scholarly journals Treatment patterns and clinical outcomes of chemotherapy treatment in patients with muscle-invasive or metastatic bladder cancer in the Netherlands

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Daan J. Reesink ◽  
Ewoudt M. W. van de Garde ◽  
Bas. J. M. Peters ◽  
Paul B. van der Nat ◽  
Maartje Los ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Real World ◽  
Treatment Patterns ◽  
Second Line ◽  
Chemotherapy Treatment ◽  
First Line ◽  
Real World Data ◽  
World Data ◽  
Metastatic Bladder Cancer ◽  
Muscle Invasive

Abstract This retrospective study was performed to evaluate real-world oncological outcomes of patients treated with chemo-based therapy for muscle-invasive or metastatic bladder cancer (MIBC/mBC) and compare results to data from RCTs and other cohorts. Among 1578 patients diagnosed, 470 (30%) had MIBC/mBC. Median overall survival (mOS) for RC alone (47 months), first-line (13 months) and second-line (7 months) chemotherapy, and chemotherapy for recurrent disease (8 months) were similar to literature. Treatment with neoadjuvant and induction chemotherapy (NAIC) was only utilized in 9% of patients, and often in patients with poor disease status, resulting in a lower mOS compared to literature (35 and 20 months, respectively). Patients treated with chemotherapy had many adversities to treatment, with only 50%, 13%, 18% and 7% of patients in NAIC, first-line, salvage after RC, and second-line setting completing the full pre-planned chemotherapy treatment. Real-world data shows NAIC before RC is underutilized. Adversities during chemotherapy treatment are frequent, with many patients requiring dose reduction or early treatment termination, resulting in poor treatment response. Although treatment efficacy between RCTs and real-world patients is quite similar, there are large differences in baseline characteristics and treatment patterns. Possibly, results from retrospective studies on real-world data can deliver missing evidence on efficacy of chemotherapy treatment on older and ‘unfit’ patients.

Treatment patterns and characteristics of acute promyelocytic leukemia (APL) patients receiving arsenic trioxide (ATO) therapy in a real-world setting.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18522-e18522
Author(s):  
Boxiong Tang ◽  
Susan Gabriel ◽  
Jifang Zhou ◽  
Ashutosh K. Pathak ◽  
Debra Irwin ◽  
...  
Keyword(s):  
Real World ◽  
Index Date ◽  
Claims Data ◽  
Treatment Patterns ◽  
Chronic Obstructive ◽  
Administrative Claims ◽  
First Line ◽  
Real World Data ◽  
World Data

e18522 Background: Clinical trials have shown that low-risk APL patients had significantly better outcomes when receiving first-line all-trans retinoic acid (ATRA) + ATO compared with standard ATRA + chemotherapy. Few published studies have used real-world data to describe patients using ATO and their current treatment patterns. This study used United States (US) administrative claims data to describe treatment patterns and characteristics of patients receiving first-line ATO. Methods: This retrospective, observational cohort study used claims data from the MarketScan databases. As there is no ICD-9-CM diagnosis code for APL, ATO treatment was used as a surrogate for the diagnosis of APL since ATO is typically used only in APL patients. Patients were selected if they had ≥1 claims for ATO between January 1, 2000, and June 30, 2015. Date of first use was designated the index date. To identify first-line ATO initiation, patients with ATRA or other APL-indicated chemotherapy claims any time before the index date were excluded. Variable baseline and follow-up periods consisting of ≥3 months of pre-index and ≥30 days of post-index continuous enrollment in medical and pharmacy benefit were used. Results: In total, 331 patients were identified with a subset (n = 265) having ≥2 claims for ATO. The analysis focused on these 265 patients, 54% of whom were male. Mean age was 60.6 years; 45% were covered by Medicare. The most common comorbid conditions measured were diabetes (6%), chronic obstructive pulmonary disease (5%), and congestive heart failure (4%). The most commonly selected APL treatments administered during follow-up were ATRA (17%) and daunorubicin (9%) with the use of idarubicin, cytarabine, and mitoxantrone at less than 3%. Maintenance therapy with methotrexate or 6-mercaptopurine was observed in 7% and 6% of patients, respectively. Conclusions: This is one of the first studies to examine patient characteristics and treatment patterns for first-line ATO using real-world data. Further research is needed to evaluate outcomes for patients receiving ATO as first-line therapy and to re-evaluate treatment guidelines in light of these outcomes.

