Utilizing a patient advocacy-led clinical network to engage diverse, community-based sites in implementation-effectiveness research.

BACKGROUND: Increased engagement with community-based practices is a promising strategy for increasing clinical trials access of diverse patient populations. In this study we assessed the ability to utilize a patient-advocacy organization led clinical network to engage diverse practices as field sites for clinical research. METHODS: GO2 for Lung Cancer led recruitment efforts of 17 field sites from their Centers of Excellence in Lung Cancer Screening Network for participation in an implementation-effectiveness trial focused on smoking cessation integration into screening programs for lung cancer. Sites were engaged by one of three methods: 1) Pre-Grant submission of letters of support, 2) a non-targeted study information dissemination campaign to network members, and 3) proactive, targeted outreach to specific centers informed by previously submitted network member data. Detailed self-reported information on barriers to participation was collected from centers that declined to join the study. RESULTS: Of 17 total field sites, 16 were recruited via the targeted outreach campaign and 1 via pre-grant letter of support submission. The sites covered 13 states and 4 United States geographic regions, were varied in annual screening volumes and years of screening program experience and were predominantly community-based practices (10 of 17 sites). The most reported reason (by 33% of sites) for declining to participate as a field site was inadequate staffing bandwidth for trial activities. This was especially true in community-based programs among which it was reported by 45% as a reason for declining. CONCLUSIONS: Our results suggest that this model of field site recruitment leveraging an existing partnership between an academic research team and an informal clinical network maintained by a disease-specific patient advocacy organization can result in engagement of diverse, community-based field sites. Additionally, reported barriers to participation by sites indicate that solutions centered around providing additional resources to enable greater capacity for site staff may increase community-practice participation in research.

Characteristics of Lung Cancer Patients With Asymptomatic or Undiagnosed SARS-CoV-2 Infections.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may be spread by individuals unaware they are infected. Such dissemination has heightened ramifications in cancer patients, who may need to visit healthcare facilities frequently, be exposed to immune-compromising therapies, and face greater morbidity from coronavirus disease 2019 (COVID-19). We determined characteristics of (1) asymptomatic, clinically diagnosed, and (2) serologically documented but clinically undiagnosed SARS-CoV-2 infection among individuals with lung cancer. PATIENTS AND METHODS: In a multicenter registry, individuals with lung cancer (regardless of prior SARS-CoV-2 vaccination or documented infection) underwent collection of clinical data and serial blood samples, which were tested for antinucleocapsid protein antibody (anti-N Ab) or IgG (N) levels. We used multivariable logistic regression models to investigate clinical characteristics associated with the presence or absence of symptoms and the presence or absence of a clinical diagnosis among patients with their first SARS-CoV-2 infection. RESULTS: Among patients with serologic evidence or clinically documented SARS-CoV-2 infection, 80/142 (56%) had no reported symptoms at their first infection, and 61/149 (40%) were never diagnosed. Asymptomatic infection was more common among older individuals and earlier-stage lung cancer. In multivariable analysis, non-white individuals with SARS-CoV-2 serologic positivity were 70% less likely ever to be clinically diagnosed (P = .002). CONCLUSIONS: In a multicenter lung cancer population, a substantial proportion of SARS-CoV-2 infections had no associated symptoms or were never clinically diagnosed. Because such cases appear to occur more frequently in populations that may face greater COVID-19-associated morbidity, measures to limit disease spread and severity remain critical.

Time-Dependent Effects of Clinical Interventions on SARS-CoV-2 Immunity in Patients with Lung Cancer.

In patients with lung cancer (LC), understanding factors that impact the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) anti-spike antibody (SAb) titers over time is critical, but challenging, due to evolving treatments, infections, vaccinations, and health status. The objective was to develop a time-dependent regression model elucidating individual contributions of factors influencing SAb levels in LC patients using a prospective, longitudinal, multi-institutional cohort study initiated in January 2021. The study evaluated 296 LC patients-median age 69; 55% female; 50% stage IV. Blood samples were collected every three months to measure SAb levels using FDA-approved ELISA. Asymptomatic and unreported infections were documented through measurement of anti-nucleocapsid Ab levels (Meso Scale Discovery). Associations between clinical characteristics and titers were evaluated using a time-dependent linear regression model with a generalized estimating equation (GEE), considering time-independent variables (age, sex, ethnicity, smoking history, histology, and stage) and time-dependent variables (booster vaccinations, SARS-CoV-2 infections, cancer treatment, steroid use, and influenza vaccination). Significant time-dependent effects increasing titer levels were observed for prior SARS-CoV-2 infection (p < 0.001) and vaccination/boosters (p < 0.001). Steroid use (p = 0.043) and chemotherapy (p = 0.033) reduced titer levels. Influenza vaccination was associated with increased SAb levels (p < 0.001), independent of SARS-CoV-2 vaccine boosters. Prior smoking significantly decreased titers in females (p = 0.001). Age showed no association with titers. This GEE-based linear regression model unveiled the nuanced impact of multiple variables on patient anti-spike Ab levels over time. After controlling for the major influences of vaccine and SARS-CoV-2 infections, chemotherapy and steroid use were found to have negatively affected titers. Smoking in females significantly decreased titers. Surprisingly, influenza vaccinations were also significantly associated, likely indirectly, with improved SARS-CoV-2 titers.

Real-world analysis of the relationships between smoking, lung cancer stigma, and emotional functioning.

INTRODUCTION: People diagnosed with lung cancer experience high rates of distress, which can be compounded by the stigma of the disease. This study assessed a real-world population to understand patient-reported emotional functioning, types of stigma experienced, and relationship with smoking history. METHODS: Questionnaires using validated survey tools assessing demographics, smoking history, stigma, and quality of life (EORTC QLQ-C30 Emotional Functioning Scale) were analyzed from 539 global participants in the Lung Cancer Registry between November 2019 and July 2022. The associations between smoking history and self-reported internalized and perceived stigma and constrained disclosure of lung cancer diagnosis, as well as the potential impact of stigma on emotional functioning, were examined using multivariable logistic regression models. RESULTS: Among the broad geographic mix of study participants, all types of lung cancer stigma were associated with decreased emotional functioning due to a combination of factors including depression, anxiety, stress, and irritability. Participants who reported a history of current or former smoking experienced higher levels of internalized stigma and perceived stigma. Constrained disclosure about a diagnosis was common, associated with decreased emotional functioning, and not related to a history of smoking. Smoking status itself was not associated with reduced emotional functioning, implicating the role of stigma in distress. CONCLUSIONS: In this study, all types of lung cancer stigma were associated with clinically important decreases in emotional functioning. This impact was not dependent on smoking history. Internalized and perceived stigma were associated with the presence of a smoking history. These findings have implications for proper psychosocial care of people diagnosed with lung cancer.