Abstract:
:Post-therapeutic surveillance is one important component of cancer care. However, there still is no evidence-based strategies to schedule patients' follow-up examinations. Our approach is based on the modeling of the probability of the onset of relapse at an early asymptotic or preclinical stage and its transition to a clinical stage. For that we consider a multistate homogeneous Markov model, which includes the natural history of relapse. The model also handles separately the different types of possible relapses. The optimal schedule is provided by the calendar visit that maximizes a utility function. The methodology has been applied to laryngeal cancer. The different follow-up strategies revealed to be more efficient than those proposed by different scientific societies.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Somda SM,Leconte E,Boher JM,Asselain B,Kramar A,Filleron Tdoi
10.1177/0962280214524178subject
Has Abstractpub_date
2016-12-01 00:00:00pages
2457-2471issue
6eissn
0962-2802issn
1477-0334pii
0962280214524178journal_volume
25pub_type
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