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For time to recurrence, the key factors were number of nodes involved, PgR, tumour grade and clinical size (Table 2).
Together these data argue that, while a fraction of Bz-surviving cells may be sensitized to apoptosis even after drug-washout and this contributes to the time to recurrence, the long-term surviving fraction becomes deeply quiescent (or slow cycling) for variable periods of time after drug exposure.
These prognostic factors, including age, gender, and T-Classification at the initial diagnosis and recurrence, time to recurrence, the dose, and the modalities of re-irradiation on predicting local control (LC), DFS, and OS were evaluated by both univariate and multivariate analyses.
This model requires the same assumptions as the Cox model, but, unlike the AG model, it allows the baseline hazard to vary from recurrence to recurrence, the hazard function for the j t h event for the i t h subject is: h ij (t ) = h 0 j (t ) exp (β j ′ Z i (t ) ).
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Other endpoints included the rates of local and distal tumor recurrence; the time to recurrence; and the correlation of recurrence with mass effect, cognitive functioning, and clinical symptoms.
This is necessary for the analysis of the impact of the time to recurrence on the future disease course.
Recurrence-free survival is the time from start of radiotherapy to cancer recurrence within the radiation field, and metastasis-free survival is the time to recurrence outside the radiation field.
Kaplan Meier estimates were performed to determine the time to recurrence after the first, second and third implants.
The median time to recurrence for the entire cohort was 4.5 months.
The overall mean interval to recurrence after the operation was 14.2 ± 13.9 months (range, 0.8 65.2 months).
Cox regression was applied to assess variables significantly associated to recurrence in the univariate analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com