KMDATA: A curated database of reconstructed individual patient-level data from 153 oncology clinical trials

Geoffrey Fell, Robert A. Redd, Alyssa M. Vanderbeek, Rifaquat Rahman, Bill Louv, Jon McDunn, Andrea Arfè, Brian M. Alexander, Steffen Ventz, Lorenzo Trippa

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We created a database of reconstructed patient-level data from published clinical trials that includes multiple time-to-event outcomes such as overall survival and progression-free survival. Outcomes were extracted from Kaplan-Meier (KM) curves reported in 153 oncology Phase III clinical trial publications identified through a PubMed search of clinical trials in breast, lung, prostate and colorectal cancer, published between 2014 and 2016. For each trial that met our search criteria, we curated study-level information and digitized all reported KM curves with the software Digitizelt. We then used the digitized KM survival curves to estimate (possibly censored) patient-level time-to-event outcomes. Collections of time-to-event datasets from completed trials can be used to support the choice of appropriate trial designs for future clinical studies. Patient-level data allow investigators to tailor clinical trial designs to diseases and classes of treatments. Patient-level data also allow investigators to estimate the operating characteristics (e.g. power and type I error rate) of candidate statistical designs and methods. Database URL: https://10.6084/m9.figshare.14642247.v1

Original languageEnglish (US)
JournalDatabase
Volume2021
DOIs
StatePublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 The Author(s) 2021. Published by Oxford University Press.

Fingerprint

Dive into the research topics of 'KMDATA: A curated database of reconstructed individual patient-level data from 153 oncology clinical trials'. Together they form a unique fingerprint.

Cite this