1
40
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Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
URL Address
<a href="http://doi.org/10.1155/2014/316153" target="_blank" rel="noreferrer noopener">http://doi.org/10.1155/2014/316153</a>
Pages
316153–316153
Volume
2014
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Advances in statistical medicine.
Publisher
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Computational and mathematical methods in medicine
Date
A point or period of time associated with an event in the lifecycle of the resource
2014
1905-07
Subject
The topic of the resource
*Statistics as Topic; Biotechnology/trends; Computers; Decision Trees; Drug Design; Humans; Medical Informatics/*methods; Models; Neoplasms/therapy; Statistical
Creator
An entity primarily responsible for making the resource
Datta Sujay; Xia Xiao-Qin; Bhattacharjee Samsiddhi; Jia Zhenyu
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1155/2014/316153" target="_blank" rel="noreferrer noopener">10.1155/2014/316153</a>
Rights
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Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
*Statistics as Topic
2014
Bhattacharjee Samsiddhi
Biotechnology/trends
Computational and mathematical methods in medicine
Computers
Datta Sujay
Decision Trees
Drug Design
Humans
Jia Zhenyu
Medical Informatics/*methods
Models
Neoplasms/therapy
Statistical
Xia Xiao-Qin
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
URL Address
<a href="http://doi.org/10.1371/journal.pone.0085010" target="_blank" rel="noreferrer noopener">http://doi.org/10.1371/journal.pone.0085010</a>
Pages
e85010–e85010
Issue
1
Volume
9
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Generation of "virtual" control groups for single arm prostate cancer adjuvant trials.
Publisher
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PloS one
Date
A point or period of time associated with an event in the lifecycle of the resource
2014
1905-07
Subject
The topic of the resource
Humans; Male; Middle Aged; Aged; Treatment Outcome; Disease-Free Survival; *Nomograms; *Prostatectomy; Antineoplastic Agents/therapeutic use; Control Groups; Controlled Clinical Trials as Topic; Prostate/drug effects/pathology/surgery; Prostatic Neoplasms/*drug therapy/mortality/pathology/surgery; Neoplasm Recurrence; Chemotherapy; Adjuvant/*methods; Local/*drug therapy/mortality/pathology/surgery
Creator
An entity primarily responsible for making the resource
Jia Zhenyu; Lilly Michael B; Koziol James A; Chen Xin; Xia Xiao-Qin; Wang Yipeng; Skarecky Douglas; Sutton Manuel; Sawyers Anne; Ruckle Herbert; Carpenter Philip M; Wang-Rodriguez Jessica; Jiang Jun; Deng Mingsen; Pan Cong; Zhu Jian-Guo; McLaren Christine E; Gurley Michael J; Lee Chung; McClelland Michael; Ahlering Thomas; Kattan Michael W; Mercola Dan
Description
An account of the resource
It is difficult to construct a control group for trials of adjuvant therapy (Rx) of prostate cancer after radical prostatectomy (RP) due to ethical issues and patient acceptance. We utilized 8 curve-fitting models to estimate the time to 60%, 65%, ... 95% chance of progression free survival (PFS) based on the data derived from Kattan post-RP nomogram. The 8 models were systematically applied to a training set of 153 post-RP cases without adjuvant Rx to develop 8 subsets of cases (reference case sets) whose observed PFS times were most accurately predicted by each model. To prepare a virtual control group for a single-arm adjuvant Rx trial, we first select the optimal model for the trial cases based on the minimum weighted Euclidean distance between the trial case set and the reference case set in terms of clinical features, and then compare the virtual PFS times calculated by the optimum model with the observed PFSs of the trial cases by the logrank test. The method was validated using an independent dataset of 155 post-RP patients without adjuvant Rx. We then applied the method to patients on a Phase II trial of adjuvant chemo-hormonal Rx post RP, which indicated that the adjuvant Rx is highly effective in prolonging PFS after RP in patients at high risk for prostate cancer recurrence. The method can accurately generate control groups for single-arm, post-RP adjuvant Rx trials for prostate cancer, facilitating development of new therapeutic strategies.
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1371/journal.pone.0085010" target="_blank" rel="noreferrer noopener">10.1371/journal.pone.0085010</a>
Rights
Information about rights held in and over the resource
Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
*Nomograms
*Prostatectomy
2014
Adjuvant/*methods
Aged
Ahlering Thomas
Antineoplastic Agents/therapeutic use
Carpenter Philip M
Chemotherapy
Chen Xin
Control Groups
Controlled Clinical Trials as Topic
Deng Mingsen
Disease-Free Survival
Gurley Michael J
Humans
Jia Zhenyu
Jiang Jun
Kattan Michael W
Koziol James A
Lee Chung
Lilly Michael B
Local/*drug therapy/mortality/pathology/surgery
Male
McClelland Michael
McLaren Christine E
Mercola Dan
Middle Aged
Neoplasm Recurrence
Pan Cong
PloS one
Prostate/drug effects/pathology/surgery
Prostatic Neoplasms/*drug therapy/mortality/pathology/surgery
Ruckle Herbert
Sawyers Anne
Skarecky Douglas
Sutton Manuel
Treatment Outcome
Wang Yipeng
Wang-Rodriguez Jessica
Xia Xiao-Qin
Zhu Jian-Guo