Improve my Forest plot for subgroup analysis (not for meta-analysis)?

Currently my forest plots for subgroup analysis (not for meta-analysis) in R are like the following...

library("dplyr")
library(ggplot2)
library(survminer)
library(survival)
library(forestmodel)

pretty_lung <- lung %>%
  transmute(time,
            status,
            Age = age,
            Sex = factor(sex, labels = c("Male", "Female")),
            ECOG = factor(lung$ph.ecog),
            `Meal Cal` = meal.cal)

print(forest_model(coxph(Surv(time, status) ~ ., pretty_lung)))

r forstplot

However, the sizes/heights of the squares are not proportional to the subgroup sample size. Is there a way to fix that (as in this example: DEFINE_ME)?

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