Article in Acta oncologica (Stockholm, Sweden), 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.
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.
Frederik Voigt CarstensenDepartment of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. frederik.voigt.carstensen@regionh.dk.ORCID 0009-0004-9533-8254
Sofie A M GernaatDivision of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-7828-1138
Friederike BanningBreast Center, Department of OB&GYN, LMU University Hospital, Munich, Germany; CCC Munich, LMU University Hospital, Munich, Germany.ORCID 0009-0009-2580-0980
Desiree Van den BongardDepartment of Radiation Oncology, Amsterdam UMC, Cancer Center Amsterdam, Amsterdam, Netherlands; Cancer Treatment and Quality of Life / Cancer Biology and Immunology, Amsterdam, Netherlands.ORCID 0000-0002-5549-324X
Nadia HarbeckBreast Center, Department of OB&GYN, LMU University Hospital, Munich, Germany; CCC Munich, LMU University Hospital, Munich, Germany.ORCID 0000-0002-9744-7372
Marle HattinkDivision of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0009-0004-3520-6532
Lorenzo LiviDepartment of Experimental and Clinical Biomedical Sciences "M. Serio", University of Florence, Florence, Italy; Radiation Oncology Unit & Breast Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.ORCID 0000-0002-7755-9422
Icro MeattiniDepartment of Experimental and Clinical Biomedical Sciences "M. Serio", University of Florence, Florence, Italy; Radiation Oncology Unit & Breast Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.ORCID 0000-0002-1861-2895
Karin MeijerDepartment of Radiation Oncology, Amsterdam UMC, Cancer Center Amsterdam, Amsterdam, Netherlands; Cancer Treatment and Quality of Life / Cancer Biology and Immunology, Amsterdam, Netherlands.ORCID 0000-0002-5745-1465
Jens PetersenDepartment of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0138-0693
Ivica RatosaDivision of Radiotherapy, Institute of Oncology Ljubljana, Zaloska cesta 2, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia.ORCID 0000-0002-5551-6616
Helena VerkooijenDivision of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-9480-1623
Ivan Richter VogeliusDepartment of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-8877-1218
Maja Vestmø MaraldoDepartment of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-6159-5907
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.
Attitudes toward AI-generated risk prediction in patients with early breast cancer: an international multicenter survey. · full record | OpenQuestion