tbuckley/cabot-search huggingface dataset:
Generalizability challenges in applied psychological and organizational research and practice
Authors: Brenton M. Wiernik, Mukhunth Raghavan, Tyler Allan, Alex J. Denison
Journal: Behavioral and Brain Sciences (2022)

Abstract Yarkoni highlights patterns of overgeneralization in psychology research. In this comment, we note that such challenges also pertain to applied psychological and organizational research and practice. We use two examples – cross-cultural generalizability and implicit bias training – to illustrate common practices of overgeneralization from narrow research samples to broader operational populations. We conclude with recommendations for research and practice.
Use of Rollover Protective Structures—Iowa, Kentucky, New York, and Ohio, 1992-1997
Authors: Craig Zwerling, Leon Burmeister, S. Reynolds, Robert H. McKnight, Steven R. Browning, Deborah Reed, John Wilkins Iii, T. Bean, L. Mitchell, Eric Hallman, John J. May, A. Stark
Journal: JAMA (1997)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA HomeNew OnlineCurrent IssueFor Authors Podcasts Clinical Reviews Editors' Summary Medical News Author Interviews More Publications JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA journal
Patients With Myocarditis Associated With COVID-19 Vaccination
Authors: Carolyn M. Rosner, Melany Atkins, Ibrahim M. Saeed, James A. de Lemos, Amit Khera, Alireza Maghsoudi, Jean Min, Behnam N. Tehrani, Christopher M. O’Connor, Christopher R. deFilippi
Journal: Journal of the American College of Cardiology (2022)
Abstract MP45: Metabolomic Profiling Provides Novel Insights Into The Biochemical Mechanism Of Mental Stress-induced Ischemia
Authors: Zakaria Almuwaqqat, Chang Liu, Kasra Moazzami, Amit J Shah, Yan Sun, J Douglas Bremner, Dean Jones, Viola Vaccarino, Arshed A Quyyumi
Journal: Circulation (2022)

Introduction: Mental stress-induced myocardial ischemia (MSI) is a marker of future cardiovascular events. The underlying biochemical mechanisms of this cardiovascular condition are poorly understood. Our objective was to use metabolic profiling to identify biochemical changes associated with mental stress (MS) in patients with stable coronary artery disease (CAD) and investigate differential pathways that are involved in MSI. Methods: A total of 110 Individuals with stable CAD who participated in the Mental Stress Ischemia Prognosis Study (MIPS) underwent a standardized mental stress to provoke of myocardial ischemia, detected with single-photon emission tomography. Plasma samples were obtained before and after MS at 45 and 90 minutes and metabolomic profiling was performed using liquid chromatography/mass spectrometry using a confirmed 500 compounds. Metabolomic features and pathways associated with ischemia using metabolome-wide association studies and Mummichog, respectively. Results: The sample involved a subset case-control for (MSI+ vs MSI-). At 45 minutes and 90 minutes, there were significant stress-induced changes in several compounds. There was a significant upregulation of metabolites associated with lipid signaling et ( p = 0.025, Inosine diphosphate). A comparison between the MSI+ and MS- groups showed differential upregulation of DNA methylation metabolites ( p = .036, 5-Methylcytosine hydrochloride) at 45 minutes and microbiome-related metabolites at 90 minutes (P=0.041, N, N-dimethyl-1,4-phenylenediamine). Pathway analyses were consistent with the aforementioned findings. Conclusion: Upregulation of metabolic pathways involved in DNA methylation and microbial metabolism is differentially associated with MSI. These findings provide novel mechanistic insights into the association between acute mental stress and myocardial ischemia as a marker for cardiovascular vulnerability in patients with CAD
Abstract 012: Genome-wide Association Studies (GWAS) Of Obesity Duration, Severity, And Distribution Trajectories In The Atherosclerosis Risk In Communities Study (ARIC)
Authors: Aylin Memili, Annie Green G Howard, Anne E Justice, Yujie Wang, Mariaelisa Graff, Heather M. Highland, Laura M Raffield, Christy L Avery, Penny Gordon-Larsen, Kari E North
Journal: Circulation (2022)

