Evidence map›Paper›PMID 16111498›Full record

ArticleBMC cancer2005

The development of common data elements for a multi-institute prostate cancer tissue bank: the Cooperative Prostate Cancer Tissue Resource (CPCTR) experience.

Ashokkumar A Patel, André Kajdacsy-Balla, Jules J Berman, Maarten Bosland, Milton W Datta, Rajiv Dhir, John Gilbertson, Jonathan Melamed, Jan Orenstein, Kuei-Fang Tai and 1 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Unleashing the value of Common Data Elements through the CEDAR Workbench.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  6. Article
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  9. Enhancing electronic health records to support clinical research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
  10. 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 · 2014
    Article
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  19. Article
  20. IT Infrastructure Components for Biobanking.Applied clinical informatics · 2010
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 1 country.

Ashokkumar A PatelDepartment of Pathology, Center for Pathology Informatics, Benedum Oncology Informatics Center, University of Pittsburgh, Pittsburgh, PA, USA. patelaa@upmc.edu
André Kajdacsy-Balla
Jules J Berman
Maarten Bosland
Milton W Datta
Rajiv Dhir
John Gilbertson
Jonathan Melamed
Jan Orenstein
Kuei-Fang Tai
Michael J Becich
University of Pittsburgh · USNew York University · USEmory University · USGeorge Washington University · USMedical College of Wisconsin · USNational Cancer Institute · USUniversity of Illinois Chicago · USUniversity of Pittsburgh Medical Center · US

Funding

A SHARED TISSUE RESOURCE FOR THE MOLECULAR CLASSIFACTIONU01CA086735 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECICH, MICHAEL JOHN · 2000 to 2005
$3.3M
NYU COOPERATIVE PROSTATE CANCER TISSUE RESOURCEU01CA086772 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MELAMED, JONATHAN · 2000 to 2005
$2.4M
MID ATLANTIC PROSTATE CANCER BANKU01CA086739 · NCI · GEORGE WASHINGTON UNIVERSITY · PI ORENSTEIN, JAN M · 2000 to 2004
$2.4M
FACILITATING DISCOVERY THROUGH A HUMAN PROSTATE TISSUE RU01CA086743 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KAJDACSY-BALLA, ANDRE A · 2000 to 2004
$2.2M
SHARED RESOURCES--MUTAGENESISP30CA013343 · NCI · NEW YORK UNIVERSITY · PI UPTON, ARTHUR C · 1985 to 1994
–
NCI NIH HHS P30 CA13343NCI NIH HHS U01 CA086735NCI NIH HHS U01 CA086739NCI NIH HHS U01 CA086743NCI NIH HHS U01 CA086772NCI NIH HHS U01 CA86735NCI NIH HHS U01 CA86739NCI NIH HHS U01 CA86743NCI NIH HHS U01 CA86772
6 · The paper itself

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.

Indexed as

Databases as TopicTissue BanksComputational BiologyComputersHumansMaleProstatic NeoplasmsRecurrenceSoftwareTreatment Outcome

Identifiers

PMID16111498
PMCPMC1236914
OpenAlexW1761151839

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.