Clinical trial representativeness and treatment intensity in a real-world sample of women with early-stage breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6584-6584
Author(s):  
Nicole E. Caston ◽  
Courtney Williams ◽  
Jeffrey Franks ◽  
Monica S. Aswani ◽  
Andres Azuero ◽  
...  

6584 Background: Early stage breast cancer (EBC) treatment is used in women of all ages, races, and health states. However, as clinical trials often do not represent real-world populations, the extent to which evidence-based treatments are prescribed to populations not well represented in these trials is not known. This study evaluated treatment intensity for patients traditionally well represented, underrepresented, and unrepresented in clinical trials. Methods: This retrospective cohort study used the nationwide de-identified electronic health record derived Flatiron Health database for patients diagnosed with EBC between 2011-2020. We categorized treatments as either high- (AC-TH [doxorubicin, cyclophosphamide followed by paclitaxel or docetaxel, trastuzumab]; ACT [paclitaxel or docetaxel, doxorubicin, cyclophosphamide]; TCH [paclitaxel or docetaxel, carboplatin, trastuzumab]; TCHP [paclitaxel or docetaxel, carboplatin, trastuzumab, pertuzumab]) or low-intensity (AC [doxorubicin, cyclophosphamide]; TC [paclitaxel or docetaxel, cyclophosphamide]; TH [paclitaxel or docetaxel, trastuzumab]). Unrepresented patients often have one or more comorbidities and/or prior cancer; underrepresented patients are typically Black, Indigenous, people of color, or of age extremes ( < 45, 70+); well represented patients are White and between the ages of 45-69. Odds ratios (OR), predicted proportions, and 95% confidence intervals (CI) from a two-level (patients nested in practice) hierarchical logistic regression model evaluated associations between receipt of high-intensity chemotherapy and patient characteristics of clinical trial representation (age, race/ethnicity, presence of comorbidity). Results: Our study included 970 patients with EBC with 13%, 45%, and 41% characterized as unrepresented, underrepresented, and well represented in clinical trials, respectively. In the adjusted model, those aged ≥ 70 vs 45-69 had lower odds of receiving a high-intensity treatment (OR 0.40, 95% CI 0.26-0.60), while those aged < 45 vs 45-69 had higher odds of receiving high-intensity treatment (OR 1.82, 95% CI 1.10-3.01). The predicted proportion of patients receiving a high-intensity treatment was 87% (95% CI: 80%-92%) for patients aged < 45, 79% (95% CI: 74%-84%) for patients aged 45-69, and 60% (95% CI: 50%-70%) for patients aged ≥ 70. Neither race/ethnicity nor comorbidity status were associated with odds of receiving high-intensity chemotherapy. Conclusions: Over half of the EBC population is not well represented in clinical trials. Age was associated with differential treatment intensity, despite a lack of evidence that these differences are appropriate. Widening clinical trial eligibility criteria is one way to better understand survival outcomes, identify potential toxicities, and ultimately make evidence-based treatment decisions using a more diverse sample.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 125-125
Author(s):  
Jeffrey Franks ◽  
Nicole Caston ◽  
Courtney Williams ◽  
Andres Azuero ◽  
Monica S. Aswani ◽  
...  

