Leveraging influencers to increase HPV vaccination intention: The impact of message framing and health regulatory fit using repeated measures.

Through a series of two online experiments that incorporate a repeated measures design, we examine how message framing (loss versus gain) within Instagram influencers' posts interact with consumers' health regulatory orientation (promotion versus prevention) to impact HPV vaccination intention between two data collection points. Findings indicate that among those who are more prevention oriented, exposure to a loss-framed influencer advertisement was effective at increasing intention to receive an HPV vaccine relative to those that were exposed to gain-framed influencer advertisement. Based on these findings we offer theoretical and managerial implications.

Allopatric mosaics in the Indo-West Pacific crab subfamily Chlorodiellinae reveal correlated patterns of sympatry, genetic divergence, and genitalic disparity.

Molecular studies have revealed that many species once thought to be wide-ranging in the Indo-West Pacific contain allopatric mosaics of endemic lineages. These lineages provide compelling evidence that substantial time is needed to evolve isolating mechanisms sufficient to permit successful secondary sympatry, and that divergence is initiated in allopatry. In this context, questions arise regarding the nature, timing, and origin of isolating mechanisms that permit secondary sympatry. We present a phylogeny of the crab subfamily Chlorodiellinae which displays allopatric mosaics within species. These allopatric lineages typically do not have divergent male genitalia, while older sympatric lineages do. We tested the relationship between genetic distance (proxy for time), sympatry, and the divergence of male genitalic morphology. Our results suggest that male genitalic divergence is not involved in the initiation of speciation in chlorodielline crabs, having likely occurred only after isolation began in allopatry. However, morphological evolution of genitalia seemingly does play an important role in completing the process of speciation in these crabs.

Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making.

BACKGROUND: Although lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this approach in the context of LCS are urgently needed. We aimed to identify sociodemographic and other factors associated with screening completion among individuals undergoing telemedicine Shared Decision Making (SDM) for LCS. METHODS: This retrospective study examined patients who completed Shared Decision Making (SDM) via telemedicine between May 4, 2020 - March 18, 2021 in a centralized LCS program. Individuals were categorized into Complete Screening vs. Incomplete Screening subgroups based on the status of subsequent LDCT completion. A multi-level, multivariate model was constructed to identify factors associated with incomplete screening. RESULTS: Among individuals undergoing telemedicine SDM during the study period, 20.6% did not complete a LDCT scan. Bivariate analysis demonstrated that Black/African-American race, Medicaid insurance status, and new patient type were associated with greater odds of incomplete screening. On multi-level, multivariate analysis, individuals who were new patients undergoing baseline LDCT or resided in a census tract with a high level of socioeconomic deprivation had significantly higher odds of incomplete screening. Individuals with a greater level of education experienced lower odds of incomplete screening. CONCLUSIONS: Among high-risk individuals undergoing telemedicine SDM for LCS, predictors of incomplete screening included low education, high neighborhood-level deprivation, and new patient type. Future research should focus on testing implementation strategies to improve LDCT completion rates while leveraging telemedicine for high-quality LCS.

Extracorporeal life support and cardiopulmonary bypass for central airway surgery: A systematic review.

BACKGROUND: Major airway surgery can pose a complex problem to perioperative central airway management. Adjuncts to advanced ventilation strategies have included cardiopulmonary bypass, veno-arterial, or veno-venous extracorporeal life support. We performed a systematic review to assess the existing evidence utilizing these strategies. METHODS: An electronic search was conducted to identify studies written in English reporting the use of extracorporeal life support (ECLS) during central airway surgery. Thirty-six articles consisting of 78 patients were selected and patient-level data were analyzed. RESULTS: Median patient age was 47 [IQR: 34-53] and 59.0% (46/78) were male. Indications for surgery included central airway or mediastinal cancer in 57.7% (45/78), lesion or injury in 15.4% (12/78), and stenosis in 12.8% (10/78). Support was initiated pre-operatively in 9.9% (7/71) and at the time of induction in 55.3% (42/76). It was most commonly used at the time of tracheal resection/repair [93.2% (68/73)], intubation of the tracheal stump [94.4% (68/72)], and re-anastomosis [94.2% (65/69)]; 13.7% (10/73) patients were supported post-operatively. The most commonly performed surgery was tracheal repair or resection in 70.3% (52/74). Median hospital stay was 12 [8, 25] days and in-hospital mortality was 7.9% (6/76). There was no significant difference in survival between the three groups (p = .54). CONCLUSIONS: Extracorporeal membrane oxygenation offers versatility in timing, surgical approach, and ECLS runtime that makes it a viable addition to the surgical armamentarium for treating complex central airway pathologies.