scholarly journals Ramucirumab plus paclitaxel as second-line treatment in patients with advanced gastric or gastroesophageal junction adenocarcinoma: a nationwide real-world outcomes in Korea study (KCSG-ST19-16)

2021 ◽  
Vol 13 ◽  
pp. 175883592110428
Author(s):  
Hye Sook Han ◽  
Bum Jun Kim ◽  
Hee-Jung Jee ◽  
Min-Hee Ryu ◽  
Se Hoon Park ◽  
...  
Keyword(s):  
Overall Survival ◽  
Confidence Interval ◽  
Real World ◽  
Gastroesophageal Junction ◽  
Locally Advanced ◽  
Line Treatment ◽  
Second Line ◽  
First Line ◽  
Real World Data ◽  
World Data

Background: Ramucirumab as monotherapy or in combination with paclitaxel is a second-line treatment option recommended for patients with locally advanced unresectable or metastatic gastric or gastroesophageal junction (GEJ) adenocarcinoma. However, real-world data from large study cohorts focused on ramucirumab plus paclitaxel in gastric cancer are limited. Methods: The study population comprised all patients with gastric or GEJ cancer who received ramucirumab plus paclitaxel in South Korea between 1 May 2018 and 31 December 2018. We included patients with advanced gastric or GEJ adenocarcinoma and disease progression after first-line platinum and fluoropyrimidine-containing combination chemotherapy. Results: In total, 1063 patients were included in the present study. The objective response rate and disease control rate were 15.1% and 57.7%, respectively. The median progression-free survival was 4.03 months (95% confidence interval, 3.80–4.27) and the median overall survival was 10.03 months (95% confidence interval, 9.33–10.73). Grade 3 or higher treatment-related adverse events with incidence of ⩾5% were neutropenia (35.1%) and anemia (10.5%). Based on multivariable analysis, overall survival was negatively associated with Eastern Cooperative Oncology Group performance status ⩾2, weight loss ⩾10% in the previous 3 months, GEJ of primary tumor, poor or unknown histologic grade, number of metastatic sites ⩾3, presence of peritoneal metastasis, no prior gastrectomy, and time to second-line since first-line treatment <6 months. Conclusion: Our large-scale, nationwide, real-world data analysis of an unselected real-world population adds evidence for the efficacy and safety of second-line ramucirumab plus paclitaxel in patients with locally advanced unresectable or metastatic gastric or GEJ adenocarcinoma.

scholarly journals Survival Outcomes Associated with First and Second-Line Palliative Systemic Therapies in Patients with Metastatic Bladder Cancer

2021 ◽  
Vol 28 (5) ◽  
pp. 3812-3824
Author(s):  
Arshia Beigi ◽  
Saba Vafaei-Nodeh ◽  
Longlong Huang ◽  
Shaun Z. Sun ◽  
Jenny J. Ko
Keyword(s):  
Bladder Cancer ◽  
Real World ◽  
Stage Iv ◽  
Survival Outcomes ◽  
Second Line ◽  
Real World Data ◽  
Treatment Start ◽  
Metastatic Bladder Cancer ◽  
Start Dates ◽  
Systemic Therapies

