Moving forward with obesity research in breast cancer
Bibliographic record
Abstract
Obesity has been associated with higher incidence of both post-menopausal, primarily receptor positive, and premenopausal triple negative breast cancer (BC) risk [ [1] Dobbins M. Decorby K. Choi B.C. The association between obesity and cancer risk: a meta-analysis of observational studies from 1985 to 2011. ISRN Prev Med. 2013; : 680536 PubMed Google Scholar ]. Secondary analysis of the Women's Health Initiative clinical trial showed that obese versus non-obese postmenopausal women have a higher overall risk of BC (hazard ratio [HR], 1.58; 95% confidence interval (CI), 1.40–1.79) and more advanced stage, larger tumor size (HR, 2.12; 95% CI, 1.67–2.69) than normal weight women [ [2] Neuhouser M.L. Aragaki A.K. Prentice R.L. Manson J.E. Chlebowski R. Carty C.L. et al. Overweight, obesity, and postmenopausal invasive breast Cancer risk: a secondary analysis of the Women's Health initiative randomized clinical trials. JAMA Oncol. 2015 Aug; 1: 611-621https://doi.org/10.1001/jamaoncol.2015.1546 Crossref PubMed Scopus (345) Google Scholar ]. Furthermore, a recent meta-analysis confirmed an increased risk of all-cause mortality for BC patients with body mass index (BMI) > 30mg/m2 at BC diagnosis versus normal weight patients (relative risk (RR), 1.41; 95% CI, 1.29–1.53) [ [3] Chan D.S. Vieira A.R. Aune D. Bandera E.V. Greenwood D.C. McTiernan A. et al. Body mass index and survival in women with breast cancer systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol. 2014; 25: 1901-1914 Crossref PubMed Scopus (700) Google Scholar ]. Obesity is an independent prognostic factor of decreased pathological complete response to neoadjuvant chemotherapy in breast cancer patientsThe BreastVol. 32PreviewThe relation between higher body mass index (BMI) and pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer (BC) is a controversial issue according to the data of Western and Asian patients. The aim of this study is to evaluate BMI and pCR to NAC and discuss the importance of pCR outcomes in Turkish BC patients as a bridging country between Europe and Asia. Full-Text PDF The association between body mass index and immunohistochemical subtypes in breast cancerThe BreastVol. 32PreviewBody mass index (BMI) is defined as a poor prognostic factor in patients with breast cancer (BC). However, there are controversial results regarding the various effects of BMI on BC, hence the exact pathophysiology of the relation between obesity and BC is still under debate, and remains unclear. This paper aims to investigate the association between BMI at presentation and BC subtypes defined according to the immunohistochemical classification in both premenopausal and postmenopausal patients with BC. Full-Text PDF
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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.
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 | 0.002 |
| 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.
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.
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".