ≥10 thyroid cancer cases, with data limited to individuals receiving doses <0.2 Gy. Participants: Cohorts included the following: childhood cancer survivors (n = 2); children treated for benign diseases (n = 6); and children who survived the atomic bombings in Japan (n = 1). There were 252 cases and 2,588,559 person-years in irradiated individuals and 142 cases and 1,865,957 person-years in nonirradiated individuals. Intervention: There were no interventions. Main Outcome Measure: Incident thyroid cancers. Results: For both <0.2 and <0.1 Gy, RRs increased with thyroid dose (P < 0.01), without significant departure from linearity (P = 0.77 and P = 0.66, respectively). Estimates of threshold dose ranged from 0.0 to 0.03 Gy, with an upper 95% confidence bound of 0.04 Gy. The increasing dose-response trend persisted >45 years after exposure, was greater at younger age at exposure and younger attained age, and was similar by sex and number of treatments. Conclusions: Our analyses reaffirmed linearity of the dose response as the most plausible relationship for "as low as reasonably achievable" assessments for pediatric low-dose radiation-associated thyroid cancer risk.

Indexed as

AdolescentAge FactorsChildChild, PreschoolCohort StudiesDose-Response Relationship, RadiationFemaleHumansMaleNeoplasms, Radiation-InducedPrognosisRadiation ExposureRisk AssessmentSex FactorsSurvival RateThyroid Neoplasms

Identifiers

PMID28323979
PMCPMC5505197
OpenAlexW2731078055

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.