scholarly journals 257 Contrasting clinical characteristics and treatment patterns in women with newly diagnosed advanced-stage ovarian cancer in Australia, South Korea and Taiwan

Author(s):  
Hung-Hsueh Chou ◽  
Anna Defazio ◽  
Byoung-Gie Kim ◽  
Chih-Long Chang ◽  
David Bowtell ◽  
...  
Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2374-PUB
Author(s):  
ERIN MCCORRY ◽  
HIBA BASHEER ◽  
JORGE E. LASCANO ◽  
JOHN YOON ◽  
JULIO A. LEEY

2021 ◽  
Vol 8 (2) ◽  
pp. 114-121
Author(s):  
Manjusha Hurry ◽  
Shazia Hassan ◽  
Soo Jin Seung ◽  
Ryan Walton ◽  
Ashlie Elnoursi ◽  
...  

**Background:** In 2020, approximately 3100 Canadian women were diagnosed with ovarian cancer (OC), with 1950 women dying of this disease. Prognosis for OC remains poor, with 70% to 75% of cases diagnosed at an advanced stage and an overall 5-year survival of 46%. Current standard of care in Canada involves a combination of cytoreductive surgery and platinum-based chemotherapy. **Objective:** There are few studies reporting current OC costs. This study sought to determine patient characteristics and costs to the health system for OC in Ontario, Canada. **Methods:** Women diagnosed with OC in Ontario between 2010 and 2017 were identified. The cohort was linked to provincial administrative databases to capture treatment patterns, survival, and costs. Overall total and mean cost per patient (unadjusted) were reported in 2017 Canadian dollars, using a macro-based costing methodology called GETCOST. It is programmed to determine the costs of short-term and long-term episodes of health-care resources utilized. **Results:** Of the 2539 OC patients included in the study, the mean age at diagnosis was 60.4±11.35 years. The majority were diagnosed with stage III disease (n=1247). The only treatment required for 74% of stage I patients and 54% of stage II patients was first-line (1L) platinum chemotherapy; in advanced stages (III/IV) 24% and 20%, respectively, did not receive further treatment after 1L therapy. The median overall survival (mOS) for the whole cohort was 5.13 years. Survival was highest in earlier stage disease (mOS not reached in stage I/II), and dropped significantly in advanced stage patients (stage III: mOS=4.09 years; stage IV: mOS=3.47 years). Overall mean costs in patients stage I were CAD $58 099 compared to CAD $124 202 in stage IV. **Discussion:** The majority of OC patients continue to be diagnosed with advanced disease, which is associated with poor survival and increased treatment costs. Increased awareness and screening could facilitate diagnosis of earlier stage disease and reduce high downstream costs for advanced disease. **Conclusion:** Advanced OC is associated with poor survival and increased costs, mainly driven by hospitalizations or cancer clinic visits. The introduction of new targeted therapies such as olaparib could impact health system costs, by offsetting higher downstream costs while also improving survival.


2015 ◽  
Vol 5 (4) ◽  
pp. 196 ◽  
Author(s):  
Lucas Minig ◽  
Cristina Zorrero ◽  
Pablo Padilla Iserte ◽  
Andres Poveda

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5360-5360 ◽  
Author(s):  
Amanda M Farr ◽  
Marni Stott-Miller ◽  
Helen Varker ◽  
Danae Spencer ◽  
Manan Shah ◽  
...  

