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Comprehensive Meta Analysis Version 2 is a software program developed by Biostat. 14 North Dean Street Englewood, NJ 07631 USA.
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The studies were then combined in a random effects model using Comprehensive Meta Analysis software (Biostat, Englewood, NJ) for Windows (Microsoft, .
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Accurate prognostication models incorporating clinical prediction of survival are needed.Biostat Comprehensive Meta Analysis CrackĬomprehensive Meta Analysis Keygen Idm Free 9,4/10 9619 votes. Clinicians caring for patients with terminal cancer need to be aware of their tendency to overestimate survival, as it may affect patients' prospects for achieving a good death. Heterogeneity of the studies' results precluded a comprehensive meta-analysis.Īlthough clinicians consistently overestimate survival, their predictions are highly correlated with actual survival the predictions have discriminatory ability even if they are miscalibrated. Consideration of performance status, symptoms, and use of steroids improved the accuracy of the CPS, although the additional value was small. Although agreement between CPS and AS was poor (weighted kappa 0.36), the two were highly significantly associated after log transformation (Spearman rank correlation 0.60, P < 0.001). The longer the CPS the greater the variability in AS. CPS was generally overoptimistic (median CPS 42 days, median AS 29 days) it was correct to within one week in 25% of cases and overestimated survival by at least four weeks in 27%. Raw data were pooled and analysed with regression and other multivariate techniques.ġ7 published studies were identified 12 met the inclusion criteria, and 8 were evaluable, providing 1563 individual prediction-survival dyads.

Study quality was assessed by using a critical appraisal tool produced by the local health authority. Studies were included if a physician's temporal clinical prediction of survival (CPS) and the actual survival (AS) for terminally ill cancer patients were available for statistical analysis. To systematically review the accuracy of physicians' clinical predictions of survival in terminally ill cancer patients.Ĭochrane Library, Medline (1996-2000), Embase, Current Contents, and Cancerlit databases as well as hand searching.
