Evidence map›Paper›PMID 39485483›Full record

ArticleJournal of the National Cancer Institute2025

Prediction of breast cancer risk for adolescents and young adults with Hodgkin lymphoma.

Sander Roberti, Flora E van Leeuwen, Ibrahima Diallo, Florent de Vathaire, Michael Schaapveld, Wendy M Leisenring, Rebecca M Howell, Gregory T Armstrong, Chaya S Moskowitz, Susan A Smith and 5 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Sander RobertiDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.ORCID 0000-0002-6275-7442
Flora E van LeeuwenDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.ORCID 0000-0002-5871-1484
Ibrahima DialloUniversity Paris Saclay, 94800 Villejuif, France.ORCID 0000-0002-8272-8817
Florent de VathaireRadiation Oncology Department, Gustave Roussy, 94805 Villejuif, France.ORCID 0000-0002-8374-9281
Michael SchaapveldDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.ORCID 0000-0003-4390-7182
Wendy M LeisenringClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, United States.
Rebecca M HowellDepartment of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, United States.
Gregory T ArmstrongDepartment of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN 38105, United States.
Chaya S MoskowitzDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.ORCID 0000-0002-2850-8450
Susan A SmithDepartment of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, United States.
Berthe M P AlemanDepartment of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.
Inge M KrulDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.
Nicola S RussellDepartment of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, United States.
Michael HauptmannInstitute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, 16816 Neuruppin, Germany.ORCID 0000-0001-8539-0148

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Shondra Michelle Miller · 1985 to 2026
$166.9M
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
American Lebanese-Syrian Associated CharitiesCancer Center Support CA21765Childhood Cancer Survivor StudyDutch Cancer Society KWF10004NCI NIH HHS CA55727NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA021765NCI NIH HHS U24 CA055727NIHSt Jude Children's Research HospitalThe Childhood Cancer Survivor Study
6 · The paper itself

Abstract

backgroundAlthough female survivors of Hodgkin lymphoma (HL) have an increased risk of breast cancer (BC), no BC risk prediction model is available. We developed such models incorporating mean radiation dose to the breast or breast quadrant-specific radiation doses.

methodsRelative risks and age-specific incidence for BC and competing events (mortality or other subsequent cancer) were estimated from 1194 Dutch 5-year HL survivors, treated at ages 11-40 during 1965-2000. Predictors were doses to 10 breast segments or mean breast radiation dose, BC family history, year of and age at HL diagnosis, and ages at menopause and first live birth. Models were independently validated using US Childhood Cancer Survivor Study cohort participants.

resultsPredicted absolute BC risks 25 years after HL diagnosis ranged from 1.0% for survivors diagnosed at ages 20-24 with less than 10 Gy mean breast radiation dose and who were menopausal 5 years after HL diagnosis, to 22.0% for survivors 25-29 years at diagnosis, with at least 25 Gy mean breast dose and no menopause within 5 years. In external validation, the observed/expected BC case ratio was 1.19 (95% confidence interval 0.97 to 1.47) for the breast segment-specific dose model, and 1.29 (1.05 to 1.60) for the mean breast dose model. The areas under the receiver operating characteristic curve were 0.68 (0.63 to 0.74) and 0.68 (0.62 to 0.73), respectively.

conclusionBreast segment-specific or mean breast radiation dose with personal and clinical characteristics predicted absolute BC risk in HL survivors with moderate discrimination but good calibration, rendering the models useful for clinical decision-making.

Indexed as

BreastBreast NeoplasmsHodgkin DiseaseNeoplasms, Radiation-InducedAdolescentAdultAge FactorsCancer SurvivorsChildFemaleHumansIncidenceNetherlandsRisk AssessmentRisk FactorsYoung Adult

Identifiers

PMID39485483
PMCPMC11972682

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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.