Table 2.
Results of the mixed effects Bayesian INLA binary logistic regression models in the female breast cancer cohort, adjusted for baseline age class, year, month, patient ID, and municipality of residence.
| Mixed effects INLA binary logistic regressions | Female breast cancer cohort | |||||||
|---|---|---|---|---|---|---|---|---|
| TNM III-IV | TNM IV | Grade 3 | Ki-67 > 20% | |||||
| N = 2,525; n = 587 | N = 2,525; n = 205 | N = 2,580; n = 990 | N = 2,713; n = 944 | |||||
| Fixed effect | OR | 95% CrI | OR | 95% CrI | OR | 95% CrI | OR | 95% CrI |
| Residence in SIN | ||||||||
| Extra-SIN | 1.00 | (ref) | 1.00 | (ref) | 1.00 | (ref) | 1.00 | (ref) |
| SIN | 1.09 | 0.88–1.42 | 1.29 | 0.96–1.73 | 0.98 | 0.83–1.16 | 0.95 | 0.81–1.13 |
| Mixed effects INLA binary logistic regressions | Female breast cancer cohort | |||||||
|---|---|---|---|---|---|---|---|---|
| ER+ and/or PR+ | HER2/neu+ | C50.0–1 | Bilateral | |||||
| N = 2,723; n = 2,362 | N = 2,643; n = 450 | N = 2,562; n = 273 | N = 2,781; n = 66 | |||||
| Fixed effect | OR | 95% CrI | OR | 95% CrI | OR | 95% CrI | OR | 95% CrI |
| Residence in SIN | ||||||||
| Extra-SIN | 1.00 | (ref) | 1.00 | (ref) | 1.00 | (ref) | 1.00 | (ref) |
| SIN | 0.97 | 0.77–1.22 | 0.99 | 0.80–1.22 | 0.86 | 0.66–1.12 | 1.25 | 0.76–2.05 |
Province of Taranto, 2015–20, follow-up to 31/12/2021. Outcome (prevalence): tumor characteristic. N: prevalent cases and non-cases. n: prevalent cases.