Background: Real-world data on palliative systemic therapies (PST) in treating metastatic bladder cancer (mBC) is limited. This study investigates current trends in treating mBC with first- (1L) and second-line (2L) chemotherapy (CT) and immunotherapy (IT). Methods: A chart review was conducted on patients diagnosed with stage II-IV bladder cancer in 2014–2016. Survival outcomes were compared between chemotherapy, immunotherapy, and supportive care. Results: out of 297 patients, 77% were male. 44% had stage IV disease at diagnosis. Median age at metastasis was 73 years. 40% of patients received 1L PST and 34% received 2L PST. Median overall survival (mOS) was longer in those receiving PST versus no treatment (p < 0.001). Patients receiving CT and IT sequentially had the longest mOS (18.99 months). First-line IT and CT mOS from treatment start dates were 5.03 and 9.13 months, respectively (p = 0.81). Gemcitabine with cisplatin (8.88 months) or carboplatin (9.13 months) were the most utilized 1L chemotherapy regimens (p = 0.85). 2L IT and CT mOS from treatment start dates were 6.72 and 3.78 months, respectively (p = 0.15). Conclusion: real-world mOS of >1.5 years in mBC is unprecedented and supports using multiple lines of PST. Furthermore, immunotherapy may be a comparable alternative to chemotherapy in both 1L and 2L settings.

An algorithmic approach to deriving line of therapy in a real-world data set for non-small cell lung cancer (NSCLC).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18099-e18099
Author(s):  
Chhaya Shadra ◽  
James Lin Chen ◽  
Cheryl D. Cho-Phan ◽  
Aradhana Ghosh ◽  
Jonathan Hirsch
Keyword(s):  
Metastatic Disease ◽  
Real World ◽  
Second Line ◽  
First Line ◽  
Real World Data ◽  
Data Set ◽  
Algorithmic Approach ◽  
World Data ◽  
Continuation Therapy ◽  
Line Of Therapy

e18099 Background: Real World Data (RWD) is being used for outcomes research and regulatory submissions. A key variable needed to understand treatment outcomes is Line of Therapy (LoT). However, LoT is generally not captured in RWD sources such as electronic health records (EHR) or claims data, and is typically derived using manual abstraction. To determine whether an automated approach to LoT derivation is possible, we created an algorithm and applied it to patients (pts) in the Syapse Learning Health Network. Methods: We selected confirmed NSCLC pts from 4 health systems in the RWD set, verifying diagnosis using ICD-9/10/O3 topography and morphology codes. We analyzed the EHR-derived medication list using a regimen-independent algorithm that classified antineoplastic drugs (AD), as defined by ATC L01, into LoT. Within each LoT, we compared the top 80% of AD prescribed (by volume of pts) to the LoT as indicated on each drug’s FDA label. We then used descriptive statistical summaries to outline the alignment between automated algorithmic results and indicated usage within that LoT. Results: In a set of 10,842 NSCLC pts, a total of 106 unique AD were prescribed in the first line as identified by our algorithm, and 13 drugs were prescribed as first line for 80% of the pts. Of those, 9 (69%) of those are indicated for first line, 3 are not indicated for NSCLC, and 1 is indicated for a subsequent NSCLC line, per FDA labels. 82 unique AD were prescribed in the second line as identified by our algorithm, and 15 drugs were prescribed as second line for 80% of the pts. Of those, 11 (73%) are indicated for treatment/continuation therapy for recurrent, advanced or metastatic disease, 3 are not indicated for NSCLC, and 1 is indicated for first line NSCLC per FDA labels. 36 unique AD were prescribed in subsequent line as identified by our algorithm, and 18 drugs were prescribed as subsequent line for 80% of the pts. Of those, 12 (67%) are indicated for treatment of recurrent, advanced or metastatic disease or subsequent systemic therapy, 5 are not indicated for NSCLC and 1 is indicated for first line per FDA labels. Conclusions: An automated algorithmic approach for deriving lines of therapy may be a viable solution to scalably calculate LoT in RWD sets. A deeper analysis using statistical sensitivity and specificity assessment of such algorithms is needed to validate the potential of an algorithmic approach.

