Assessment of a prognostic model, PSA metrics and toxicities in metastatic castrate resistant prostate cancer using data from Project Data Sphere (PDS)
Publication Date
February 02, 2017
Authors
Bethany Pitcher, Leila Khoja, Robert J. Hamilton, Kald Abdallah, et al
Volume
12
Issue
2
Pages
e0170544
DOI
https://dx.plos.org/10.1371/journal.pone.0170544
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0170544
Web of Science
000396161200026
Scopus
85011339681
Mendeley
http://www.mendeley.com/research/assessment-prognostic-model-psa-metrics-toxicities-metastatic-castrate-resistant-prostate-cancer-usi
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Mendeley | Further Information

{"title"=>"Assessment of a prognostic model, PSA metrics and toxicities in metastatic castrate resistant prostate cancer using data from Project Data Sphere (PDS)", "type"=>"journal", "authors"=>[{"first_name"=>"Bethany", "last_name"=>"Pitcher", "scopus_author_id"=>"57190172988"}, {"first_name"=>"Leila", "last_name"=>"Khoja", "scopus_author_id"=>"54946228600"}, {"first_name"=>"Robert J.", "last_name"=>"Hamilton", "scopus_author_id"=>"7402615891"}, {"first_name"=>"Kald", "last_name"=>"Abdallah", "scopus_author_id"=>"6602420111"}, {"first_name"=>"Melania", "last_name"=>"Pintilie", "scopus_author_id"=>"7004529518"}, {"first_name"=>"Anthony M.", "last_name"=>"Joshua", "scopus_author_id"=>"56541177200"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"28151974", "issn"=>"19326203", "scopus"=>"2-s2.0-85011339681", "pui"=>"614278896", "doi"=>"10.1371/journal.pone.0170544", "sgr"=>"85011339681"}, "id"=>"adb9f147-99e0-351d-8d12-c68da1e4cffd", "abstract"=>"BACKGROUND: Prognostic models in metastatic castrate resistant prostate cancer (mCRPC) may have clinical utility. Using data from PDS, we aimed to 1) validate a contemporary prognostic model (Templeton et al., 2014) 2) evaluate prognostic impact of concomitant medications and PSA decrease 3) evaluate factors associated with docetaxel toxicity. METHODS: We accessed data on 2,449 mCRPC patients in PDS. The existing model was validated with a continuous risk score, time-dependent receiver operating characteristic (ROC) curves, and corresponding time-dependent Area under the Curve (tAUC). The prognostic effects of concomitant medications and PSA response were assessed by Cox proportional hazards models. One year tAUC was calculated for multivariable prognostic model optimized to our data. Conditional logistic regression models were used to assess associations with grade 3/4 adverse events (G3/4 AE) at baseline and after cycle 1 of treatment. RESULTS: Despite limitations of the PDS data set, the existing model was validated; one year AUC, was 0.68 (95% CI 95% CI, .66 to .71) to 0.78 (95%CI, .74 to .81) depending on the subset of datasets used. A new model was constructed with an AUC of .74 (.72 to .77). Concomitant medications low molecular weight heparin and warfarin were associated with poorer survival, Metformin and Cox2 inhibitors were associated with better outcome. PSA response was associated with survival, the effect of which was greatest early in follow-up. Age was associated with baseline risk of G3/4 AE. The odds of experiencing G3/4 AE later on in treatment were significantly greater for subjects who experienced a G3/4 AE in their first cycle (OR 3.53, 95% CI 2.53-4.91, p < .0001). CONCLUSION: Despite heterogeneous data collection protocols, PDS provides access to large datasets for novel outcomes analysis. In this paper, we demonstrate its utility for validating existing models and novel model generation including the utility of concomitant medications in outcome analyses, as well as the effect of PSA response on survival and toxicity prediction.", "link"=>"http://www.mendeley.com/research/assessment-prognostic-model-psa-metrics-toxicities-metastatic-castrate-resistant-prostate-cancer-usi", "reader_count"=>5, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Researcher"=>1, "Student > Doctoral Student"=>1, "Student > Postgraduate"=>1, "Student > Master"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Researcher"=>1, "Student > Doctoral Student"=>1, "Student > Postgraduate"=>1, "Student > Master"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>2, "Agricultural and Biological Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>0}

Scopus | Further Information

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