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1. Layout

2. Title and axis

3. Size parameters

4. Type of measure used

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1. Error messages.
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2. Problematic rows in your dataset.
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1. Number of studies


2. Number of participants


3. Number of cases


4. P-value of the random-effects meta-analysis


5. Inconsistency (I²)


6. Imprecision (power of the meta-analysis)


7. Percentage of individuals in studies at low risk of bias


8. Methodological quality of the meta-analysis (AMSTAR score)


9. P-value of the Egger's test for publication bias


10. P-value of the test for excess of significance bias


11. Largest p-value in the Jackknife meta-analysis.


12. 95% prediction interval


13. 95% confidence interval of the largest study