Transitioning a Surgery Practice to Telehealth During COVID-19.

: The spread of COVID-19 has challenged practices across the United States to dramatically change inpatient and outpatient practices to focus on containing spread of the virus and accommodate the anticipated increase in volume of acute illness. Despite this transition, practices will need to continue to accommodate evaluation of newly diagnosed malignancies, routine postoperative visits, and acute postoperative issues. Building on an existing telemedicine framework, we aim to describe rapid transition in our outpatient care to a telehealth model in a general thoracic surgery practice during COVID-19.

Black patients referred to a lung cancer screening program experience lower rates of screening and longer time to follow-up.

BACKGROUND: Racial disparities are well-documented in preventive cancer care, but they have not been fully explored in the context of lung cancer screening. We sought to explore racial differences in lung cancer screening outcomes within a lung cancer screening program (LCSP) at our urban academic medical center including differences in baseline low-dose computed tomography (LDCT) results, time to follow-up, adherence, as well as return to annual screening after additional imaging, loss to follow-up, and cancer diagnoses in patients with positive baseline scans. METHODS: A historical cohort study of patients referred to our LCSP was conducted to extract demographic and clinical characteristics, smoking history, and lung cancer screening outcomes. RESULTS: After referral to the LCSP, blacks had significantly lower odds of receiving LDCT compared to whites, even while controlling for individual lung cancer risk factors and neighborhood-level factors. Blacks also demonstrated a trend toward delayed follow-up, decreased adherence, and loss to follow-up across all Lung-RADS categories. CONCLUSIONS: Overall, lung cancer screening annual adherence rates were low, regardless of race, highlighting the need for increased patient education and outreach. Furthermore, the disparities in race we identified encourage further research with the purpose of creating culturally competent and inclusive LCSPs.

A 10-year ACS-NSQIP Analysis of Trends in Esophagectomy Practices.

BACKGROUND: Esophagectomy practices have evolved over time in response to new technologies and refinements in technique. Using the National Safety and Quality Improvement Program (NSQIP) database, we aimed to describe trends for esophagectomy in terms of approach, surgeon specialty, and associated outcomes. MATERIALS AND METHODS: Adult patients undergoing esophagectomy were identified within the 2007-2017 NSQIP database. The proportion of cases performed using different approaches was trended over time. Outcomes were compared with chi-squared and t-tests. Multivariate logistic regression was used to identify factors associated with outcomes and provide risk-adjusted measures. RESULTS: A total of 10,383 esophagectomies were included; 6347 (61.1%) were performed for cancer. The proportion of esophagectomies performed via the Ivor Lewis approach (ILE) increased between 2007 (37.0%) and 2017 (62.4%). Simultaneously, transhiatal esophagectomies (THEs) decreased from 41.1% to 21.5% (P < 0.001). THE was more frequently performed in patients with higher baseline probability of mortality (2.3% versus 2.0%, P < 0.001) and morbidity (32.2% versus. 28.7%, P < 0.001). The percentage performed with cardiothoracic surgeons increased from 0.8% in 2007 to 50.3% in 2017 (P < 0.001). The risk-adjusted complication rate was 45% for THE, 40% for ILE, and 50% for McKeown (MCK) esophagectomy (P < 0.001). The risk-adjusted rate of surgical site infection was 17.3% for THE, 13.1% for ILE, and 19% for MCK (P = 0.001). Within risk-adjusted analysis, surgical approach was not associated with complications. CONCLUSIONS: ILE has emerged as the predominant approach for esophagectomy nationwide among NSQIP-participating institutions and may be associated with lower complication rates than THE. The use of MCK esophagectomy has remained stable but is associated with increased complications.