125 Background: Clinical trials are used to generate standard-of-care, yet often do not reflect patient populations treated in real-world settings. Elderly patients or patients of color who are often underrepresented in trials, which may impact what types of treatments are prescribed. This study examines how patient characteristics are associated with treatment intensity in early stage breast cancer. Methods: This retrospective cross-sectional study included women with a stage I-III breast cancer from American Society of Clinical Oncology’s CancerLinQ database treated by chemotherapy from 2005-2019. Seven standard-of-care regimens were characterized by intensity. For patients with ER+/- HER2- breast cancer, low-intensity regimens were Taxol and Cyclophosphamide or Adriamycin and Cyclophosphamide; while Taxol, Adriamycin, and Cyclophosphamide was considered high intensity. For patients with HER2+ breast cancer, the low intensity regimen was Taxol and Herceptin; while Adriamycin and Cyclophosphamide followed by Taxol and Herceptin; Taxol, Carboplatin, and Herceptin; or Taxol, Carboplatin, Herceptin, and Pertuzumab were considered high intensity. A model estimating the likelihood of intensity was calculated using log-binomial regression, in order to produce relative risks. The models were adjusted for patient demographics and cancer stage. Results: Of 24,383 patients, 51% had ER+HER2-, 20% ER-HER2-, and 29% HER2+ breast cancer. Most patients were White (60%), age 40-69 (80%), had stage II breast cancer (39%), and received higher intensity treatment (65%). Adjusted for the other covariates, patient who were Black were more likely to receive high-intensity treatment than patients who were White (61% vs 58%; RR 1.05, 95%CI 1.02-1.06. Additionally, older adults were more likely to receive low-intensity treatment, with 42% of patients over 70 receiving low intensity treatment, and 29% of patients between the ages 40 and 69 received low intensity treatment (RR 1.5, 95% CI 1.44 -1.54). Conclusions: Differences in treatment intensity were observed for patients with differing demographic characteristics. Further research is needed to determine lack of representation in clinical trials impacts on prescribing patterns, regimen intensity, and survival.


Author(s):  
Gabrielle B. Rocque ◽  
Nicole E. Caston ◽  
Jeffrey A. Franks ◽  
Courtney P. Williams ◽  
Monica S. Aswani ◽  
...  

2021 ◽  
Author(s):  
Courtney Andrews ◽  
Timothy C. Childers ◽  
Kimberly D. Wiseman ◽  
Valerie Lawhon ◽  
Stacey Ingram ◽  
...  

Abstract Background As the combination of systemic and targeted chemotherapies is associated with severe adverse side effects and long-term health complications, there is interest in reducing treatment intensity for patients with early stage breast cancer (EBC). Clinical trials are needed to determine if it is feasible to reduce treatment intensity while maintaining 3-year recurrence-free survival of greater than 92%. In order to recruit patients for de-implementation trials, it is important to understand patient perspectives on barriers and facilitators to reducing treatment intensity. Methods We collected qualitative interview data from patients with Stage II-III breast cancer (N=24) and patient advocates (N=16). Interviews explored interest in de-implementation trial participation and identified potential barriers and facilitators to participation. 17 participants were asked about the potential impact of COVID-19 on de-implementation efforts. Interviews were audio-recorded and transcribed, and researchers used qualitative content analysis (NVIVO and Atlas.ti) to code for dominant themes. Results 17 participants (42.5%) expressed interest in participating in a trial of reduced chemotherapy. Barriers to reducing chemotherapy included (1) fear of recurrence and inefficacy, (2) preference for aggressive treatment, (3) disinterest in clinical trials, (4) lack of information about expected outcomes, (5) fear of regret, and (6) having young children. Facilitators included (1) avoiding physical toxicity, (2) understanding the scientific rationale of reducing chemotherapy, (3) confidence in providers, (4) consistent monitoring and the option to increase dosage, (5) fewer financial and logistical challenges, and (6) contributing to scientific knowledge. Of those asked, nearly all participants said they would be more motivated to reduce treatment intensity in the context of Covid-19, primarily in order to avoid exposure to the virus while receiving treatment. Conclusions We recommend framing de-implementation strategies and recruitment to trials in terms of customizing treatment to the individual patient and added benefit—reduced toxicities, higher quality of life during treatment and lower risk of long-term complications—rather than in terms of taking treatments away or doing less than the standard of care. Doctor-patient rapport and provider support will be crucial in this process.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 75-75
Author(s):  
Jeffrey Franks ◽  
Risha Gidwani ◽  
Ene Mercy Enogela ◽  
Nicole E. Caston ◽  
Courtney Williams ◽  
...  

