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Background: Regulators and oncology healthcare providers are increasingly interested in using observational studies of real‐world data (RWD) to complement clinical evidence from randomized controlled trials for informed decision‐making. To generate valid evidence, RWD studies must be carefully designed to avoid systematic biases. The clone‐censor‐weight (CCW) method has been proposed to address immortal time and other time‐related biases. Methods: The objective of this manuscript is to de‐mystify the CCW method for cancer researchers by describing and presenting its core components in an accessible and digestible format, using visualizations and examples from cancer‐relevant studies. The CCW method has been applied in diverse settings, including investigations of the effects of surgery within a certain time after cancer diagnosis, the continuation of annual screening mammography, and chemotherapy duration on survival. Results: The method handles complex data wherein the treatment group to which an individual belongs is unknown at the start of follow‐up. The three steps of the CCW method involve cloning or duplicating the patient population and assigning one clone to each treatment strategy, artificially censoring the clones when their observed data are inconsistent with the assigned strategy and weighting the cloned and censored population to address selection bias created by the artificial censoring. Conclusions: The CCW method is a powerful tool for designing RWD studies in cancer that are free from time‐related biases and successfully, to the extent possible, emulate features of a randomized clinical trial. [ABSTRACT FROM AUTHOR]

Purpose: The use of open‐source programming languages can facilitate open science practices in real‐world evidence (RWE) studies. Real‐world studies often rely on using big data, which makes using such languages complicated. We demonstrate an efficient approach that enables RWE researchers to use R to undertake RWE analysis tasks from cohort building to reporting. Methods: Using the Merative Marketscan data (2017–2019), we developed an R function to transform the data into parquet format to be used in R. Then, we compared the differences in data size before and after transformation. We compared the performance of the transformed data in R to the original data in terms of numerical consistency and running times required to complete simple exploratory tasks. To show how the transformed databases can be used in practice, we conducted a simplified replication of an active comparator new user study from the literature. All codes are available on GitHub. Results: Our approach exhibited high efficiency in data storage, as evidenced by the converted data size, which ranged from 10% to 43% of that of the original data files. The runtime of the exploratory tasks in R generally outperformed that of the original data with SAS. We showed, through example, how the converted data can be efficiently used to implement an RWE study. Conclusion: We demonstrate a free and efficient solution to facilitate the use of open‐source programming languages with big real‐world databases, which can facilitate the adoption of open science practices. [ABSTRACT FROM AUTHOR]

Introduction: In the United States, clinical guidelines recommend daily use of proton pump inhibitors (PPIs) amongst individuals diagnosed with Barrett's esophagus to decrease the risk of progression to dysplasia and neoplasia. Prior studies documenting adherence to PPIs in this population have not characterized heterogeneity in adherence patterns. Factors that may relate to adherence are incompletely described. Methods: We used administrative claims data from the Merative MarketScan Commercial Claims and Encounters database to conduct a retrospective study of adherence to prescription PPIs. A cohort of individuals diagnosed with incident Barrett's esophagus between 2010 and 2019 was identified. Group‐based trajectory models were generated to detect longitudinal adherence subgroups. Results: 79 701 individuals with a new diagnosis of Barrett's esophagus were identified. The best fitting model detected five distinct adherence trajectory groups: consistently high (44% of the population), moderate decline (18%), slow decline (12%), rapid decline (10%), and decline‐then‐increase (16%). Compared to individuals starting PPIs, those already using PPIs were less likely to have a declining adherence pattern. Other factors associated with membership in a declining adherence group included (but were not limited to): female sex, having a past diagnosis of anxiety or depression, and having one or more emergency department visits in the past year. Discussion: Using an exploratory method, we detected heterogeneity in adherence to prescription PPIs. Less than half of individuals were classified into the consistently high adherence group, suggesting that many individuals with Barrett's esophagus receive inadequate pharmacologic therapy. [ABSTRACT FROM AUTHOR]

Background: Achalasia is a rare esophageal motility disorder of uncertain etiology. While past studies have indicated that autoimmune conditions and viral infections may be associated with development of achalasia, these associations are yet to be examined in large, population‐based studies. Methods: A matched case‐control study was performed using administrative claim data from the IBM MarketScan Commercial Claims and Encounters Database between 2000 and 2019. A history of selected autoimmune conditions and viral infections was assessed using past medical claims. Multivariable conditional logistic regression was used to account for the matched nature of the study design and further control for confounding by demographic and clinical characteristics when reporting adjusted odds ratios (aORs). Key Results: Among 6769 cases and 27,076 controls, presence of any of the autoimmune conditions studied was associated with increased odds of achalasia (aOR = 1.26, 95% CI: 1.11, 1.42). Scleroderma or systemic sclerosis (aOR = 8.13, 95% CI: 3.34, 19.80) and Addison's disease (aOR = 3.83, 95% CI: 1.83, 8.04) had the strongest associations with achalasia. Presence of any of the viral infections studied was also associated with an increased risk of achalasia (aOR = 1.58, 95% CI: 1.23, 2.01). Varicella zoster virus (aOR = 3.84, 95% CI: 1.94, 7.62) and human papillomavirus (aOR = 1.77, 95% CI: 1.15, 2.73) both had strong relationships with achalasia. Conclusions and Inferences: These findings suggest that achalasia may have autoimmune and viral components contributing to its etiology. Future mechanistic studies could target specific diseases and agents highlighted by this research. [ABSTRACT FROM AUTHOR]

Background: Despite data demonstrating the safety of omitting axillary surgery in older women with early-stage breast cancer, the incidence of axillary surgery remains high. It was hypothesized that the prevalence of nodal positivity would decrease with advancing age.Methods: The National Cancer Data Base was used to construct a cohort of adult women with early-stage, clinically node-negative, estrogen receptor-positive (ER+), human epidermal growth factor receptor 2-negative breast cancer treated between 2013 and 2015. Multivariable logistic regression was used to assess the relationship between age and nodal positivity, and this was stratified by the axillary surgery category. Modified Poisson regression was used to estimate the proportion of women receiving adjuvant therapy according to age and nodal status.Results: The incidence of axillary surgery among women aged 70 and older (n = 51,917) remained high nationwide (86%). There was a significant decrease in nodal positivity with advancing age in women with early-stage, ER+, clinically node-negative breast cancer from the youngest cohort up to patients aged 70 to 89 years, and this was independent of histologic subtype (ductal vs lobular), race, comorbidities, and socioeconomic factors. Overall, less than 10% of women aged 70 or older who underwent surgery had node-positive disease, regardless of axillary surgery type, and almost 95% of node-positive patients aged 70 or older were at pathological stage N1mi or N1.Conclusions: Axillary surgery may be safely omitted for many older women with ER+, clinically node-negative, early-stage breast cancer. Nodal positivity declines with advancing age, and this suggests varied biology in older patients versus younger patients. [ABSTRACT FROM AUTHOR]