US Oncologist Survey: Optimizing Treatment for Advanced Lung Cancer
Description
Experience real patient situations that progressively unfold, presented to 154 oncologists in a survey for their open-ended responses providing rich insight into their clinical decisions. Data includes specific treatment choices, factors that influence their decisions, barriers to optimal treatment and confidence in treatment and management of patients. This primary research provides the oncology prescribing information that you are missing, directly from high-prescribing US oncologists on the treatment of patients with advanced lung cancer.
Case highlights include:
- Smoker with squamous cell carcinoma
- Light smoker with adenocarcinoma
- Nonsmoker with adenocarcinoma
- Former light smoker whose cancer is EGFR positive
Treatment decisions for advanced stages of cancer are difficult to track as information quickly changes along with the introduction of new information and products impacting oncologists’ decisions. This series of reports will allow you to see what is actually happening at the patient level for different types of patients presenting with a wide range of issues in advanced stages of cancer.
This report allows you to:
- Understand what occurs with actual patients
- Access the most up-to-date prescribing trends
- Gain actionable data for developing and improving your market strategies
- Pinpoint needs of your target audience
- Focus resources to maximize the effectiveness of your budget
- Understand where your product fits
- Understand where your competitor’s product fits
- Design messages to advance brand performance
Table of Contents
- Executive Summary
- Chapter 1: Introduction
- Table 1: Treatment Options in Advanced Lung Cancer
- Chapter 2: Respondent Demographics
- Table 2: Eligibility Criteria for Survey Participation
- Figure 2.1 Gender of Survey Respondents
- Figure 2.2 Years since Medical School Graduation
- Figure 2.3 Practice Settings
- Figure 2.4 Practices in NCI Cancer Centers
- Figure 2.5 Geographic Settings
- Figure 2.6 Survey Respondents by State’s Lung Cancer Mortality
- Figure 2.7 Number of Physicians in Practice Groups
- Figure 2.8 Minimal Acceptable Level of Evidence in Determining Treatment Regimen
- Chapter 3: Treatment of a Smoker with Squamous Cell Carcinoma
- Figure 3.1 Laboratory studies to be done on the tumor tissue
- Figure 3.2 First-line chemotherapy regimen
- Figure 3.4 Confidence in treating this patient to an optimal outcome
- Figure 3.5 Next step in management
- Figure 3.6 Subsequent treatment regimen
- Figure 3.7 Treatment at next cancer progression
- Figure 3.8 Factors influencing treatment decisions
- Chapter 4: Treatment of a Light Smoker with Adenocarcinoma
- Figure 4.1 Barriers to an optimal outcome
- Figure 4.2 Confidence in treating patient to an optimal outcome
- Figure 4.3 Laboratory studies to order
- Figure 4.4 First-line chemotherapy regimen
- Figure 4.5 Next step in management
- Figure 4.6 Second-line treatment regimen
- Figure 4.7 Factors influencing treatment decision
- Chapter 5: Treatment of a Never-smoker with Adenocarcinoma
- Figure 5.1 Laboratory studies to order
- Figure 5.2 Confidence in treating patient to an optimal outcome
- Figure 5.3 Next step in management
- Figure 5.4 Whether to wait for results of testing before beginning systemic therapy
- Figure 5.5 First-line chemotherapy regimen
- Figure 5.6 Factors influencing treatment decision
- Chapter 6: Treatment of an EGFR Mutation Positive Adenocarcinoma
- Figure 6.1 First-line chemotherapy regimen
- Figure 6.2 Factors influencing treatment decision
- Figure 6.3 Confidence in treating patient to an optimal outcome
- Figure 6.4 Factors influencing treatment decision
- Figure 6.5 Sequence of treatment choices
- Figure 6.6 Barriers to management of advanced lung cancer
- Chapter 7: Summary
- Appendix A: Survey Instrument
Related posts:
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- US Oncologist Survey: Optimizing Treatment for Stage IIIA Asymptomatic Indolent Lymphoma
- US Oncologist Survey: Optimizing Treatment for Stage IV Follicular B-Cell Non-Hodgkin’s Lymphoma
- Optimizing Treatment for Bone Metastases in Patients with Advanced Cancers