1043-P: Glycemic Profiles and Treatment Patterns: Real-World Data from 8,020 Adults with Type 1 Diabetes Using the Omnipod® Insulin Management System with Cloud-Based Data Management

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1043-P
Author(s):  
JENNIFER E. LAYNE ◽  
JIALUN HE ◽  
JAY JANTZ ◽  
YIBIN ZHENG ◽  
ERIC BENJAMIN ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Data Management ◽  
Real World ◽  
Management System ◽  
Treatment Patterns ◽  
Real World Data ◽  
World Data

CML-296: First-Line Treatment Outcomes of CML Patients in a Real-World Data Setting in Lebanon

2021 ◽  
Vol 21 ◽  
pp. S332-S333
Author(s):  
Fadi Nasr ◽  
Intissar Yehia ◽  
Reem El Khoury ◽  
Saada Diab ◽  
Ahmad Al Ghoche ◽  
...  
Keyword(s):  
Treatment Outcomes ◽  
Real World ◽  
Line Treatment ◽  
First Line ◽  
Real World Data ◽  
World Data ◽  
First Line Treatment

Analyzing treatment patterns and time to the next treatment in chronic lymphocytic leukemia real-world data using automated temporal phenotyping.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e19512-e19512
Author(s):  
Kyeryoung Lee ◽  
Zongzhi Liu ◽  
Meng Ma ◽  
Yun Mai ◽  
Christopher Gilman ◽  
...  
Keyword(s):  
Chronic Lymphocytic Leukemia ◽  
Real World ◽  
Clinical Decision Making ◽  
Single Agent ◽  
Treatment Patterns ◽  
Lymphocytic Leukemia ◽  
Time Interval ◽  
Real World Data ◽  
World Data ◽  
Therapeutic Class

e19512 Background: Targeted therapy is an important treatment for chronic lymphocytic leukemia (CLL). However, optimal strategies for deploying small molecule inhibitors or antibody therapies in the real world are not well understood, largely due to a lack of outcomes data. We implemented a novel temporal phenotyping algorithm pipeline to derive lines of therapy (LOT) and disease progression in CLL patients. Here, the CLL treatment pattern and time to the next treatment (TTNT) were analyzed in real-world data (RWD) using patient electronic health records. Methods: We identified a CLL cohort with LOT from the Mount Sinai Data Warehouse (2003-2020). Each LOT consisted of either a single agent or combinations defined by NCCN CLL guidelines. We developed a natural language processing (NLP)-based temporal phenotyping approach to automatically identify the number of lines and therapeutic regimens. The sequence of treatment and time interval for each patient were derived from the systematic treatment data. Time to event analysis and multivariate (i.e., age, gender, race, other treatment patterns) Cox proportional hazard (CoxPH) models were used to analyze the patterns and predictors of TTNT. Results: Four hundred eleven CLL patients received 1 to 7 LOTs. Ibrutinib was the predominant 1st LOT (40.8% of patients) followed by anti-CD20-based antibody therapies and chemotherapy in 30.6 and 19.2% of patients, respectively, followed by Acalabrutinib, Venetoclax, and Idelalisib in 3.4, 2.7, and 0.7% of patients, respectively (Table 1). The 2nd to 5th LOT showed the same or similar trends. We next analyzed the TTNT in the 1st line of each therapeutic class. Acalabrutinib resulted in a longer median TTNT than Ibrutinib. Both Acalabrutinib and Ibrutinib showed longer TTNT compared to Venetoclax (median TTNTs were 742 and 598 vs. 373 days: HR = 0.23, p=0.015 and HR = 0.48, p=0.03, respectively). In addition, patients with age equal to or older than 65 showed longer TNNT (HR=0.16, p=0.016). Conclusions: Our result shows the potential of RWD usage in clinical decision making as real-world evidence reported here is consistent with results derived from clinical trial data. Linking this study to genetic data and other covariates affecting treatment outcomes may provide additional insights into the optimal sequences of the targeted therapies in CLL. Table 1: Therapeutic class and patient numbers (%) in each line.[Table: see text]

Sign in / Sign up

Export Citation Format

Share Document