1. Role of coculture in human in vitro fertilization: a meta-analysis
Namita Kattal, M.D., Jerry Cohen, M.S., M.P.H., Larry I. Barmat, M.D. 
Fertility and Sterility 
Volume 90, Issue 4, Pages (October 2008)
DOI: /j.fertnstert
Copyright © 2008 American Society for Reproductive Medicine Terms and Conditions

2. Figure 1
Forest plot to evaluate the effect of coculture on implantation rates, clinical pregnancy rates, and ongoing pregnancy rates. Explanation/interpretation of the variables and the forest plot: [1] Rate 1 is the proportion of successes (either implantations or clinical or ongoing pregnancies) with coculture; [2] Rate 2 is the proportion of successes (either implantations or clinical or ongoing pregnancies) with control; [3] Effect is calculated as Rate 1 − Rate 2. Note that for “Number of Blastomeres per Embryo” (Fig. 2), the Effect is the standardized mean for coculture minus the standardized mean for the control; [4] Lower and Upper represent the 95% confidence interval for the Effect; [5] N Total is the total sample size for that outcome; and [6] PValue is the P value used to assess the significance of the coculture effect on the outcome. If the Effect is greater than 0 and the P value is <.05, then there is statistically significant evidence of a beneficial coculture impact on fertility markers.
Fertility and Sterility  , DOI: ( /j.fertnstert )
Copyright © 2008 American Society for Reproductive Medicine Terms and Conditions

3. Figure 2
Forest plot to evaluate the effect of effect of coculture on number of blastomeres per embryo. See Fig. 1 caption for an explanation of forest plot variables.
Fertility and Sterility  , DOI: ( /j.fertnstert )
Copyright © 2008 American Society for Reproductive Medicine Terms and Conditions

4. Figure 3
Trends in coculture studies (CC studies) and coculture prospective randomized trials (CC PRT) by year, 1989–2006.
Fertility and Sterility  , DOI: ( /j.fertnstert )
Copyright © 2008 American Society for Reproductive Medicine Terms and Conditions