Comparative efficacy of docetaxel versus novel hormonal agent in de novo metastatic hormone-sensitive prostate cancer: Real-world data curated by deidentified chart abstraction.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e17047-e17047
Author(s):  
Bobby Chi-Hung Liaw ◽  
Sunny Guin ◽  
Tomi Jun ◽  
Kristin Ayers ◽  
Bonny Patel ◽  
...  

e17047 Background: The addition of docetaxel or a novel hormonal agent (NHA), such as abiraterone acetate or enzalutamide, has become standard of care for mHSPC, but prospective data for comparative efficacy remains limited. Clinical variables abstracted through natural language processing of free text from patient charts can provide real-world data to answer important clinical questions. Methods: Using an innovative data abstraction process, we retrospectively identified men with de novo mHSPC within deidentified charts from the Mount Sinai Health System treated with either docetaxel or a NHA between January 1, 2014 and April 30, 2019. Dates were chosen to reflect the timeline for which these therapeutic agents received regulatory approval for mHSPC, but also to allow sufficient clinical follow up after treatment initiation. Primary outcome of failure-free survival (FFS), defined as the time to next treatment, was assessed using the Kaplan-Meier method and multivariable Cox proportional hazards models. We additionally performed multivariable analysis to evaluate the prognostic significance of post-treatment PSA nadir on FFS. Results: A total of 94 de novo mHSPC patients that received either docetaxel or an NHA were identified using proprietary Sema4 data abstraction process: 52 received docetaxel, 42 received an NHA. Use of an upfront NHA in mHSPC was associated with a significantly longer FFS compared to docetaxel (20.7 vs. 10.1 months, p = 0.023). While NHAs were associated with a significantly longer FFS than docetaxel in patients with high metastatic burden of disease (25.12 vs. 9.63 months, p = 0.014), this was not observed in low-volume disease (20.71 vs. 26.5 months, p = 0.9). In multivariable model analysis adjusting for age, baseline PSA, and metastasis burden, docetaxel remains independently associated with worse FFS compared to NHA (HR 1.96, 95% CI 1.12−3.45, p = 0.019). Irrespective of docetaxel or NHA use, lower post-treatment PSA nadir levels were associated with improved FFS (58.95 vs. 11.57 vs. 9.4 months for PSA ≤0.2, 0.2-0.4, > 0.4ng/ml, respectively; p < 0.001). Conclusions: Clinical variables abstracted from deidentified clinical documentation can efficiently provide relevant and reliable data upon which clinical research can be based. Comparative analysis of real-world data demonstrates superior FFS in de novo mHSPC treated with a NHA as compared to docetaxel. The depth of PSA response holds prognostic value for mHSPC outcomes, regardless of treatment used.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e13029-e13029
Author(s):  
Fernando Pikabea ◽  
Borja Lopez De San Vicente ◽  
Elena Galve Calvo ◽  
Juan Fernando Arango ◽  
Ane Zumarraga ◽  
...  

2020 ◽  
Vol 29 (01) ◽  
pp. 203-207
Author(s):  
Christel Daniel ◽  
Dipak Kalra ◽  

Objectives: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2019. Method: A bibliographic search using a combination of MeSH descriptors and free-text terms on CRI was performed using PubMed, followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. After peer-review ranking, a consensus meeting between the two section editors and the editorial team was organized to finally conclude on the selected three best papers. Results: Among the 517 papers, published in 2019, returned by the search, that were in the scope of the various areas of CRI, the full review process selected three best papers. The first best paper describes the use of a homomorphic encryption technique to enable federated analysis of real-world data while complying more easily with data protection requirements. The authors of the second best paper demonstrate the evidence value of federated data networks reporting a large real world data study related to the first line treatment for hypertension. The third best paper reports the migration of the US Food and Drug Administration (FDA) adverse event reporting system database to the OMOP common data model. This work opens the combined analysis of both spontaneous reporting system and electronic health record (EHR) data for pharmacovigilance. Conclusions: The most significant research efforts in the CRI field are currently focusing on real world evidence generation and especially the reuse of EHR data. With the progress achieved this year in the areas of phenotyping, data integration, semantic interoperability, and data quality assessment, real world data is becoming more accessible and reusable. High quality data sets are key assets not only for large scale observational studies or for changing the way clinical trials are conducted but also for developing or evaluating artificial intelligence algorithms guiding clinical decision for more personalized care. And lastly, security and confidentiality, ethical and regulatory issues, and more generally speaking data governance are still active research areas this year.


2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  

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