KMDATA: a curated database of reconstructed individual patient-level data from 153 oncology clinical trials.
Journal
Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697
Informations de publication
Date de publication:
26 06 2021
26 06 2021
Historique:
received:
09
03
2021
revised:
24
05
2021
accepted:
27
05
2021
pubmed:
26
6
2021
medline:
29
10
2021
entrez:
25
6
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34169314
pii: 6309184
doi: 10.1093/database/baab037
pmc: PMC8234134
pii:
doi:
Banques de données
figshare
['10.6084/m9.figshare.14642247.v1']
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NLM NIH HHS
ID : R01 LM013352
Pays : United States
Organisme : NIH HHS
ID : 1R01LM013352-01A1
Pays : United States
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press.
Références
Oncologist. 2015 May;20(5):464-e20
pubmed: 25876994
Clin Cancer Res. 2019 Nov 1;25(21):6339-6345
pubmed: 31345838
Health Aff (Millwood). 2018 May;37(5):765-772
pubmed: 29733723
JCO Clin Cancer Inform. 2018 Dec;2:1-7
pubmed: 30652539
J Clin Oncol. 2015 Jan 10;33(2):141-8
pubmed: 25185099
JAMA. 2018 Sep 4;320(9):867-868
pubmed: 30105359
Clin Cancer Res. 2019 Aug 15;25(16):4993-5001
pubmed: 31175098
Biometrics. 2021 Jun;77(2):587-598
pubmed: 32535892
J Clin Oncol. 2012 Sep 10;30(26):3258-63
pubmed: 22649140
Future Oncol. 2018 Jan;14(1):5-8
pubmed: 29052448
BMC Med Res Methodol. 2012 Feb 01;12:9
pubmed: 22297116
N Engl J Med. 2016 Aug 4;375(5):403-5
pubmed: 27518657
Clin Cancer Res. 2019 Dec 15;25(24):7281-7286
pubmed: 31527164
Nat Commun. 2021 Feb 5;12(1):801
pubmed: 33547324
Lancet Oncol. 2015 Jul;16(7):763-74
pubmed: 26045340
Ann Oncol. 2015 Oct;26(10):2066-72
pubmed: 26153496
N Engl J Med. 2018 Mar 22;378(12):1158-1159
pubmed: 29562148
J Clin Oncol. 2014 Aug 1;32(22):2380-5
pubmed: 24982461