Racial disparities in local therapy for early stage non-small-cell lung cancer.

OBJECTIVES: This study investigated disparities in the delivery of definitive therapy for early stage non-small-cell lung cancer (ESNSCLC) between Caucasian (CS) and African American (AA) populations. METHODS: The National Cancer Data Base was queried for AA and CS patients, diagnosed with c stage I Non small cell lung cancer between 2004 and 2015. Trends in surgery, stereotactic ablative radiotherapy (SABR), or external beam radiation therapy (EBRT) were compared. Kaplan-Meier and Cox hazards models were used to compare 5-year overall survival (5YOS). RESULTS: A total of 174,338 (90.6%) patients were CS and 18,077 (9.4%) patients were AA. AA patients were less likely to receive surgery (60.3% vs. 66.9%; p < .001) and more likely to receive EBRT (12.4% vs. 10.6%; p < .001); however, there was no significant difference in rates of SABR (8.8% vs. 9.2%; p = .066). From 2004 to 2015, the surgery rates increased for AA patients from 44.4% to 61.8% and for CS patients from 57.6% to 65.6%. AA patients had worse 5YOS on an unadjusted analysis (46.7% vs. 47.9%; p = .009). When adjusted for definitive treatment, AA patients had improved survival (hazard ratio = 0.97, 95% confidence interval = 0.94-0.99). CONCLUSION: Improvements in the delivery of surgery and equal utilization of definitive radiation therapy are at least partially responsible for closing the survival gap between AA and CS patients with ESNSCLC.

Surgical management of growing teratoma syndrome: robotic-assisted thoracoscopic resection of mediastinal teratoma.

BACKGROUND: Growing teratoma syndrome is a rare condition defined by the presence of enlarging metastatic lesions on serial imaging that arise after or during systemic chemotherapy for nonseminomatous germ cell tumors. Lesions commonly occur in the retroperitoneum, mediastinum, or lung and are notoriously unresponsive to conventional chemoradiotherapy. METHODS: In this study, we present a dynamic case of a 26-year-old male, who had undergone surgical resection and systemic bleomycin treatment for a metastatic nonseminomatous germ cell tumor, and later developed recurrent masses in his posterior mediastinum seen on surveillance imaging. Tumor markers remained normal. These lesions were resected via a right robot-assisted thoracoscopic approach with the da Vinci Xi®. RESULTS: The operation was completed successfully with an unremarkable postoperative hospital course. The robotic-assisted right thoracoscopic approach allowed for a minimally invasive dissection with good visualization and minimal morbidity when compared to previous cases of surgically resected mediastinal teratomas. Final pathology demonstrated mature teratomatous elements within a setting of inflammation and necrosis. CONCLUSIONS: Robot-assisted thoracoscopic management of metastatic mediastinal lesions in the setting of this rare condition is safe and feasible.

A standardized comparison of peri-operative complications after minimally invasive esophagectomy: Ivor Lewis versus McKeown.

