What question did this study set out to answer?

To introduce and demonstrate ipdfc, a software command designed to reconstruct individual-level time-to-event data directly from published Kaplan–Meier curves.

January 1, 2017Open Access

Reconstructing time-to-event data from published Kaplan–Meier curves

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To introduce and demonstrate ipdfc, a software command designed to reconstruct individual-level time-to-event data directly from published Kaplan–Meier curves.
Extended curve digitizing approaches beyond hazard-ratio approximation to generate individual patient data (IPD).
Implemented the mathematical reconstruction algorithm into a dedicated software command called ipdfc.
Demonstrated the application and syntax of the command using illustrative examples from published literature.
The ipdfc command successfully extracts and reconstructs granular time-to-event datasets from digitized Kaplan–Meier curve coordinates.
Provided practical, reproducible workflows demonstrating how reconstructed individual data can enable re-analyses when raw clinical trial data are unavailable.

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Implication

Methodological report introduces a tool to reconstruct individual-level survival data from published curves, facilitating secondary analyses across medical literature.

Cite This Study

Wei et al. (2017) studied this question.

synapsesocial.com/papers/6a16af4db082e78ad77b76df https://doi.org/10.22004/ag.econ.340230

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Implication

Methodological report introduces a tool to reconstruct individual-level survival data from published curves, facilitating secondary analyses across medical literature.

Reconstructing time-to-event data from published Kaplan–Meier curves

Key Points

Discussion

Implication

Cite This Study

Reconstructing time-to-event data from published Kaplan–Meier curves

Key Points

Discussion

Implication

Cite This Study

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