Medicine and Health Sciences Commons^™

Transcranial Direct Current Stimulation On Parkinson’S Disease: Systematic Review And Meta-Analysis, Paloma Cristina Alves De Oliveira, Thiago Anderson Brito De Araújo, Daniel Gomes Da Silva Machado, Abner Cardoso Rodrigues, Marom Bikson, Suellen Marinho Andrade, Alexandre Hideki Okano, Hougelle Simplicio, Rodrigo Pegado, Edgard Morya

Publications and Research

Background: Clinical impact of transcranial direct current stimulation (tDCS) alone for Parkinson’s disease (PD) is still a challenge. Thus, there is a need to synthesize available results, analyze methodologically and statistically, and provide evidence to guide tDCS in PD.

Objective: Investigate isolated tDCS effect in different brain areas and number of stimulated targets on PD motor symptoms.

Methods: A systematic review was carried out up to February 2021, in databases: Cochrane Library, EMBASE, PubMed/MEDLINE, Scopus, and Web of science. Full text articles evaluating effect of active tDCS (anodic or cathodic) vs. sham or control on motor symptoms of PD were …

A Systematic Review And Meta-Analysis On The Efficacy Of Stem Cell Therapy On Bone Brittleness In Mouse Models Of Osteogenesis Imperfecta, Lauren Battle, Shoshana Yakar, Alessandra Carriero

Publications and Research

There is no cure for osteogenesis imperfecta (OI), and current treatments can only partially correct the bone phenotype. Stem cell therapy holds potential to improve bone quality and quantity in OI. Here, we conduct a systematic review and meta-analysis of published studies to investigate the efficacy of stem cell therapy to rescue bone brittleness in mouse models of OI. Identified studies included bone marrow, mesenchymal stem cells, and human fetal stem cells. Effect size of fracture incidence, maximum load, stiffness, cortical thickness, bone volume fraction, and raw engraftment rates were pooled in a random-effects meta-analysis. Cell type, cell number, injection …

Is Burnout A Depressive Condition? A 14-Sample Meta-Analytic And Bifactor Analytic Study, Renzo Bianchi, Jay Verkuilen, Irvin S. Schonfeld, Jari J. Hakanen, Markus Jansson-Fröjmark, Guadalupe Manzano-García, Eric Laurent, Laurenz L. Meier

Publications and Research

There is no consensus on whether burnout constitutes a depressive condition or an original entity requiring specific medical and legal recognition. In this study, we examined burnout–depression overlap using 14 samples of individuals from various countries and occupational domains (N = 12,417). Meta-analytically pooled disattenuated correlations indicated (a) that exhaustion—burnout’s core—is more closely associated with depressive symptoms than with the other putative dimensions of burnout (detachment and efficacy) and (b) that the exhaustion–depression association is problematically strong from a discriminant validity standpoint (r = .80). The overlap of burnout’s core dimension with depression was further illuminated in 14 exploratory structural …

Inquiry Into The Correlation Between Burnout And Depression, Irvin Sam Schonfeld, Jay Verkuilen, Renzo Bianchi

Publications and Research

The extent to which burnout refers to anything other than a depressive condition remains an object of controversy among occupational health specialists. In three studies conducted in two different countries and two different languages, we investigated the discriminant validity of burnout scales by evaluating the magnitude of the correlation between (latent) burnout and (latent) depression. In Study 1 (N = 911), burnout was assessed with the Maslach Burnout Inventory–General Survey’s Exhaustion subscale and depression with the depression module of the Patient Health Questionnaire (PHQ). In Study 2 (N = 1,386), the Shirom–Melamed Burnout Measure was used to assess burnout and …

Data And Statistical Methods To Analyze The Human Microbiome, Levi Waldron

Publications and Research

The Waldron lab for computational biostatistics bridges the areas of cancer genomics and microbiome studies for public health, developing methods to exploit publicly available data resources and to integrate-omics studies.

Statistical Learning In Specific Language Impairment And Autism Spectrum Disorder: A Meta-Analysis, Rita Obeid, Patricia J. Brooks, Kasey L. Powers, Kristen Gillespie-Lynch, Jarrad A. G. Lum

Publications and Research

Impairments in statistical learning might be a common deficit among individuals with Specific Language Impairment (SLI) and Autism Spectrum Disorder (ASD). Using metaanalysis, we examined statistical learning in SLI (14 studies, 15 comparisons) and ASD (13 studies, 20 comparisons) to evaluate this hypothesis. Effect sizes were examined as a function of diagnosis across multiple statistical learning tasks (Serial Reaction Time, Contextual Cueing, Artificial Grammar Learning, Speech Stream, Observational Learning, and Probabilistic Classification). Individuals with SLI showed deficits in statistical learning relative to age-matched controls. In contrast, statistical learning was intact in individuals with ASD relative to controls. Effect sizes did …

Bayesian Nonparametric Cross-Study Validation Of Prediction Methods, Lorenzo Trippa, Levi Waldron, Curtis Huttenhower, Giovanni Parmigiani

Publications and Research

We consider comparisons of statistical learning algorithms using multiple data sets, via leave-one-in cross-study validation: each of the algorithms is trained on one data set; the resulting model is then validated on each remaining data set. This poses two statistical challenges that need to be addressed simultaneously. The first is the assessment of study heterogeneity, with the aim of identifying a subset of studies within which algorithm comparisons can be reliably carried out. The second is the comparison of algorithms using the ensemble of data sets. We address both problems by integrating clustering and model comparison. We formulate a Bayesian …

Meta-Analysis: Prophylactic Drainage And Bleeding Complications In Thyroid Surgery, Steven A. Kennedy, Robert A. Irvine, Brian D. Westerberg, Hongbin Zhang

Publications and Research

Objective: To conduct a comprehensive systematic review and high-quality meta-analysis to determine whether prophylactic drain placement reduces adverse bleeding events in thyroid surgery.

Data Sources: MEDLINE (OVID and PubMed), CENTRAL, CDSR, ACP Journal Club, DARE, EMBASE, PREMEDUNE, OLDMEDLINE, CINAHL, BIOSIS Previews, LILACS, KOREAMED, SAMED, IndMED, SIGLE, ScienceDirect, and INGENTACONNECT.

Review Methods: Studies for evaluation included all prospective trials assessing the use of drainage in thyroid surgery. We excluded case studies, retrospective studies, reviews, and studies that had a "selective" method of postoperative drainage that was not defined or was based on surgeon preference. Search strategies were broad and …