BACKGROUND: While our institutional approach to esophageal resection for cancer has traditionally favored a minimally invasive (MI) 3-hole, McKeown esophagectomy (MIE 3-hole) during the last five years several factors has determined a shift in our practice with an increasing number of minimally invasive Ivor Lewis (MIE IL) resections being performed. We compared peri-operative outcomes of the two procedures, hypothesizing that MIE IL would be less morbid in the peri-operative setting compared to MIE 3-hole. METHODS: Our institution's IRB-approved esophageal database was queried to identify all patients who underwent totally MI esophagectomy (MIE IL vs. MIE 3-hole) from June 2011 to May 2016. Patient demographics, preoperative and peri-operative data, as well as post-operative complications were compared between the two groups. Post-operative complications were analyzed using the Clavien-Dindo classification system. RESULTS: There were 110 patients who underwent totally MI esophagectomy (MIE IL n = 49 [45%], MIE 3-hole n = 61 [55%]). The majority of patients were men (n = 91, 83%) with a median age of 62.5 (range 31-83). Preoperative risk stratifiers such as ECOG score, ASA, and Charlson Comorbidity Index were not significantly different between groups. Anastomotic leak rate was 2.0% in the MIE IL group compared to 6.6% in the MIE 3-hole group (p = 0.379). The rate of serious (Clavien-Dindo 3, 4, or 5) post-operative complications was significantly less in the MIE IL group (34.7 vs. 59.0%, p = 0.013). Serious pulmonary complications were not significantly different (16.3 vs. 26.2%, p = 0.251) between the two groups. CONCLUSIONS: In this cohort, totally MIE IL showed significantly less severe peri-operative morbidity than MIE 3-hole, but similar rates of serious pulmonary complications and anastomotic leaks. These findings confirm the safety of minimally invasive Ivor Lewis esophagectomies for esophageal cancer when oncologically and clinically appropriate. Minimally invasive McKeown esophagectomy remains a satisfactory and appropriate option when clinically indicated.

It's Complicated: The 2014-2015 U.S. Measles Outbreak and Parents' Vaccination Beliefs, Confidence, and Intentions.

While it seems intuitive that highly visible vaccine-preventable disease outbreaks should impact perceptions of disease risk and facilitate vaccination, few empirical studies exist to confirm or dispel these beliefs. This study investigates the impact of the 2014-2015 Disneyland measles outbreak on parents' vaccination attitudes and future vaccination intentions. The analysis relies on a pair of public opinion surveys of American parents with at least one child under the age of six (N = 1,000 across each survey). Controlling for basic demographics, we found higher levels of reported confidence in the safety and efficacy of childhood vaccinations in our follow-up data collection. However, this confidence was also accompanied by elevated levels of concern toward childhood vaccines among American parents. We then examined how different subgroups in the population scored on these measures before and after the outbreak. We found that parents with high levels of interest in the topic of vaccines and a child who is not fully upto date with the recommended vaccination schedule reported more supportive attitudes toward vaccines. However, future intentions to follow the recommended vaccination schedule were not positively impacted by the outbreak. Possible explanations for these results and implications for vaccination outreach are discussed.

Surgical Apgar score (SAS) predicts perioperative morbidity, mortality, and length of stay in patients undergoing esophagectomy at a high-volume center.

BACKGROUND: Esophagectomy carries considerable morbidity. Many studies have evaluated factors to predict patients at risk. This study aimed to determine whether the surgical Apgar score (SAS) predicts complications and length of stay (LOS) for patients undergoing esophagectomy. STUDY DESIGN: We evaluated 212 patients undergoing esophagectomy. Postoperative complications were graded using the Clavien-Dindo scale and the SAS was determined. Association of SAS with incidence of complications was evaluated using the Cochran-Armitage trend test between grouped SAS scores (0-2, 3-4, 5-6, 7-8, 9-10) and each of the outcomes. Correlation of SAS with LOS was evaluated using competing risks proportional hazards regression. RESULTS: The average patient age was 63.5 years (range 31-86), and the average blood loss was 284 mL (range 50-4000). The median LOS was 10 days. There was a significant association between SAS and grade 2 or higher (P = 0.0002) and grade 3 or higher (P < 0.0001) complications. The perioperative mortality rate was 5.2% (n = 11) with lower SAS being associated with greater mortality. LOS was also associated with SAS (P < 0.0001). CONCLUSIONS: We demonstrate that SAS is a significant predictor of complications and LOS for patients undergoing esophagectomy. SAS should be used to identify lower risk patients to prioritize use of critical care beds and hospital resources.