Abstract Background: Treatment of MM has undergone dramatic changes in the past decade. However, few studies have focused on treatment patterns among elderly patients. The present study sought to describe contemporary FL treatment patterns among elderly MM patients in a community practice setting. Methods: A retrospective cohort study of patients (≥65 years old) with newly diagnosed MM between 7/1/2011 and 5/31/2014 who had ≥1 oncologist visit within 90 days after diagnosis and ≥90 days of follow-up was conducted. Patients were selected from the Truven MarketScan Oncology Electronic Medical Records (EMR) database and followed until last visit in the EMR database or 8/31/2014, whichever occurred first. Baseline demographics and clinical characteristics were compared between treated patients and patients who did not receive anti-MM treatment in the EMR network (untreated). FL treatment included all anti-MM agents received from first anti-MM prescription/administration after initial diagnosis until the initiation of second-line treatment, which was defined as the first day of any gap in treatment >90 days or initiation of a new regimen. FL treatment patterns were characterized based on descriptive analyses of the EMR data. Time from diagnosis to FL therapy initiation and duration of FL treatment were analyzed using Kaplan-Meier (K-M) methods. Results: A total of 3,768 patients met eligibility criteria: 2,896 (77%) initiated systemic FL therapy (median age 75 years, 56% male) and 872 (23%) were untreated (median age 76 years, 49% male; Table 1). The K-M estimate of treatment rate at 12 months from MM diagnosis was 76% (Table 2). With a median follow-up of 13.2 months, 55% of patients had discontinued FL, while 34% remained on FL. Treated patients were younger (mean age 75.4 years versus 76.4 years, P<0.001) and had fewer baseline comorbidities (P=0.001) than untreated patients. The proportion of males was higher in the treated group (P=0.002). Of the 2,896 treated patients, 13% received a stem cell transplant at any time. Median time from diagnosis to FL therapy initiation was 28 days (95% CI 25-31; Table 2). The most common FL therapy was bortezomib +/- steroids (44%), followed by steroids only (14%), lenalidomide +/- steroids (13%), bortezomib + lenalidomide +/- steroids (10%), bortezomib + cyclophosphamide +/- steroids (8%), carfilzomib- or pomalidomide-containing regimens (4%), and conventional chemotherapy (4%). During FL therapy, 14% switched therapies. 17% of those who were treated with bortezomib + lenalidomide +/- steroids and 10% of those treated with bortezomib + cyclophosphamide +/- steroids received maintenance therapy. Median duration of FL treatment was 196 days (95% CI 180-208; Table 2). Conclusions: Results suggest that almost one-quarter of elderly patients newly diagnosed with MM remain untreated. In addition, about 20% of those treated in FL received suboptimal therapy (i.e., chemotherapy or steroids). Despite the advances in the treatment of MM with the availability of proteasome inhibitors/immunomodulatory agents, there still seems to be an unmet need in this patient population for novel therapies in the FL setting, especially for elderly patients who are at higher risk of comorbidities and clinical complications. Table 1. Demographics and baseline clinical characteristics of newly diagnosed MM patients Treated Patients n=2,896 Untreated Patients n=872 P Age at diagnosis, years (mean, SD) 75.4 6.9 76.4 7.3 <0.001 Age group, years (n, %) 65-69 714 25% 173 20% 0.007 70-74 706 24% 225 26% 75-79 651 22% 186 21% ≥80 825 28% 288 33% Male (n, %) 1,629 56% 431 49% 0.002 Another primary cancer (n, %) 804 28% 152 17% <0.001 Charlson Comorbidity Index (mean, SD) 0.2 0.7 0.3 0.8 0.001 Length of follow-up, months (mean, SD) 15.2 9.1 14.5 8.9 0.040 Table 2. K-M estimates of time from diagnosis to FL initiation and FL duration of treatment K-M Estimate 95% CI Median time to therapy initiation, days 28 25-31 % patients treated at 3 months 65% 63-66% % patients treated at 6 months 70% 69-72% % patients treated at 9 months 73% 71-74% % patients treated at 12 months 76% 74-77% Median duration of FL treatment, days 196 180-208 Still on treatment at 3 months 74% 72-75% Still on treatment at 6 months 52% 50-54% Still on treatment at 9 months 41% 39-43% Still on treatment at 12 months 35% 33-37% Disclosures Farr: Truven Health Analytics: Employment, Other: I am employed by Truven Health Analytics which received funding from Bristol-Myers Squibb to conduct this analysis.. Stott-Miller:Truven Health Analytics: Employment, Other: I am an employee of Truven Health Analytics which received funding from Bristol-Myers Squibb to conduct this analysis.. Varker:Truven Health Analytics: Employment, Other: I am an employee of Truven Health Analytics which received funding from Bristol-Myers Squibb to conduct this analysis.. Spencer:Truven Health Analytics: Employment, Other: I am an employee of Truven Health Analytics which received funding from Bristol-Myers Squibb to conduct this analysis.. Shah:Bristol-Myers Squibb: Employment, Other: Stocks. Chen:Bristol-Myers Squibb: Employment.


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