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Quality of life after breast-conserving therapy and adjuvant radiotherapy for non-low-risk ductal carcinoma in situ (BIG 3-07/TROG 07.01): 2-year results of a randomised, controlled, phase 3 trial
Madeleine King, Emma Link, Timothy J. Whelan, Ivo A. Olivotto, Ian Kunkler, A. Helen Westenberg, Guenther Gruber, Penny Schofield, Boon Chua, Claire Phillips, Helen Westenberg, Om Pra-Kesh Purohit, Verity Ahern, Peter Graham, Mohamed Akra, Orla McArdle, Peter C. O’Brien, Jane Ludbrook, Jennifer A. Harvey, John H. Maduro, Isabelle Gabelle-Flandin, Carine Kirkove, C. Bedi, Joseph D. Martin, T Trinh T Vu, Theirry Muanza, Anthony Neal, A. Courdi, Juliette Thariat, Eileen Rakovitch, Laurien Daniëls, Marjan van Hezewijk, Wlasyslawa Cwajna, A. Roelstraete, Angela van Baardwijk, Nicola Russel, Anne Koch, Jennifer Croke, Imogen Locke, Peter Jeal, Quenten Walker, Kandeepeepan Thuraisingham, Anupam Chauduri, David Joseph, Mandy Taylor, S. Vanderkam, Tony Woo, Johann Tang, Michael Yassa, Elaine S. Wai, Susan Hewitt, Shazia Mahmood, Jennifer Gilmore, Bolante Ofi, Amit Bahl, Olga Vujovic, Edward Yu, Duc Le, Iwa Kong, Alan Nichol, Nina Bijker, Geoff P. Delaney, M. Feigen, Adeline Lim, Michael Chao, Margaret Latham, Hafiz Algurafi, Christoph Tausch, Eric Yin-Hao Khoo, Sam Leung, Karen J. Taylor, Andrea Stevens, Abhro Chaudhuri, Susan Cleator, Adrian Murray Brunt, Scott Babington, David Christie, Daniel R. Zwahlen, Ulrich Schratzenstaller, Laurence Masson, Nicola Storey, Eshwar Kumar, Liz Sherwin, Reinhilde Weytjens, Ravi Sharma, Patricia A. Lawton, Ruth Angell, Glenys Round, Angela Allen, Ziad Thotathil, Margaret Anthes, Christiane Reuter, Laura Pettit, Yvonne Zissiadis, Christine Elder, Antoinette Verbeek-de Kanter, A. Lirette, Ludwig Plaßwilm, D. Spooner, Fiona Hoar, Islam Mohamed, Kristina Lössl, Vivienne Loo, A. Richetti, Tamasin Evans, Aisling Hennessy, Medhat El-Mallah, Marketa Skala, Raef Awad, Isabelle Germain, C. Mitine, Hilde Van Parijs, Mark Churn, Nawaz Walji, Michael Francis, Karin Stellamans, Günther Gruber, Gilles Ivaldi, Abdulla Alhasso, Liz Kenny, Ken Tiver, Matthew Griffin, Gillian Lamoury, Marco Trovò, Hafiz Algufarfi, Minjae Lah, Scott Carruthers, George Papadatos, Gabriel Paardekooper, Mojca Persic, Bernadette Lavery
Bibliographic record
VenueThe Lancet Oncology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of CalgaryMcMaster University
FundersNational Health and Medical Research CouncilEuropean Organisation for Research and Treatment of CancerCanadian Cancer SocietyKWF KankerbestrijdingBreast Cancer NowSusan G. Komen for the Cure
KeywordsDuctal carcinomaMedicineRadiation therapyRandomized controlled trialQuality of life (healthcare)OncologyAdjuvant therapyBreast cancerIn situInternal medicineCancerNursing
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.605
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.039
GPT teacher head0.325
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations52
Published2020
Admission routes2
Has abstractno