Article

Stratified Covariate-Reconstructed Survival (SCRS): Extending Guyot IPD Reconstruction to Preserve Covariate-Outcome Associations for Population- Adjusted Indirect Comparisons

2026-02-27

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Reconstructing individual patient data (IPD) from published Kaplan–Meier curves using the Guyot algorithm is widely used in health technology assessment and network meta-analysis. However, the standard algorithm produces time-to-event data without patient-level covariates, precluding population-adjusted indirect comparisons such as matching-adjusted indirect c...

Topics

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

Identifiers and source

Literature Corpus work: 1eb3c963-58a2-5813-9124-52c865d5084c
DOI: 10.21203/rs.3.rs-8863001/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Stratified Covariate-Reconstructed Survival (SCRS): Extending Guyot IPD Reconstruction to Preserve Covariate-Outcome Associations for Population- Adjusted Indirect ComparisonsDOI 10.21203/rs.3.rs-8863001/v1Read

Propensity-score matching with GAN-generated observations from electronic health records: simulation study and application to the evaluation of prone positioning in COVID-19 patients under mechanical ventilationSemantic proximity Read

Replicate Engineered Virtual Patient Populations as Surrogates for Real Patient-Level DataSemantic proximity Read

Synthesizing multidimensional clinical profiles from published Kaplan–Meier imagesSemantic proximity Read

The R.O.A.D. to clinical trial emulationSemantic proximity Read

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

Modeling strategies for a flexible estimation of the crude cumulative incidence in the context of long follow-ups: model choice and predictive ability evaluationSemantic proximity Read

Generative AI-Based Imputation to Preserve Data Fidelity and Enhance Outcome Prediction: A Multi-Institutional Study in Cardiac SurgerySemantic proximity Read

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk ModellingSemantic proximity Read

When Does IPCW Help? Simulation and Real-World Evidence on Censoring Adjustment in Survival AnalysisSemantic proximity Read

Refined selection of individuals for preventive cardiovascular disease treatment with a Transformer-based risk modelSemantic proximity Read

Derivation and validation of a prognostic model for predicting in-hospital mortality in patients admitted with COVID-19 in Wuhan, China: the PLANS (Platelet Lymphocyte Age Neutrophil Sex) modelSemantic proximity Read

RCT-Twin-GAN Generates Digital Twins of Randomized Control Trials Adapted to Real-world Patients to Enhance their Inference and ApplicationSemantic proximity Read