The Global Invertebrate Genomics Alliance (GIGA): developing community resources to study diverse invertebrate genomes.

Over 95% of all metazoan (animal) species comprise the "invertebrates," but very few genomes from these organisms have been sequenced. We have, therefore, formed a "Global Invertebrate Genomics Alliance" (GIGA). Our intent is to build a collaborative network of diverse scientists to tackle major challenges (e.g., species selection, sample collection and storage, sequence assembly, annotation, analytical tools) associated with genome/transcriptome sequencing across a large taxonomic spectrum. We aim to promote standards that will facilitate comparative approaches to invertebrate genomics and collaborations across the international scientific community. Candidate study taxa include species from Porifera, Ctenophora, Cnidaria, Placozoa, Mollusca, Arthropoda, Echinodermata, Annelida, Bryozoa, and Platyhelminthes, among others. GIGA will target 7000 noninsect/nonnematode species, with an emphasis on marine taxa because of the unrivaled phyletic diversity in the oceans. Priorities for selecting invertebrates for sequencing will include, but are not restricted to, their phylogenetic placement; relevance to organismal, ecological, and conservation research; and their importance to fisheries and human health. We highlight benefits of sequencing both whole genomes (DNA) and transcriptomes and also suggest policies for genomic-level data access and sharing based on transparency and inclusiveness. The GIGA Web site (http://giga.nova.edu) has been launched to facilitate this collaborative venture.

Graph Structured Neural Networks for Perturbation Biology.

Computational modeling of perturbation biology identifies relationships between molecular elements and cellular response, and an accurate understanding of these systems will support the full realization of precision medicine. Traditional deep learning, while often accurate in predicting response, is unlikely to capture the true sequence of involved molecular interactions. Our work is motivated by two assumptions: 1) Methods that encourage mechanistic prediction logic are likely to be more trustworthy, and 2) problem-specific algorithms are likely to outperform generic algorithms. We present an alternative to Graph Neural Networks (GNNs) termed Graph Structured Neural Networks (GSNN), which uses cell signaling knowledge, encoded as a graph data structure, to add inductive biases to deep learning. We apply our method to perturbation biology using the LINCS L1000 dataset and literature-curated molecular interactions. We demonstrate that GSNNs outperform baseline algorithms in several prediction tasks, including 1) perturbed expression, 2) cell viability of drug combinations, and 3) disease-specific drug prioritization. We also present a method called GSNNExplainer to explain GSNN predictions in a biologically interpretable form. This work has broad application in basic biological research and pre-clincal drug repurposing. Further refinement of these methods may produce trustworthy models of drug response suitable for use as clinical decision aids. Availability and implementation: Our implementation of the GSNN method is available at https://github.com/nathanieljevans/GSNN. All data used in this work is publicly available.

Data Valuation with Gradient Similarity.

High-quality data is crucial for accurate machine learning and actionable analytics, however, mislabeled or noisy data is a common problem in many domains. Distinguishing low- from high-quality data can be challenging, often requiring expert knowledge and considerable manual intervention. Data Valuation algorithms are a class of methods that seek to quantify the value of each sample in a dataset based on its contribution or importance to a given predictive task. These data values have shown an impressive ability to identify mislabeled observations, and filtering low-value data can boost machine learning performance. In this work, we present a simple alternative to existing methods, termed Data Valuation with Gradient Similarity (DVGS). This approach can be easily applied to any gradient descent learning algorithm, scales well to large datasets, and performs comparably or better than baseline valuation methods for tasks such as corrupted label discovery and noise quantification. We evaluate the DVGS method on tabular, image and RNA expression datasets to show the effectiveness of the method across domains. Our approach has the ability to rapidly and accurately identify low-quality data, which can reduce the need for expert knowledge and manual intervention in data cleaning tasks.

