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A Method for Assessing Accurate Application of the Partin Tables in the Pre - therapy evaluation of Patients with Prostate Cancer (Record no. 7087)

MARC details
000 -LEADER
fixed length control field 01871 am a2200193 4500
001 - CONTROL NUMBER
control field 1824
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Terms of availability 0.00
040 ## - CATALOGING SOURCE
Original cataloging agency Clinical Oncology, Volume. 17, Pages 659 - 662, 2005.
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number PUBLICATIONS ARCHIVE ARMS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kelleher, F.C.
9 (RLIN) 32786
245 ## - TITLE STATEMENT
Title A Method for Assessing Accurate Application of the Partin Tables in the Pre - therapy evaluation of Patients with Prostate Cancer
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2005.
490 ## - SERIES STATEMENT
Series statement Staff Publications
Volume/sequential designation Staff Publications- Armstrong, John
500 ## - GENERAL NOTE
General note The print version of this article is held in the Oncology Resource Centre.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Aims: The treatment of prostate cancer is frequently influenced by the Partin Tables. This predictive model has been internally and externally validated since it was conceived, and has proved to be remarkably reliable andconsistent. This paper proposes that, by using the statistical programme for the social sciences (SPSS) and receiver-operator characteristic curves, it is possible to detect institutions that apply this model sub-optimally. Materials and methods: This theory was supported by a PUBMED search using relevant search words. Results: This is a novel technique with the potential to allow retrospective and prospective accrual of results. Conclusions: A systematic institutional review of how accurately a hospital assesses the clinical stage, Gleason score and PSA has the potential to increase an institution's predictive accuracy when it uses the Partin Tables. The proposed method allows for quantitation of the level of error and comparison of predictive accuracy between institutions. It also may be used as an internal outcome measure to assess improvement in a hospital's investigative procedures over time.
9 (RLIN) 34684
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Armstrong, John, G.
9 (RLIN) 32546
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element ST. LUKE'S PUBLICATION ARCHIVE
9 (RLIN) 32511
883 ## - MACHINE-GENERATED METADATA PROVENANCE
-- 32175
-- Thomas Veale
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
Not Withdrawn Not Lost Not Damaged Available for Loan St. Luke’s Radiation Oncology Network Dublin St. Luke’s Radiation Oncology Network Dublin AR 14/05/2018 0.00   PUBLICATIONS ARCHIVE ARMS 39015000015175 14/05/2018 14/05/2018 2 Week Loan