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Patterns of Care Study [POCS], or Veterans Administration studies). Nonrandomized
               comparative studies also had to use multivariable methods (regression or propensity-score based)
               or instrumental variable methods to estimate treatment effects. Operationally, we required
               adjustment at least for patient age for all observational studies; when such studies reported on
               mixed populations (localized mixed with more advanced disease), we also required adjustment
               for at least one marker of disease severity (e.g., disease stage, tumor grade, Gleason score).
                   For all Key Questions, potentially eligible studies identified through screening titles and
               abstracts (see previous section) were retrieved in full text and were reviewed by a single
               investigator using the above listed criteria.

               Key Question 5 (Research Needs)
                   We did not perform a separate literature search for this Key Question, but instead reviewed
               the evidence for Key Questions 1 to 4 to identify research gaps.

               Data Extraction and Summaries

                   We considered primary research studies of diverse designs, including published systematic
               reviews of primary research studies. We list here the information that was extracted from these
               types of evidence. The summary Tables are provided in Appendix C.

               Primary Research Studies

                   We extracted bibliographic information, eligibility criteria, enrollment years, study duration,
               and the number of patients included in the final analytic sample. We also extracted additional
               information from primary research studies considered relevant to each Key Question.


               Key Question 1 (Trends in Incidence, Mortality and Features at
               Diagnosis)
                   From each study that provided information on temporal trends we extracted information that
               allowed the reconstruction of trends over time in incidence, mortality/survival, patient-, tumor-,
               and system-level characteristics at diagnosis. For parsimony, we grouped the extracted
               information in 5-year bins covering the time period of interest (1980-2010/11). When a study
               reported multiple estimates of the parameters of interest within a single 5-year bin, we only
               extracted information for the year closest to the mid-point of the bin (e.g., if a study reported
               incidence rate data for all years between 1980 and 1985, we extracted the incidence rates for the
               years 1982 only).
                   From studies reporting statistical tests for change of the parameters of interest over time, we
               extracted the following information (when available): the specific method used for statistical
               analysis of trend data, estimates of trend statistics, and p-values for changes in parameters of
               interest over time.


               Key Question 2 (Definitions of Observational Management Strategies)
                   To describe the definitions of observational management strategies used in published studies
               of such strategies, we extracted information on patient- and tumor-level characteristics used as
               eligibility criteria, followup or monitoring parameters, or specific triggers for intervention (active
               therapy). We also extracted details on the definition of disease progression used in each study.






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