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P4-11-08: Changes in the Distribution of Loco-Regional and Distant Breast Cancer Recurrences over the Last 20 Years: Implications for Patient Care and Future Research.

2011· article· en· W2334537782 on OpenAlexaff
Nathaniel Bouganim, M. Clemons, Eitan Amir

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsPrincess Margaret Cancer CentreOttawa Hospital
Fundersnot available
KeywordsMedicineBreast cancerRadiation therapyRandomized controlled trialCancerClinical trialAxillary lymph nodesSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction: Improvements in adjuvant therapy have led to a sustained fall in recurrences after early breast cancer. The differential reduction of both local-regional and systemic recurrences is poorly understood. This study aimed to explore changes in the distribution of loco-regional and distant recurrences in clinical trials reported over the last 20 years. We also aimed to determine the relative impact of adjuvant chemotherapy and endocrine therapy. Methods: A MEDLINE search for adjuvant, Phase III randomized breast cancer clinical studies between January 1990 and March 2011 was performed. Neo-adjuvant, single agent biologics and studies that did not report the proportion of loco-regional and distant recurrences were excluded. Change in the frequency of recurrences was assessed as the non-parametric correlation between the number of loco-regional recurrences (as a proportion of all recurrences) and time. Studies were weighted by sample size. Pre-specified subgroup analyses were assessed using the interaction test and included type of surgery performed, radiotherapy use, menopausal status and type of systemic therapy delivered. Definition of local and distant recurrences differed between studies. For consistency, loco-regional recurrences were classified as recurrences limited to the ipsilateral breast, chest wall, axillary, supraclavicular and internal mammary lymph nodes. Any other recurrence was defined as distant, with the exception of contralateral breast cancer; that was excluded from this analysis. Results: Fifty-three randomized clinical trials with a total of 86,598 patients were included in the analysis. Between 1990 and 2011, the proportion of loco-regional recurrences has decreased from approximately 50% to 10% (Spearman's rho = −0.40, p<.001). There was no interaction between type of surgery (mastectomy vs. lumpectomy, p=0.40), adjuvant radiotherapy use (p=0.63) and menopausal status (p=0.95) and the correlation of loco-regional recurrences and time. Chemotherapy use showed a larger negative correlation compared with endocrine therapy (rho = 0.49 vs rho = 0.24, p=0.008). Conclusion: Advances in treatment of early breast cancer have differentially reduced the proportion of loco-regional recurrences compared with distant recurrences. In recent trials, loco-regional recurrences account for less than 10–15% of all recurrences. These falling event rates may affect patient care, especially when deciding on treatments influencing loco-regional control. This change may also impact on the design of clinical trials assessing loco-regional therapy such as surgery and/or local radiation therapy. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P4-11-08.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.056
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0050.009
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.075
GPT teacher head0.389
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2011
Admission routes1
Has abstractyes

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