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I am conducting a meta-analysis to compare the differences between Group A and Group B by measuring the pooled Hazard Ratios (HRs) for the median Progression-Free Survival (PFS) and Overall Survival (OS).

While I have accurately calculated the pooled HRs using R, I also intend to present the pooled median values for PFS and OS.

Pooled median values can be calculated with their respective medians and ranges (95% CI or IQR). However, there are limitations due to studies in which the range of median values cannot be available. I am curious if there are methods to estimate the median values and ranges using techniques such as Kaplan-Meier curves or HRs from each study.

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  • $\begingroup$ Note that nonparametric estimates of difference in medians are very inefficient so confidence intervals are wide. $\endgroup$ Aug 19, 2023 at 16:40

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I am not aware of meta-analysis of median survival. There are some approaches that meta-analyze the ratio of medians, under the (questionable) assumption that this ratio approximates the hazard ratio.

If you want to obtain a "pooled" median (for group A), you will need two ingredients:

  1. reference survival function (very well characterized population with individuals treated/exposed to B - it can be a pragmatic trial, large cohort study with good representativeness and low risk of bias).
  2. summary HR from your meta-analysis.

You will basically convert the survival function from the reference population into a hazard function, and then multiply the hazard function by the summary HR, and convert it back to survival function.

For more details, check this question:

Is it possible to apply a hazard ratio estimated from one survival distribution to another

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