Back to search

Article

A Kaplan–Meier point picker with genetic optimization enables constraint-rich individual patient data reconstruction for multicenter meta-analysis

2026-06-09

Abstract excerpt

<title>Abstract</title> <p>Individual patient data (IPD) enable survival analysis and meta-analysis across multicenter studies, supporting evidence-based decision-making and trial design. However, openly available IPD remain scarce, and existing tools that reconstruct IPD from published Kaplan–Meier (KM) curves rely on labor-intensive, error-prone point extraction and exploit only limited subsets of reported info...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4a414c8e-4cb5-51b0-a825-1314fc8e73d5
DOI
10.21203/rs.3.rs-8789849/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Kaplan–Meier point picker with genetic optimization enables constraint-rich individual patient data reconstruction for multicenter meta-analysisDOI 10.21203/rs.3.rs-8789849/v1
Select a neighboring publication to make it the new centre.