Well, here goes: the following table shows the estimates of the recurrence rates of 5, 10 and 15 year periods. The results are from an analysis conducted by Freedman et al.
Years after First Occurrence | 5 | 10 | 15 |
Local recurrence | 2% | 5% | 7% |
Elsewhere recurrence | 1% | 2% | 6% |
Contralateral recurrence | 13% |
“Local recurrence” means occurrence in the same quadrant as the first cancer. Contralateral means the other breast.
When the NY Times writer asked the doctor what the probability of recurrence was, the doctor replied that it didn’t matter. It would either happen or it wouldn’t. The writer was stunned by the response. I am not surprised by the doctor. The doctor, despite being an breast cancer expert, probably did not know the answer, and if he did, most likely did not understand the significance of the question. I have discussed on numerous occasions in this blog that the medical profession is generally very weak in understanding probability and risks and this affects its ability to optimize treatment. The doctor’s answer is yet another example. Probability should be a required course for medical students. The risks of a disease of occurring, disappearing or reappearing after a treatment protocol should have a direct impact on deciding about whether to follow the original treatment protocol at all and what kind of monitoring should follow.