Introduction: Despite decades of research linking obesity with cardiovascular disease (CVD) and its risk factors, major research gaps remain, with few studies evaluating the often-described but poorly understood heterogeneity in CVD risk observed within obese populations. One plausible, but largely unexplored source of heterogeneity in obesity-associated CVD risk is the impact of body fat distribution (central versus overall obesity), obesity duration and severity. Longitudinally assessed anthropometric measures and GWAS derived from these exposures may improve understanding of functional properties of loci associated with obesity and downstream influences on CVD. Methods: We respond to these research gaps by using 25 years of Atherosclerosis Risk in Communities (N=14,514, mean baseline age=54 years; 55% Female; 25.73% African-American) data and latent class mixed models to derive four longitudinal measures of obesity distribution, duration, and severity, operationalized as obesity subtypes. Genome wide association studies on the subclasses were conducted using logistic multi-variate regression models to test for associations between variants and BMI. Meta-analyses across race and sex were conducted in METAL. Functional properties of single nucleotide polymorphisms (SNP) were assessed in FUMA. Results: The four obesity subclasses were: decline (4.1%), stable/slow decline (67.8%) [referent], moderate increase (24.6%), and rapid increase (3.6%). The lead SNP from the decline group was known, on chromosome 7 (rs1196508, beta (SE) = -0.44 (0.089), p = 6.84x10 -7 , minor allele frequency (MAF) = 0.36), and nearest to a tyrosine phosphatase receptor, PTPRZ1 , in the central nervous system. We combined moderate and rapid increase for analyses; they shared a common top, unknown, SNP on chromosome 5 (rs76956550, beta (SE) = -0.37 (0.074), MAF=0.12), nearest to PGAM5P1 . The top SNP within the rapid increase group was unknown, on chromosome 14 (rs580888, beta(SE) = -0.57 (0.11), MAF=0.35), and nearest to the OTX2 gene, a transcription factor involved in production of dopaminergic neurons. Mutations of this gene are associated with pituitary hormone deficiency. Conclusion: Our GWAS of obesity subclasses demonstrated unique genetic and functional properties between groups, supporting the contention that CVD risk may differ across obese individuals. We intend to replicate our novel association of OTX2 with BMI, waist-to-hip ratio, and waist circumference in people who rapidly gained weight in other large longitudinal cohorts.
Advances in Recurrent Stroke Prevention: Focus on Antithrombotic Therapies
Authors: Brian Mac Grory, Shadi Yaghi, Charlotte Cordonnier, Luciano A. Sposato, Jose G. Romano, Seemant Chaturvedi
Journal: Circulation Research (2022)

The past decade has seen significant advances in stroke prevention. These advances include new antithrombotic agents, new options for dyslipidemia treatment, and novel techniques for surgical stroke prevention. In addition, there is greater recognition of the benefits of multifaceted interventions, including the role of physical activity and dietary modification. Despite these advances, the aging of the population and the high prevalence of key vascular risk factors pose challenges to reducing the burden of stroke. Using a cause-based framework, current approaches to prevention of cardioembolic, cryptogenic, atherosclerotic, and small vessel disease stroke are outlined in this paper. Special emphasis is given to recent trials of antithrombotic agents, including studies that have tested combination treatments and responses according to genetic factors.
Mortality and Second Cancer Incidence After Treatment for Testicular Cancer: Psychosocial Health and Lifestyle Are Modifiable Prognostic Factors
Authors: Sophie D. Fosså, Alv A. Dahl, Lene Thorsen, Ragnhild Hellesnes, Cecilie E. Kiserud, Torgrim Tandstad, Marianne Brydøy, Hege S. Haugnes, Tor Å. Myklebust
Journal: Journal of Clinical Oncology (2022)

