Evidence map›Paper›PMID 40092671›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2025

Building absolute breast cancer risk prediction models for women treated with chest radiation for Hodgkin lymphoma.

Sander Roberti, Flora E van Leeuwen, Michael Hauptmann, Ruth M Pfeiffer

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Sander RobertiDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6275-7442
Flora E van LeeuwenDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-5871-1484
Michael HauptmannInstitute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.ORCID https://orcid.org/0000-0001-8539-0148
Ruth M PfeifferBiostatistics Branch, National Cancer Institute, Bethesda, MD, USA.ORCID https://orcid.org/0000-0001-7791-2698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We built models to predict absolute breast cancer (BC) risk in women treated with radiotherapy for Hodgkin lymphoma (HL). We first estimated relative risks (RRs) for risk factors, including radiation dose to 10 breast segments to accommodate heterogeneity of treatment effects, using a case-control sample nested in an HL survivor cohort. To estimate RRs of case-control matching factors we developed novel weighting approaches. We then combined RRs with age-specific BC incidence and competing mortality rates from the HL survivor cohort and a population-based registry, accommodating differences between them. We compared the performance of models using segment-specific doses with using mean dose only.

Indexed as

breast cancercohort studycombining datanested case-control studyrisk prediction

Identifiers

PMID40092671
PMCPMC11905882

What OpenQuestion holds

Textmetadata
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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.