
The relationships between CGA and complications, hospital duration, death rate, and baseline characteristics were analyzed. Further CGA tools were Instrumental Activities of Daily Living (iADL), Activities of Daily Living (ADL), and the Charlson Comorbidity Index (CCI). Patients were divided into 2 groups: prostate cancer (n = 88) and distal urinary tract cancer (n = 29). Methods: After informed consent, 111patients were included, all aged more than 65 years, with oncological surgery (with proof of a malignancy), a Mini Mental State Examination (MMSE) score of at least 23 points, and a prospective life expectancy of more than 2 months.
#PRE POST CORRELATION COMPREHENSIVE META ANALYSIS PRO#
Pro Forma Effect means, with respect to compliance with any test or covenant hereunder, that (A) to the extent applicable, the Pro Forma Adjustment shall have been made and (B) all Specified Transactions and the following transactions in connection therewith shall be deemed to have occurred as of the first day of the applicable period of measurement in such test or covenant: (a) income statement items (whether positive or negative) attributable to the property or Person subject to such Specified Transaction, (i) in the case of a sale, transfer or other disposition of all or substantially all Stock in any Subsidiary of the Borrower or any division, product line, or facility used for operations of the Borrower or any of its Subsidiaries, shall be excluded, and (ii) in the case of a Permitted Acquisition or Investment described in the definition of “Specified Transaction”, shall be included, (b) any retirement of Indebtedness and (c) any incurrence or assumption of Indebtedness by the Borrower or any of the Restricted Subsidiaries in connection therewith (it being agreed that if such Indebtedness has a floating or formula rate, such Indebtedness shall have an implied rate of interest for the applicable period for purposes of this definition determined by utilizing the rate that is or would be in effect with respect to such Indebtedness as at the relevant date of determination) provided that, without limiting the application of the Pro Forma Adjustment pursuant to (A) above (but without duplication thereof), the foregoing pro forma adjustments may be applied to any such test or covenant solely to the extent that such adjustments are consistent with the definition of Consolidated EBITDA and give effect to events (including operating expense reductions) that are (i) (x) directly attributable to such transaction, (y) expected to have a continuing impact on the Borrower and the Restricted Subsidiaries and (z) factually supportable or (ii) otherwise consistent with the definition of Pro Forma Adjustment.Objectives: This work aims to evaluatecomprehensive geriatric assessment (CGA) tools to better guide patients with urogenital carcinomas perioperatively and, consequently, to intensify or reduce hospital resource use. No corrections to the group assignment variable were conducted given our goal of assessing diagnostic rigor as a potential moderator following previous ADHD meta- analyses (Alderson et al., 2007 Kofler et al., 2008 Lipszyc & Schachar, 2010). Overall ef- fect sizes were computed under a random effects model in which each study is weighted by its inverse variance weight (1 / SE2) to correct for study- level sampling error as recommended ( Hunter & Schmidt, 2004 Lipsey & Wilson, 2001). An effect size of 0.2 is interpreted conventionally as small ( detectable only through statistics), 0.5 is medium (detectable to a careful observ- er), and 0.8 is large ( obvious to any observer Cohen, 1988). Cohen's d effect sizes are in standard deviation units, such that an effect size of 1.0 indi- cates that two groups differ by one standard deviation (Zakzanis, 2001). Cohen's d effect sizes were corrected using the Hedges' g formula to correct for study sample size due to the upward bias in effect size magnitude of small N studies. For between-group comparisons, these statistics included each group's sample size and t or p values, each group's means and the comparison p value, or reported effect sizes converted to Cohen's d. When these data were unavailable, effect sizes were estimated using reported test statistics. Computation of effect sizes. Means, SDs, and sample sizes for each group were used to compute Cohen's d effect sizes using Comprehensive Meta- Analysis version 2.2 (Biostat, Englewood, NJ, USA).
