ArticleBMC cancer2005
The development of common data elements for a multi-institute prostate cancer tissue bank: the Cooperative Prostate Cancer Tissue Resource (CPCTR) experience.
Article in BMC cancer, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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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.
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Who cites it
29 citing papers in PubMed, 47 citations in OpenAlex.
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- Methods Used in the Development of Common Data Models for Health Data: Scoping Review.JMIR medical informatics · 2023Article
- Morocco's First Biobank: Establishment, Ethical Issues, Biomedical Research Opportunities, and Challenges.BioMed research international · 2020Article
- Unleashing the value of Common Data Elements through the CEDAR Workbench.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Embracing an integromic approach to tissue biomarker research in cancer: Perspectives and lessons learned.Briefings in bioinformatics · 2017Article
- Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images.Journal of pathology informatics · 2016Article
- Unifying screening processes within the PROSPR consortium: a conceptual model for breast, cervical, and colorectal cancer screening.Journal of the National Cancer Institute · 2015Article
- Enhancing electronic health records to support clinical research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- Automated Tools for Clinical Research Data Quality Control using NCI Common Data Elements.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria.Journal of biomedical informatics · 2013Article
- Designing a minimum data set for breast cancer: a starting point for breast cancer registration in iran.Iranian journal of public health · 2013Article
- Leveraging EHR data for outcomes and comparative effectiveness research in oncology.Current oncology reports · 2012Article
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- Proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database.Journal of clinical bioinformatics · 2011Article
- Design and utilization of the colorectal and pancreatic neoplasm virtual biorepository: An early detection research network initiative.Journal of pathology informatics · 2010Article
- A decade of experience in the development and implementation of tissue banking informatics tools for intra and inter-institutional translational research.Journal of pathology informatics · 2010Article
- The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data.Journal of pathology informatics · 2010Article
- A Collaborative Framework for Representation and Harmonization of Clinical Study Data Elements Using Semantic MediaWiki.Summit on translational bioinformatics · 2010Article
- IT Infrastructure Components for Biobanking.Applied clinical informatics · 2010Article
Corrections and comments
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Authors and funding
11 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundThe Cooperative Prostate Cancer Tissue Resource (CPCTR) is a consortium of four geographically dispersed institutions that are funded by the U.S. National Cancer Institute (NCI) to provide clinically annotated prostate cancer tissue samples to researchers. To facilitate this effort, it was critical to arrive at agreed upon common data elements (CDEs) that could be used to collect demographic, pathologic, treatment and clinical outcome data.
methodsThe CPCTR investigators convened a CDE curation subcommittee to develop and implement CDEs for the annotation of collected prostate tissues. The draft CDEs were refined and progressively annotated to make them ISO 11179 compliant. The CDEs were implemented in the CPCTR database and tested using software query tools developed by the investigators.
resultsBy collaborative consensus the CPCTR CDE subcommittee developed 145 data elements to annotate the tissue samples collected. These included for each case: 1) demographic data, 2) clinical history, 3) pathology specimen level elements to describe the staging, grading and other characteristics of individual surgical pathology cases, 4) tissue block level annotation critical to managing a virtual inventory of cases and facilitating case selection, and 5) clinical outcome data including treatment, recurrence and vital status. These elements have been used successfully to respond to over 60 requests by end-users for tissue, including paraffin blocks from cases with 5 to 10 years of follow up, tissue microarrays (TMAs), as well as frozen tissue collected prospectively for genomic profiling and genetic studies. The CPCTR CDEs have been fully implemented in two major tissue banks and have been shared with dozens of other tissue banking efforts.
conclusionThe freely available CDEs developed by the CPCTR are robust, based on "best practices" for tissue resources, and are ISO 11179 compliant. The process for CDE development described in this manuscript provides a framework model for other organ sites and has been used as a model for breast and melanoma tissue banking efforts.
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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.