From: Practical methods for incorporating summary time-to-event data into meta-analysis: updated guidance
• Agree KM curve method in advance of data extraction |
- Choose to use the KM curve and information on follow-up (Scenario 12) |
- Choose to use the KM curve and numbers at risk (Scenario 13) |
- Choose to use both KM methods (e.g., for comparison) |
- But allow flexibility to deviate if specific issues arise (e.g., zero events in an arm or too few intervals with numbers at risk) |
• For Scenario 12, agree on the time intervals in advance of data extraction |
- Select intervals guided by the shape of the KM curve (i.e., the event rates), rather than at regular time points |
- Select more time intervals where more events have occurred (i.e., the curves are steeper). Aim to include not more than a 15% event rate in an interval |
- Select fewer intervals where fewer events have occurred (i.e., the curves are flatter). Aim to include at least a 5% event rate in an interval |
- Avoid time intervals with zero events in one or both arms—make the time interval larger to avoid this |
• For Scenario 13, select only time intervals that have accompanying numbers at risk |
• For both scenarios, avoid extracting data at time points where few or no events have occurred (i.e., the curves have leveled out) |
• Duplicate or cross-check data extracted by another researcher |