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Vol. 45 (5): 901909, September October, 2019REVIEW ARTICLEd oi: 10.1590/S16775538.IBJU.2019.0061Association between calcining receptor gene polymorphisms and calcium stone urolithiasis: A meta analysis ___ Japan
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Determine the effect size and confidence interval for each study included in the forest plot.
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Arrange the studies in descending order based on the effect size.
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Draw a vertical line representing the null effect (usually a line at 0 on the x-axis).
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Plot the effect size and confidence interval for each study as a horizontal line or rectangle, centered around the effect size point estimate.
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Include the study name or identifier next to each horizontal line or rectangle.
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Add a diamond-shaped marker to represent the overall pooled effect size, if applicable.
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Interpret the forest plot by assessing the spread of the confidence intervals and the overall pattern of the results.

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Researchers conducting a meta-analysis.
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Medical professionals evaluating the effectiveness of treatments.
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Students learning about evidence-based practice and research synthesis.
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Forest plot with a is a graphical display that shows the results of individual studies or data sets, along with an overall summary estimate.
Researchers, scientists, or analysts conducting meta-analyses or systematic reviews are required to create and include forest plots with their research findings.
To fill out a forest plot with a, the results of individual studies or data sets should be inputted, along with the overall summary estimate and confidence intervals.
The purpose of a forest plot with a is to visually display the results and variability of multiple studies or data sets on a common outcome or effect size.
The forest plot with a should include the results of individual studies, the summary estimate, confidence intervals, and possibly other relevant statistics.
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