Recent Publications by CFE Educators

Recent Published articles, books, and other scholarship by Academy members, CFE Education Scientists, and CFE Faculty.
Automated abstraction of myocardial perfusion imaging reports using natural language processing.
2020
Authors: Zheng C, Sun BC, Wu YL, Ferencik M, Lee MS, Redberg RF, Kawatkar AA, Musigdilok VV, Sharp AL
The One-Two Punch of Delirium and Dementia During the COVID-19 Pandemic and Beyond.
2020
Authors: LaHue SC, Douglas VC, Miller BL
Endoscopic Recognition and Management Strategies for Malignant Colorectal Polyps: Recommendations of the US Multi-Society Task Force on Colorectal Cancer.
2020
Authors: Shaukat A, Kaltenbach T, Dominitz JA, Robertson DJ, Anderson JC, Cruise M, Burke CA, Gupta S, Lieberman D, Syngal S, Rex DK
Current Transplant Criteria for Hepatocellular Carcinoma—Overuse or Underuse.
2020
Authors: Varun Saxena, Neil Mehta
Cognitive impact of lower-grade gliomas and strategies for rehabilitation.
2020
Authors: Weyer-Jamora C, Brie MS, Luks TL, Smith EM, Braunstein SE, Villanueva-Meyer JE, Bracci PM, Chang S, Hervey-Jumper SL, Taylor JW
Outcomes for patients with lower-grade gliomas (LrGGs) continue to improve with advances in molecular characterization and treatment. However, cognitive sequela from the tumor and its treatment leave a significant impact on health-related quality of life for these patients. Several factors affect each patient's cognition, such as tumor location, treatment, medication, and comorbidities. However, impairments of processing speed, attention, concentration, working memory, and executive function are common across LrGG patients. Cognitive rehabilitation strategies, well established in traumatic brain injury and stroke populations, are based on neural plasticity and functional reorganization. Adapting these strategies for implementation in patients with brain tumors is an active area of research. This article provides an overview of cognitive domains commonly impaired in LrGG patients and evidence for the use of cognitive rehabilitation strategies to address these impairments with the goal of improving health-related quality of life in this patient population.
View on PubMedUsing a time out: Reimagining professional identity formation after the pandemic.
2020
Authors: Stetson GV, Dhaliwal G
The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs.
2020
Authors: Tolsgaard MG, Boscardin CK, Park YS, Cuddy MM, Sebok-Syer SS
Association Between Alzheimer Disease and Cancer With Evaluation of Study Biases: A Systematic Review and Meta-analysis.
2020
Authors: Ospina-Romero M, Glymour MM, Hayes-Larson E, Mayeda ER, Graff RE, Brenowitz WD, Ackley SF, Witte JS, Kobayashi LC
IMPORTANCE
Observational studies consistently report inverse associations between cancer and Alzheimer disease (AD). Shared inverse etiological mechanisms might explain this phenomenon, but a systematic evaluation of methodological biases in existing studies is needed.
OBJECTIVES
To systematically review and meta-analyze evidence on the association between cancer and subsequent AD, systematically identify potential methodological biases in studies, and estimate the influence of these biases on the estimated pooled association between cancer and AD.
DATA SOURCES
All-language publications were identified from PubMed, Embase, and PsycINFO databases through September 2, 2020.
STUDY SELECTION
Longitudinal cohort studies and case-control studies on the risk of AD in older adults with a history of any cancer type, prostate cancer, breast cancer, colorectal cancer, or nonmelanoma skin cancer, relative to those with no cancer history.
DATA EXTRACTION AND SYNTHESIS
Two reviewers independently abstracted the data and evaluated study biases related to confounding, diagnostic bias, competing risks, or survival bias. Random-effects meta-analysis was used to provide pooled estimates of the association between cancer and AD. Metaregressions were used to evaluate whether the observed pooled estimate could be attributable to each bias. The study was designed and conducted according to the Preferring Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline.
MAIN OUTCOMES AND MEASURES
Incidence, hazard, or odds ratios for AD comparing older adults with vs without a previous cancer diagnosis.
RESULTS
In total, 19 cohort studies and 3 case-control studies of the associations between any cancer type (n = 13), prostate cancer (n = 5), breast cancer (n = 1), and nonmelanoma skin cancer (n = 3) with AD were identified, representing 9 630 435 individuals. In all studies combined, cancer was associated with decreased AD incidence (cohort studies: random-effects hazard ratio, 0.89; 95% CI, 0.79-1.00; case-control studies: random-effects odds ratio, 0.75; 95% CI, 0.61-0.93). Studies with insufficient or inappropriate confounder control or greater likelihood of AD diagnostic bias had mean hazard ratios closer to the null value, indicating that these biases could not explain the observed inverse association. Competing risks bias was rare. Studies with greater likelihood of survival bias had mean hazard ratios farther from the null value.
CONCLUSIONS AND RELEVANCE
The weak inverse association between cancer and AD may reflect shared inverse etiological mechanisms or survival bias but is not likely attributable to diagnostic bias, competing risks bias, or insufficient or inappropriate control for potential confounding factors.
View on PubMedGeneralized tetanus in a landscaper without obvious wounds.
2020
Authors: Sivasubramanian G
Tetanus is rare and potentially fatal infection in the US. Its incidence has declined dramatically over the years in developed countries due to robust immunization programs. We describe a case of generalized tetanus in a 66-year-old inadequately vaccinated landscaper who presented with classical symptoms but did not have any open wounds leading to delay in initial diagnosis but was successfully managed once the diagnosis was established.
View on PubMedStiff stroma increases breast cancer risk by inducing the oncogene ZNF217.
2020
Authors: Northey JJ, Barrett AS, Acerbi I, Hayward MK, Talamantes S, Dean IS, Mouw JK, Ponik SM, Lakins JN, Huang PJ, Wu J, Shi Q, Samson S, Keely PJ, Mukhtar RA, Liphardt JT, Shepherd JA, Hwang ES, Chen YY, Hansen KC, Littlepage LE, Weaver VM
Women with dense breasts have an increased lifetime risk of malignancy that has been attributed to a higher epithelial density. Quantitative proteomics, collagen analysis, and mechanical measurements in normal tissue revealed that stroma in the high-density breast contains more oriented, fibrillar collagen that is stiffer and correlates with higher epithelial cell density. microRNA (miR) profiling of breast tissue identified miR-203 as a matrix stiffness-repressed transcript that is downregulated by collagen density and reduced in the breast epithelium of women with high mammographic density. Culture studies demonstrated that ZNF217 mediates a matrix stiffness- and collagen density-induced increase in Akt activity and mammary epithelial cell proliferation. Manipulation of the epithelium in a mouse model of mammographic density supported a causal relationship between stromal stiffness, reduced miR-203, higher levels of the murine homolog Zfp217, and increased Akt activity and mammary epithelial proliferation. ZNF217 was also increased in the normal breast epithelium of women with high mammographic density, correlated positively with epithelial proliferation and density, and inversely with miR-203. The findings identify ZNF217 as a potential target toward which preexisting therapies, such as the Akt inhibitor triciribine, could be used as a chemopreventive agent to reduce cancer risk in women with high mammographic density.
View on PubMed