Dynamic prognostication using conditional survival estimates

Dynamic prognostication using conditional survival analysis for patients with operable lung adenocarcinoma

PURPOSE To evaluate conditional survival among patients with surgically resected stage I-IIIa lung adenocarcinoma and identify changes in prognostic contributions for various prognostic factors over time. PATIENTS AND METHODS We performed conditional survival analysis at each t0 (=0, 1, 2, 3, 4, 5 years) for 723 consecutive patients who underwent surgical resection for lung adenocarcinoma, st...

Conditional survival estimates for cancer patients

When do I know I am cured? Using conditional estimates to provide better information about cancer survival prospects.

OBJECTIVE To report the latest conditional survival estimates for patients with cancer in Queensland, Australia. DESIGN, SETTING AND PARTICIPANTS Descriptive study of state-wide population-based data from the Queensland Cancer Registry on patients aged 15-89 years who were diagnosed with invasive cancer between 1982 and 2007. MAIN OUTCOME MEASURE Conditional 5-year relative survival for the...

Impact of Relative Conditional Survival Estimates on Patient Prognosis After Percutaneous Coronary Intervention.

BACKGROUND Some aspects of prognosis are not reflected by cumulative survival estimates. These aspects include information on the time already survived by the patient and the patient's survival compared with the general population. Conditional survival (ie, conditional on having survived a certain period of time already) and relative conditional survival (ie, compared with the general populatio...

Assessing semantic coherence in conditional probability estimates.

Semantic coherence is a higher-order coherence benchmark that assesses whether a constellation of estimates--P(A), P(B), P(B | A), and P(A | B)--maps onto the relationship between sets implied by the description of a given problem. We present an automated method for evaluating semantic coherence in conditional probability estimates that efficiently reduces a large problem space into five meanin...