Evidence map›Paper›PMID 27023263›Full record

ArticleRadiation research2016

The Risk of Cataract among Survivors of Childhood and Adolescent Cancer: A Report from the Childhood Cancer Survivor Study.

Gabriel Chodick, Alice J Sigurdson, Ruth A Kleinerman, Charles A Sklar, Wendy Leisenring, Ann C Mertens, Marilyn Stovall, Susan A Smith, Rita E Weathers, Lene H S Veiga and 2 more

Open access · greenAbstract read
In one paragraph

Article in Radiation research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Premature Physiologic Aging as a Paradigm for Understanding Increased Risk of Adverse Health Across the Lifespan of Survivors of Childhood Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
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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

12 authors at 9 institutions in 5 countries.

Gabriel Chodicka   Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland;
Alice J Sigurdsona   Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland;
Ruth A Kleinermana   Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland;
Charles A Sklarc   Department of Pediatrics, Memorial Sloan-Kettering Cancer Center, New York, New York;
Wendy Leisenringd   Share Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington;
Ann C Mertense   Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia;
Marilyn Stovallf   Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas;
Susan A Smithf   Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas;
Rita E Weathersf   Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas;
Lene H S Veigag   Institute of Radiation Protection and Dosimetry, Brazilian Nuclear Energy Commission, Rio de Janeiro, Brazil; and.
Leslie L Robisonh   Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.
Peter D Inskipa   Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland;
The University of Texas MD Anderson Cancer Center · USNational Cancer Institute · USDivision of Cancer Epidemiology and GeneticsEmory University · USFred Hutch Cancer Center · USInstituto de Radioproteção e Dosimetria · BRMemorial Sloan Kettering Cancer Center · USNational Cancer Institute · UASt. Jude Children's Research Hospital · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
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
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
NCI NIH HHS P30 CA008748NCI NIH HHS U24 CA055727
6 · The paper itself

Abstract

With therapeutic successes and improved survival after a cancer diagnosis in childhood, increasing numbers of cancer survivors are at risk of subsequent treatment-related morbidities, including cataracts. While it is well known that the lens of the eye is one of the most radiosensitive tissues in the human body, the risks associated with radiation doses less than 2 Gy are less understood, as are the long- and short-term cataract risks from exposure to ionizing radiation at a young age. In this study, we followed 13,902 five-year survivors of childhood cancer in the Childhood Cancer Survivor Study cohort an average of 21.4 years from the date of first cancer diagnosis. For patients receiving radiotherapy, lens dose (mean: 2.2 Gy; range: 0-66 Gy) was estimated based on radiotherapy records. We used unconditional multivariable logistic regression models to evaluate prevalence of self-reported cataract in relationship to cumulative radiation dose both at five years after the initial cancer diagnosis and at the end of follow-up. We modeled the radiation effect in terms of the excess odds ratio (EOR) per Gy. We also analyzed cataract incidence starting from five years after initial cancer diagnosis to the end of follow-up using Cox regression. A total of 483 (3.5%) cataract cases were identified, including 200 (1.4%) diagnosed during the first five years of follow-up. In a multivariable logistic regression model, cataract prevalence at the end of follow-up was positively associated with lens dose in a manner consistent with a linear dose-response relationship (EOR per Gy = 0.92; 95% CI: 0.65-1.20). The odds ratio for doses between 0.5 and 1.5 Gy was elevated significantly relative to doses <0.5 Gy (OR = 2.2; 95% CI: 1.3-3.7). The results from this study indicate a strong association between ocular exposure to ionizing radiation and long-term risk of pre-senile cataract. The risk of cataract increased with increasing exposure, beginning at lens doses as low as 0.5 Gy. Our findings are in agreement with a growing body of evidence of an elevated risk for lens opacities in populations exposed to doses of ionizing radiation below the previously suggested threshold level of 2 Gy.

Indexed as

AdolescentAdultCataractChildDose-Response Relationship, RadiationFemaleHumansLens, CrystallineMaleMiddle AgedModels, StatisticalNeoplasmsRadiation InjuriesSurvivorsYoung Adult

Identifiers

PMID27023263
PMCPMC4853230
OpenAlexW2314446106

What OpenQuestion holds

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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.