Association between surgical quality and long-term survival in lung cancer.

OBJECTIVES: There are significant variations in both perioperative and long-term outcomes after lung cancer resection. While perioperative outcomes are often used as comparative measures of quality, they are unreliable, and their association with long-term outcomes remain unclear. In this context, we evaluated whether historical perioperative mortality after lung cancer resection is associated with 5-year survival. PATIENTS AND METHODS: The National Cancer Database (NCDB) was queried to identify patients diagnosed with non-small cell lung cancer (NSCLC) in 2010-2016 who underwent surgical resection (n = 234200). Hospital-level reliability-adjusted 90-day mortality rate quartiles for 2010-2013 was used as the independent variable to analyze 5-year survival for patients diagnosed in 2014-2016 (n = 85396). RESULTS: There were 85,396 patients in the 2014-2016 cohort across 1,086 hospitals. Overall observed 90-day mortality rate was 3.2% (SD 17.6%) with 2.6% (SD 16.0%) for the historically best performing quartile vs. 3.9% (SD 19.4%) for the worst performing quartile (p < 0.0001). Patients who underwent resection at hospitals with the best historical mortality rate had significantly better 5-year survival across all stages compared to those treated at hospitals in the worst performing quartile in multivariate Cox regression analysis (all stages - HR 1.21 [95% CI 1.15-1.26]; stage I - HR 1.19 [95% CI 1.12-1.25]; stage II - HR 1.20 [95% CI 1.09-1.32]; stage III - HR 1.36 [95% CI 1.20-1.54]) and Kaplan-Meier survival estimates (all stages - p < 0.0001, stage I - p < 0.0001; stage II - p = 0.0004; stage III - p < 0.0001). CONCLUSION: With expanded lung cancer screening criteria and likely increase in early-stage detection, profiling performance is paramount to ensuring mortality benefits. We found that episodes surrounding surgical resection may be used to profile long-term outcomes that likely reflect quality across a broader context of care. Evaluating lung cancer care quality using perioperative outcomes may be useful in profiling provider performance and guiding value-based payment policies.

Access to Guideline Concordant Care for Node-Positive Non-Small Cell Lung Cancer in the United States.

BACKGROUND: This study sought to determine whether seeking care at multiple Commission on Cancer (CoC) hospitals is associated with different rates of receiving guideline-concordant care (GCC) among patients with non-small cell lung cancer (NSCLC). METHODS: The National Cancer Database was queried for the years 2004 to 2018 for patients with margin-negative pT1 to pT3 N1 to N2 M0 noncarcinoid NSCLC without neoadjuvant therapy. GCC was defined as chemotherapy for pN1 disease and as chemotherapy with or without radiation for pN2 disease. Patients who received care at >1 facility were examined separately. Factors previously associated with barriers to care were compared between groups. Kaplan-Meier analysis with log-rank tests analyzed 5-year overall survival (OS). Propensity score matching was performed to compare the effect sizes of race, insurance status, and income. RESULTS: In total 44,531 patients met inclusion criteria, 11,980 (26.9%) of whom sought care at >1 CoC institution. Among patients with pN1 disease, 5565 (76.7%) received GCC if they visited >1 facility vs 13,995 (68.5%) patients who sought care at 1 facility (P < .001). For patients with pN2 disease, 3991 (84.4%) received GCC if they visited >1 facility vs9369 (77.4%) patients receiving care at 1 facility (P < .001). Visiting >1 facility was associated with higher OS at 5 years (4784 [54.35%] vs 10,215 [45.62%]; P < .001). CONCLUSIONS: Visiting >1 CoC institution is associated with higher rates of GCC for individuals with pN1 to pN2 lung cancer. Patients who received care at >1 facility had higher OS at 5 years. Further study is warranted to identify factors associated with the ability of patients to seek care at multiple facilities.