To evaluate whether selected modifiable patient-reported adverse health outcomes (AHOs) in testicular cancer survivors (TCSs) represent prognostic factors of overall mortality, cancer mortality, and first-time non-germ cell second cancer (SecCa) incidence.In 775 long-term TCSs (diagnosis: 1980-1994) who previously participated in a quality-of-life survey, 20-year mortality and SecCa incidence were compared between the surgery group (n = 272) and TCSs after platinum-based chemotherapy (PBCT; n = 503). A PBCT standard group (total cisplatin: ≤ 630 mg: n = 124) was separated from a PBCT high subgroup (total cisplatin: > 630 mg; n = 379). Univariate and multivariate analyses (Kaplan-Meier; Cox proportional hazard analyses) included age, treatment, and prior major physical comorbidity as nonmodifiable factors, whereas low socioeconomic status, unhealthy lifestyle, probable depression disorder, and neurotoxicity were modifiable AHOs.For all TCSs, the cumulative overall 20-year mortality was 14% (95% CI, 11.8 to 16.8). Rising age, PBCT high, and comorbidity significantly increased the risk of overall mortality rate. Compared with a low-risk group (no AHO; n = 446) and with exception of neurotoxicity, this risk was further significantly enhanced by 80% in TCSs of a medium-risk group (one or two AHOs; n = 278). In men of a high-risk group (three AHOs; n = 47), the probability of overall mortality and of cancer mortality was eight-fold and five-fold increased, respectively. Risk grouping did not influence on SecCa incidence.Self-reported unfavorable modifiable AHO concerning lifestyle and psychosocial health are in TCSs independently and significantly associated with increased overall mortality and cancer mortality. Health professionals and the TCSs themselves, particularly those after PBCT high, should continuously be aware of these risk factors attempting maximal reduction of these AHOs and thereby supporting long-term survival.
Blockchain applications in health care for COVID-19 and beyond: a systematic review
Authors: Wei Yan Ng, Tien-En Tan, Prasanth V H Movva, Andrew Hao Sen Fang, Khung-Keong Yeo, Dean Ho, Fuji Shyy San Foo, Zhe Xiao, Kai Sun, Tien Yin Wong, Alex Tiong-Heng Sia, Daniel Shu Wei Ting
Journal: The Lancet Digital Health (2021)
Clarification of Conflict of Interest Disclosures
Authors: Sean C. Mackey
Journal: JAMA Surgery (2022)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Surgery HomeNew OnlineCurrent IssueFor Authors Podcast Journals JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Surgery journal
Association of Glyphosate Exposure with Blood DNA Methylation in a Cross-Sectional Study of Postmenopausal Women
Authors: Rachel M. Lucia, Wei-Lin Huang, Khyatiben V. Pathak, Marissa McGilvrey, Victoria David-Dirgo, Andrea Alvarez, Deborah Goodman, Irene Masunaka, Andrew O. Odegaard, Argyrios Ziogas, Patrick Pirrotte, Trina M. Norden-Krichmar, Hannah Lui Park
Journal: Environmental Health Perspectives (2022)

Background: Glyphosate is the most commonly used herbicide in the world and is purported to have a variety of health effects, including endocrine disruption and an elevated risk of several types of cancer. Blood DNA methylation has been shown to be associated with many other environmental exposures, but to our knowledge, no studies to date have examined the association between blood DNA methylation and glyphosate exposure. Objective: We conducted an epigenome-wide association study to identify DNA methylation loci associated with urinary glyphosate and its metabolite aminomethylphosphonic acid (AMPA) levels. Secondary goals were to determine the association of epigenetic age acceleration with glyphosate and AMPA and develop blood DNA methylation indices to predict urinary glyphosate and AMPA levels. Methods: For 392 postmenopausal women, white blood cell DNA methylation was measured using the Illumina Infinium MethylationEPIC BeadChip array. Glyphosate and AMPA were measured in two urine samples per participant using liquid chromatography–tandem mass spectrometry. Methylation differences at the probe and regional level associated with glyphosate and AMPA levels were assessed using a resampling-based approach. Probes and regions that had an false discovery rate q<0.1 in ≥90% of 1,000 subsamples of the study population were considered differentially methylated. Differentially methylated sites from the probe-specific analysis were combined into a methylation index. Epigenetic age acceleration from three epigenetic clocks and an epigenetic measure of pace of aging were examined for associations with glyphosate and AMPA. Results: We identified 24 CpG sites whose methylation level was associated with urinary glyphosate concentration and two associated with AMPA. Four regions, within the promoters of the MSH4, KCNA6, ABAT, and NDUFAF2/ERCC8 genes, were associated with glyphosate levels, along with an association between ESR1 promoter hypomethylation and AMPA. The methylation index accurately predicted glyphosate levels in an internal validation cohort. AMPA, but not glyphosate, was associated with greater epigenetic age acceleration. Discussion: Glyphosate and AMPA exposure were associated with DNA methylation differences that could promote the development of cancer and other diseases. Further studies are warranted to replicate our results, determine the functional impact of glyphosate- and AMPA-associated differential DNA methylation, and further explore whether DNA methylation could serve as a biomarker of glyphosate exposure. https://doi.org/10.1289/EHP10174
Thrombectomy in Acute Ischemic Stroke
Authors: David C. Lauzier, Akash P. Kansagra
Journal: New England Journal of Medicine (2022)

