ArticleCancer informatics2014
Trial prospector: matching patients with cancer research studies using an automated and scalable approach.
Article in Cancer informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review on natural language processing systems for eligibility prescreening in clinical research.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- "The Truth Is, We Must Miss Some": A Qualitative Study of the Patient Eligibility Screening Process, and Automation Perspectives, for Cancer Clinical Trials.Cancer medicine · 2024Article
- Searching of Clinical Trials Made Easier in cBioPortal Using Patients' Genetic and Clinical Profiles.Applied clinical informatics · 2022Article
- Landscape Analysis of Breast Cancer and Acute Myeloid Leukemia Trials Using the My Cancer Genome Clinical Trial Data Model.JCO clinical cancer informatics · 2021Article
- Analysis of Not Structurable Oncological Study Eligibility Criteria for Improved Patient-Trial Matching.Methods of information in medicine · 2021Article
- Learnings From Precision Clinical Trial Matching for Oncology Patients Who Received NGS Testing.JCO clinical cancer informatics · 2021Article
- A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes.PeerJ. Computer science · 2021Article
- Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients.JAMIA open · 2020Article
- The My Cancer Genome clinical trial data model and trial curation workflow.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map.Trials · 2020Review
- Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow.JCO clinical cancer informatics · 2019Article
- Next-Generation Sequencing and the Clinical Oncology Workflow: Data Challenges, Proposed Solutions, and a Call to Action.JCO precision oncology · 2019Review
- Premature Clinical Trial Discontinuation in the Era of Immune Checkpoint Inhibitors.The oncologist · 2018Article
- Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Optimizing Enrollment of Patients into Nephrology Research Studies.Clinical journal of the American Society of Nephrology : CJASN · 2016Article
- Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.BMC medical informatics and decision making · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Cancer is responsible for approximately 7.6 million deaths per year worldwide. A 2012 survey in the United Kingdom found dramatic improvement in survival rates for childhood cancer because of increased participation in clinical trials. Unfortunately, overall patient participation in cancer clinical studies is low. A key logistical barrier to patient and physician participation is the time required for identification of appropriate clinical trials for individual patients. We introduce the Trial Prospector tool that supports end-to-end management of cancer clinical trial recruitment workflow with (a) structured entry of trial eligibility criteria, (b) automated extraction of patient data from multiple sources, (c) a scalable matching algorithm, and (d) interactive user interface (UI) for physicians with both matching results and a detailed explanation of causes for ineligibility of available trials. We report the results from deployment of Trial Prospector at the National Cancer Institute (NCI)-designated Case Comprehensive Cancer Center (Case CCC) with 1,367 clinical trial eligibility evaluations performed with 100% accuracy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.