Cargando…

A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer

BACKGROUND: Detailed epidemiologic descriptions of large populations of advanced stage ovarian cancer patients have been lacking to date. This study aimed to describe the patient characteristics, treatment patterns, survival, and incidence rates of health outcomes of interest (HOI) in a large cohort...

Descripción completa

Detalles Bibliográficos
Autores principales: Beachler, Daniel C., Lamy, Francois-Xavier, Russo, Leo, Taylor, Devon H., Dinh, Jade, Yin, Ruihua, Jamal-Allial, Aziza, Dychter, Samuel, Lanes, Stephan, Verpillat, Patrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461260/
https://www.ncbi.nlm.nih.gov/pubmed/32867806
http://dx.doi.org/10.1186/s13048-020-00691-y
_version_ 1783576733735190528
author Beachler, Daniel C.
Lamy, Francois-Xavier
Russo, Leo
Taylor, Devon H.
Dinh, Jade
Yin, Ruihua
Jamal-Allial, Aziza
Dychter, Samuel
Lanes, Stephan
Verpillat, Patrice
author_facet Beachler, Daniel C.
Lamy, Francois-Xavier
Russo, Leo
Taylor, Devon H.
Dinh, Jade
Yin, Ruihua
Jamal-Allial, Aziza
Dychter, Samuel
Lanes, Stephan
Verpillat, Patrice
author_sort Beachler, Daniel C.
collection PubMed
description BACKGROUND: Detailed epidemiologic descriptions of large populations of advanced stage ovarian cancer patients have been lacking to date. This study aimed to describe the patient characteristics, treatment patterns, survival, and incidence rates of health outcomes of interest (HOI) in a large cohort of advanced stage ovarian cancer patients in the United States (US). METHODS: This cohort study identified incident advanced stage (III/IV) ovarian cancer patients in the US diagnosed from 2010 to 2018 in the HealthCore Integrated Research Database (HIRD) using a validated predictive model algorithm. Descriptive characteristics were presented overall and by treatment line. The incidence rates and 95% confidence intervals for pre-specified HOIs were evaluated after advanced stage diagnosis. Overall survival, time to treatment discontinuation or death (TTD), and time to next treatment or death (TTNT) were defined using treatment information in claims and linkage with the National Death Index. RESULTS: We identified 12,659 patients with incident advanced stage ovarian cancer during the study period. Most patients undergoing treatment received platinum agents (75%) and/or taxanes (70%). The most common HOIs (> 24 per 100 person-years) included abdominal pain, nausea and vomiting, anemia, and serious infections. The median overall survival from diagnosis was 4.5 years, while approximately half of the treated cohort had a first-line time to treatment discontinuation or death (TTD) within the first 4 months, and a time to next treatment or death (TTNT) from first to second-line of about 6 months. CONCLUSIONS: This study describes commercially insured US patients with advanced stage ovarian cancer from 2010 to 2018, and observed diverse treatment patterns, incidence of numerous HOIs, and limited survival in this population.
format Online
Article
Text
id pubmed-7461260
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74612602020-09-02 A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer Beachler, Daniel C. Lamy, Francois-Xavier Russo, Leo Taylor, Devon H. Dinh, Jade Yin, Ruihua Jamal-Allial, Aziza Dychter, Samuel Lanes, Stephan Verpillat, Patrice J Ovarian Res Research BACKGROUND: Detailed epidemiologic descriptions of large populations of advanced stage ovarian cancer patients have been lacking to date. This study aimed to describe the patient characteristics, treatment patterns, survival, and incidence rates of health outcomes of interest (HOI) in a large cohort of advanced stage ovarian cancer patients in the United States (US). METHODS: This cohort study identified incident advanced stage (III/IV) ovarian cancer patients in the US diagnosed from 2010 to 2018 in the HealthCore Integrated Research Database (HIRD) using a validated predictive model algorithm. Descriptive characteristics were presented overall and by treatment line. The incidence rates and 95% confidence intervals for pre-specified HOIs were evaluated after advanced stage diagnosis. Overall survival, time to treatment discontinuation or death (TTD), and time to next treatment or death (TTNT) were defined using treatment information in claims and linkage with the National Death Index. RESULTS: We identified 12,659 patients with incident advanced stage ovarian cancer during the study period. Most patients undergoing treatment received platinum agents (75%) and/or taxanes (70%). The most common HOIs (> 24 per 100 person-years) included abdominal pain, nausea and vomiting, anemia, and serious infections. The median overall survival from diagnosis was 4.5 years, while approximately half of the treated cohort had a first-line time to treatment discontinuation or death (TTD) within the first 4 months, and a time to next treatment or death (TTNT) from first to second-line of about 6 months. CONCLUSIONS: This study describes commercially insured US patients with advanced stage ovarian cancer from 2010 to 2018, and observed diverse treatment patterns, incidence of numerous HOIs, and limited survival in this population. BioMed Central 2020-08-31 /pmc/articles/PMC7461260/ /pubmed/32867806 http://dx.doi.org/10.1186/s13048-020-00691-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Beachler, Daniel C.
Lamy, Francois-Xavier
Russo, Leo
Taylor, Devon H.
Dinh, Jade
Yin, Ruihua
Jamal-Allial, Aziza
Dychter, Samuel
Lanes, Stephan
Verpillat, Patrice
A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer
title A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer
title_full A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer
title_fullStr A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer
title_full_unstemmed A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer
title_short A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer
title_sort real-world study on characteristics, treatments and outcomes in us patients with advanced stage ovarian cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461260/
https://www.ncbi.nlm.nih.gov/pubmed/32867806
http://dx.doi.org/10.1186/s13048-020-00691-y
work_keys_str_mv AT beachlerdanielc arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT lamyfrancoisxavier arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT russoleo arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT taylordevonh arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT dinhjade arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT yinruihua arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT jamalallialaziza arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT dychtersamuel arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT lanesstephan arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT verpillatpatrice arealworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT beachlerdanielc realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT lamyfrancoisxavier realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT russoleo realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT taylordevonh realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT dinhjade realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT yinruihua realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT jamalallialaziza realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT dychtersamuel realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT lanesstephan realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer
AT verpillatpatrice realworldstudyoncharacteristicstreatmentsandoutcomesinuspatientswithadvancedstageovariancancer