75 Background: Many patient population groups are not proportionally represented in clinical trials, including patients of color, at age extremes, or with comorbidities. It is unclear how treatment outcomes may differ for these patients compared to those well represented in trials. Methods: This retrospective cohort study included women diagnosed with early-stage (I-III) breast cancer (EBC) between 2005-2015 in the CancerLinQ Discovery electronic medical record-based dataset. Patients with comorbidities or concurrent cancer were considered unrepresented in clinical trials. Non-White patients and/or those aged <45 or ≥70 years were considered underrepresented. Patients who were White and aged 45-69 were considered well represented. Overall and EBC subtype-stratified Cox proportional hazards models estimated hazard ratios (HR) and 95% confidence intervals (CI) for five-year mortality by representation group. The overall model was adjusted for cancer stage, subtype, chemotherapy intensity, and year of EBC diagnosis. Stratified models were adjusted for cancer stage, individual treatment regimen (due to lack of chemotherapy intensity variation within subtype), and year of EBC diagnosis. Results: Of 11,770 patients, most were aged 45-69 (71%), White (72%), diagnosed with stage II (51%), or HR+HER2- EBC (56%). Unrepresented patients (7%) were categorized due to comorbidities (76%), concurrent cancer (22%), or both (2%). Underrepresented patients (45%) were categorized based on age (44%), race/ethnicity (39%), or both (17%). The remaining patients were well represented in trials (48%). In adjusted models, unrepresented patients had almost three times the hazard of death than well-represented patients (HR 2.71, 95% CI 2.08-3.52; Table). The hazard of death for underrepresented versus well-represented patients was similar (HR 1.19, 95% CI 0.98-1.45). Comparable results were seen in EBC subtype-specific models. Conclusions: Over half of patients in this study would be considered underrepresented or unrepresented in clinical trials due to age, comorbidity, or race/ethnicity. Patients considered unrepresented in trials experienced poorer survival compared to those well-represented. Trialists should ensure study participants reflect the real-world disease population to support evidence-based decision making for all individuals with cancer.[Table: see text]


Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xiao-Lin Wei ◽  
Ru-Zhen Yuan ◽  
Yong-Mei Jin ◽  
Shu Li ◽  
Ming-Yue Wang ◽  
...  

Abstract Background More than 50% cognitive impairment was reported by cancer patients before and after medical treatment. However, there are no effective interventions to manage the cognitive problem in women with breast cancer. This pilot study was designed to evaluate the protective effect of Baduanjin exercise on cognitive function and cancer-related symptoms in women with early-stage breast cancer undergoing chemotherapy. Method A single-blinded, randomized control trial was designed. The trial will recruit 70 patients with early-stage breast cancer scheduled to receive chemotherapy from Shanghai in China. All participants will be randomly assigned to (1:1) the supervised Baduanjin group (5 times/week, 30 min each time) or the wait-list control group for 3 months. The effect of Baduanjin exercise intervention will be evaluated by outcome measures including subjective and objective cognitive function, symptoms (fatigue, depression, and anxiety), and health-related quality of life at pre-intervention (T0), 8 weeks (T1), and 12 weeks (T2). The PCI score in the FACT-Cog as the primary cognitive outcome will be reported descriptively, while effect sizes and 95% confidence intervals (CIs) will be calculated. The collected data will be analyzed by using an intention-to-treat principle and linear mixed-effects modeling. Discussion This is the first randomized clinical trial to investigate whether Baduanjin exercise will have a positive role in improving cognitive function in women with breast cancer receiving chemotherapy. If possible, Baduanjin exercise will be a potential non-pharmacological intervention to manage cognitive dysfunction and promote survivorship care among breast cancer survivors. Trial registration Chinese Clinical Trial Registry (ChiCTR) ChiCTR2000033152. Registered on 22 May 2020


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