A 63-year-old man presented with weakness on the left side and difficulty speaking, both of which had begun 6 hours earlier. Imaging revealed a complete occlusion of the right internal carotid artery. He received emergency endovascular therapy.
The Genomic Landscape of Early-Stage Ovarian High-Grade Serous Carcinoma
Authors: Zhao Cheng, Hasan Mirza, Darren P. Ennis, Philip Smith, Lena Morrill Gavarró, Chishimba Sokota, Gaia Giannone, Theodora Goranova, Thomas Bradley, Anna Piskorz, Michelle Lockley, Baljeet Kaur, Naveena Singh, Laura A. Tookman, Jonathan Krell, Jacqueline McDermott, Geoffrey Macintyre, Florian Markowetz, James D. Brenton, Iain A. McNeish
Journal: Clinical Cancer Research (2022)

Abstract Purpose: Ovarian high-grade serous carcinoma (HGSC) is usually diagnosed at late stage. We investigated whether late-stage HGSC has unique genomic characteristics consistent with acquisition of evolutionary advantage compared with early-stage tumors. Experimental Design: We performed targeted next-generation sequencing and shallow whole-genome sequencing (sWGS) on pretreatment samples from 43 patients with FIGO stage I–IIA HGSC to investigate somatic mutations and copy-number (CN) alterations (SCNA). We compared results to pretreatment samples from 52 patients with stage IIIC/IV HGSC from the BriTROC-1 study. Results: Age of diagnosis did not differ between early-stage and late-stage patients (median 61.3 years vs. 62.3 years, respectively). TP53 mutations were near-universal in both cohorts (89% early-stage, 100% late-stage), and there were no significant differences in the rates of other somatic mutations, including BRCA1 and BRCA2. We also did not observe cohort-specific focal SCNA that could explain biological behavior. However, ploidy was higher in late-stage (median, 3.0) than early-stage (median, 1.9) samples. CN signature exposures were significantly different between cohorts, with greater relative signature 3 exposure in early-stage and greater signature 4 in late-stage. Unsupervised clustering based on CN signatures identified three clusters that were prognostic. Conclusions: Early-stage and late-stage HGSCs have highly similar patterns of mutation and focal SCNA. However, CN signature analysis showed that late-stage disease has distinct signature exposures consistent with whole-genome duplication. Further analyses will be required to ascertain whether these differences reflect genuine biological differences between early-stage and late-stage or simply time-related markers of evolutionary fitness. See related commentary by Yang et al., p. 2730
Abstract P232: Associations Between Income And Education With ASCVD Risk, NHANES, 1999-2018
Authors: Lauren Nahodyl, Lilliana Vilchez, Robert A Mesa, Julien Tremblay, Tali Elfassy
Journal: Circulation (2022)

