Assessing Genitourinary Cancer Clinical Trial Accrual Sufficiency Using Archived Trial Data.


Journal

JCO clinical cancer informatics
ISSN: 2473-4276
Titre abrégé: JCO Clin Cancer Inform
Pays: United States
ID NLM: 101708809

Informations de publication

Date de publication:
07 2020
Historique:
entrez: 16 7 2020
pubmed: 16 7 2020
medline: 1 9 2021
Statut: ppublish

Résumé

Clinical trials often fail to reach their anticipated end points, most frequently because of poor accrual. Prior studies have analyzed trial termination, but it has not been easy to assess accrual estimates using international databases such as ClinicalTrials.gov because of limitations in accessing accrual information. Specifically, it is not easy to extract both anticipated and actual accrual of clinical trials. We designed a new algorithmic approach to extracting trial accrual data from ClinicalTrials.gov and used it to estimate the sufficiency of patient accrual onto genitourinary (GU) cancer trials. We queried ClinicalTrials.gov for completed/terminated phase II and III clinical trials for prostate, bladder, kidney, testicular, and ureteral cancers registered after 2007. We extracted trial characteristics from available XML files. We then used a Python algorithm to access prior trial registrations on the ClinicalTrials.gov archive site and extract both anticipated and actual accrual numbers. We then compared the actual accrual of each trial to its anticipated accrual and defined sufficient accrual as 85% of anticipated accrual. The algorithm was 100% accurate compared with hand extraction in a small validation subset. A total of 925 trials were included, of which 840 (91%) had both anticipated and actual accrual. Only 418 (50%) trials had sufficient accrual (≥ 85% of anticipated). Considering only trials marked as successfully completed, 395/597 (66%) reached sufficient accrual. GU cancer trials often do not meet their anticipated accrual goals. New approaches to trial conduct are direly needed. Our reproducible and scalable approach to extracting accrual information can be applied to analysis of ClinicalTrials.gov in future analyses in the hope of improving the efficiency of the clinical trials enterprise.

Identifiants

pubmed: 32667822
doi: 10.1200/CCI.20.00031
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

614-622

Auteurs

Kristian Stensland (K)

Lahey Hospital and Medical Center, Burlington, MA.

Samuel Kaffenberger (S)

University of Michigan, Ann Arbor, MI.

David Canes (D)

Lahey Hospital and Medical Center, Burlington, MA.

Matthew Galsky (M)

Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.

Ted Skolarus (T)

University of Michigan, Ann Arbor, MI.

Alireza Moinzadeh (A)

Lahey Hospital and Medical Center, Burlington, MA.

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Classifications MeSH