Mean & SD to % & number

Here are the calculaters to impute the proportion and number of responders (or remitters) from the mean and stanrdar deviation, assuming the normal distribution. This method has been developed using depression and anxiety meta-analyses (Furukawa TA et al., 2005) and validated with schizophrenia dataset (Samara et al., 2013) and insomnia dataset (Furukawa Y et al., 2024).

For example, if the upper limit of the normal range is 12 (say, the half the baseline HAM-D mean) and the number of patients in the group is 98 and the endpoint mean and SD of HAM-D is 15 and 6, then 30.8% of the group should be below 12 under the normal distribution assumption. Rounding the numbers you get 30 persons under 12.

Negative outcomes

Positive outcomes

Some outcomes measure positive outcomes, with larger numbers meaning better outcomes (e.g., WHO-5, GAF, sleep efficiency). Below are the calculators for such outcomes.

In some cases, the change score is expressed in this direction. For example, 10-point improvement in PANSS is actually a decrease in PANSS, but can be expressed in a positive way. If the average change is 10 (SD=5), and you know that the change has to be greater than 8 in order to have 50% or greater change from baseline (because the baseline score is 16), then you enter 98 for the number of patients and 10 for the observed mean and 5 for SD, and 8 for the lower limit of the normal range. Then the number of patients responding is 64.

Reference

Furukawa TA, Cipriani A, Barbui C, Brambilla P, Watanabe N. Imputing response rates from means and standard deviations in meta-analyses. Int Clin Psychopharmacol. 2005;20(1):49-52. doi:10.1097/00004850-200501000-00010

Samara MT, Spineli LM, Furukawa TA, et al. Imputation of response rates from means and standard deviations in schizophrenia. Schizophr Res. 2013;151(1-3):209-214. doi:10.1016/j.schres.2013.10.029

Furukawa Y, Sakata M, Yamamoto R, et al. Components and Delivery Formats of Cognitive Behavioral Therapy for Chronic Insomnia in Adults: A Systematic Review and Component Network Meta-Analysis. JAMA Psychiatry. 2024;81(4):357-365. doi:10.1001/jamapsychiatry.2023.5060

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