Abstract P1-09-02: BMI and metabolic factors in long-term breast cancer survivors: Changes from diagnosis and comparison to non-breast cancer controls
Bibliographic record
Abstract
Abstract Background: The metabolic syndrome is associated with poor breast cancer (BC) outcome. We evaluated changes from diagnosis in metabolic factors and BMI in long-term survivors and compared their status at long-term follow-up (LTFU) to that of age-matched women with no history of BC. Methods: A total of 535 women with early breast cancer were enrolled between 1989 and 1996 and followed prospectively. From 2005 to 2007, those alive without distant recurrence were re-contacted to participate in a long-term followed-up study and 285 agreed. A control group of 167 age-matched women without cancer history was recruited from women presenting for screening mammograms. Mean changes in metabolic factors from diagnosis to long-term follow-up were assessed with paired t-tests. In spite of matching, controls were younger and had higher income than survivors and the comparison to controls was made using age-adjusted regression models. Variables were transformed to normality before statistical testing. Results: With a median follow-up of 12.5 years, BC survivors gained on average 2.35 kg and BMI, waist and hip circumference, waist-hip ratio, glucose, insulin, HOMA, total cholesterol and its components (but not triglycerides) increased significantly. After age adjustment, waist circumference, glucose, HOMA and total triglycerides were significantly higher in BC survivors compared to controls Comparison of LTFU BC survivors to non-cancer controls Unadjusted mean ± standard deviationUnadjusted mean ± standard deviation BC patientscontrolsP-value for age-adjusted differencewaist circumference (cm)85 ± 1281 ± 10.01Glucose (mmol/L)5.5 ± 1.05.2 ± 0.9.01Insulin (pmol/L)60.9 ± 50.547.1 ± 28.3.06HOMA2.25 ± 2.241.64 ± 1.24.03Triglycerides (mmol/L)1.28 ± 0.641.10 ± 0.57.01BMI (kg/m2)26.3 ± 4.925.4 ± 4.5.26 Despite exclusion of BC patients with diabetes at study entry, 24.9% of BC survivors self reported diabetes or pre-diabetes (1.99%/year) versus 12.6% in controls (OR 2.3, p= .0017). Conclusion: The metabolic status of long-term BC survivors deteriorated over time and age-adjusted at LTFU were worse with respect to a number of factors compared to the control group. Citation Format: Ana Elisa Lohmann, Marguerite Ennis, Pamela J Goodwin. BMI and metabolic factors in long-term breast cancer survivors: Changes from diagnosis and comparison to non-breast cancer controls [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P1-09-02.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".