Introduction: Factors used to calculate cardiovascular disease (CVD) risk scores include age, sex, race, cholesterol, blood pressure, diabetes, and smoking status, but exclude social determinants of health (SDOH). Objectives: To determine whether SDOH factors are independently associated with CVD risk. Methods: The National Health and Nutrition Examination Survey is an annual, cross-sectional representative survey of the US adult population. We combined years 1999-2018 and included participants age 40-79 without CVD history, and with information to calculate CVD risk (n=23,877). Ten-year risk of ASCVD was calculated using the AHA/ACC pooled cohort equation. SDOH were conceptualized using self-reported educational attainment and income. We used linear regression models to estimate the association between SDOH and ASCVD risk adjusting for age, sex, race, marital status, and insurance. All analyses accounted for the complex survey design. Results: Among US adults, income of ≥ $100k was reported in 23% (SE: 1.1) of those with CVD risk &lt;5%, but only 10% (SE: 0.9) of those with CVD risk ≥ 20%. Similarly, having graduated college was reported in 38% (SE: 1.1) of those with CVD risk &lt; 5% but only 20% (SE: 0.9) of those with CVD risk ≥ 20%. From fully adjusted linear regression models, compared to those with highest income (&gt;$100k), income &lt; $25k was associated with a 5.3% (95% CI: 4.5, 6.1) greater CVD risk, while individuals at income levels $25k-$44.9k, $45-74.9k, and $75-$99.9k, experienced a 3.2% (95% CI: 2.4, 4.1), 1.5% (95% CI: 0.8, 1.5), and 1.1% (95% CI: 0.5, 1.7), greater CVD risk, respectively. Additionally, compared to college graduates, less than a high school education was associated with a 4.4% (95% CI: 3.7, 5.1) greater CVD risk, while high school graduates or some amount of college still experienced a 2.8% (95% CI: 2.3, 3.3) and 1.6% (95% CI: 1.2, 2.1) greater CVD risk, respectively. Conclusion: In a large US population-based sample of adults, we found strong graded associations between lower income and lower educational attainment with greater CVD risk. Though SDOH are not inputs into calculators of ASCVD risk, they are strongly associated with ASCVD risk scores.
Expansion of the prime editing modality with Cas9 from Francisella novicida
Authors: Yeounsun Oh, Wi-jae Lee, Junho K. Hur, Woo Jeung Song, Youngjeon Lee, Hanseop Kim, Lee Wha Gwon, Young-Hyun Kim, Young-Ho Park, Chan Hyoung Kim, Kyung-Seob Lim, Bong-Seok Song, Jae-Won Huh, Sun-Uk Kim, Bong-Hyun Jun, Cheulhee Jung, Seung Hwan Lee
Journal: Genome biology (2022)

Prime editing can induce a desired base substitution, insertion, or deletion in a target gene using reverse transcriptase after nick formation by CRISPR nickase. In this study, we develop a technology that can be used to insert or replace external bases in the target DNA sequence by linking reverse transcriptase to the Francisella novicida Cas9, which is a CRISPR-Cas9 ortholog. Using FnCas9(H969A) nickase, the targeting limitation of existing Streptococcus pyogenes Cas9 nickase [SpCas9(H840A)]-based prime editing is dramatically extended, and accurate prime editing is induced specifically for the target genes in human cell lines.
Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions
Authors: Mason Kadem, Louis Garber, Mohamed Abdelkhalek, Baraa K. Al-Khazraji, Zahra Keshavarz-Motamed
Journal: IEEE Reviews in Biomedical Engineering (2022)

Cardiovascular disease is a deadly global health crisis that carries a substantial financial burden. Innovative treatment and management of cardiovascular disease straddles medicine, personalized hemodynamic modeling, machine learning, and modern imaging to help improve patient outcomes and reduce the economic impact. Hemodynamic modeling offers a non-invasive method to provide clinicians with new pre- and post- procedural metrics and aid in the selection of treatment options. Medical imaging is an integral part in clinical workflows for understanding and managing cardiac disease and interventions. Coupling machine learning with modeling, and cardiovascular imaging, provides faster modeling, improved data fidelity, and an enhanced understanding and earlier detection of cardiovascular anomalies, leading to the development of patient-specific diagnostic and predictive tools for characterizing and assessing cardiovascular outcomes. Herein, we provide a scoping review of translational hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions. We particularly focus on providing an intuitive understanding of each of these approaches and their ability to support decision making during important clinical milestones.