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result(s) for
"Joseph, J."
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Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances
Brain injury in premature infants is of enormous public health importance because of the large number of such infants who survive with serious neurodevelopmental disability, including major cognitive deficits and motor disability. This type of brain injury is generally thought to consist primarily of periventricular leukomalacia (PVL), a distinctive form of cerebral white matter injury. Important new work shows that PVL is frequently accompanied by neuronal/axonal disease, affecting the cerebral white matter, thalamus, basal ganglia, cerebral cortex, brain stem, and cerebellum. This constellation of PVL and neuronal/axonal disease is sufficiently distinctive to be termed “encephalopathy of prematurity”. The thesis of this Review is that the encephalopathy of prematurity is a complex amalgam of primary destructive disease and secondary maturational and trophic disturbances. This Review integrates the fascinating confluence of new insights into both brain injury and brain development during the human premature period.
Journal Article
Secret sabertooth
2007
PaleoJoe, his eleven-year-old assistant Shelly, her classmate Dakota, and new friend Sarra fly to California to investigate a mystery involving Sarra's brother, saber-tooth fossils, and the La Brea Tar Pits.
Selection Bias Due to Loss to Follow Up in Cohort Studies
by
Napravnik, Sonia
,
Lau, Bryan
,
Cole, Stephen R.
in
Adult
,
Cohort Studies
,
Data Interpretation, Statistical
2016
Selection bias due to loss to follow up represents a threat to the internal validity of estimates derived from cohort studies. Over the past 15 years, stratification-based techniques as well as methods such as inverse probability-of-censoring weighted estimation have been more prominently discussed and offered as a means to correct for selection bias. However, unlike correcting for confounding bias using inverse weighting, uptake of inverse probability-of-censoring weighted estimation as well as competing methods has been limited in the applied epidemiologic literature. To motivate greater use of inverse probability-of-censoring weighted estimation and competing methods, we use causal diagrams to describe the sources of selection bias in cohort studies employing a time-to-event framework when the quantity of interest is an absolute measure (e.g., absolute risk, survival function) or relative effect measure (e.g., risk difference, risk ratio). We highlight that whether a given estimate obtained from standard methods is potentially subject to selection bias depends on the causal diagram and the measure. We first broadly describe inverse probability-of-censoring weighted estimation and then give a simple example to demonstrate in detail how inverse probability-of-censoring weighted estimation mitigates selection bias and describe challenges to estimation. We then modify complex, real-world data from the University of North Carolina Center for AIDS Research HIV clinical cohort study and estimate the absolute and relative change in the occurrence of death with and without inverse probability-of-censoring weighted correction using the modified University of North Carolina data. We provide SAS code to aid with implementation of inverse probability-of-censoring weighted techniques.
Journal Article
B cells in autoimmune and neurodegenerative central nervous system diseases
by
Sabatino, Joseph J
,
Zamvil, Scott S
,
Pröbstel, Anne-Katrin
in
Alzheimer's disease
,
Antigen presentation
,
Autoantibodies
2019
B cells are essential components of the adaptive immune system and have important roles in the pathogenesis of several central nervous system (CNS) diseases. Besides producing antibodies, B cells perform other functions, including antigen presentation to T cells, production of proinflammatory cytokines and secretion of anti-inflammatory cytokines that limit immune responses. B cells can contribute to CNS disease either through their actions in the periphery (meaning that they have an ‘outside-in’ effect on CNS immunopathology) or following their compartmentalization within the CNS. The success of B cell-depleting therapy in patients with multiple sclerosis and CNS diseases with an autoantibody component, such as neuromyelitis optica spectrum disorder and autoimmune encephalitides, has underscored the role of B cells in both cellular and humoral-mediated CNS conditions. Emerging evidence suggests B cells also contribute to the pathogenesis of neurodegenerative diseases, including Alzheimer disease and Parkinson disease. Advancing our understanding of the role of B cells in neuroinflammatory and neurodegenerative diseases could lead to novel therapeutic approaches.
Journal Article
Should we be “challenging” employees?
2019
The challenge-hindrance model of stress proposes that stressors can be divided into two distinct groups: those that challenge employees and those that hinder employees. This critical review seeks to explain the history of the model and its basic tenets, while succinctly summarizing the findings of existing studies based on the model. A thorough search of the stress literature uncovered 32 studies that specifically examined the relationship between challenge and hindrance stressors and important personal/organizational variables. Results were reviewed and analyzed, specifically by describing past meta-analyses on the model, looking at the overall pattern of results from primary studies, and meta-analyzing the relationships presented in those papers. This synthesis suggests that although there are some differential relationships of challenge and hindrance stressors with organizational variables (e.g., performance and engagement), the relationships to other key variables, such as counterproductive work behaviors, psychological strains, and physical health, are consistently negative for both challenge and hindrance stressors. Thus, we propose that stress research move away from the current challenge-hindrance model in favor of other established models and/or a more appraisal-based approach.
Journal Article
Juvenile incarceration, human capital, and future crime
2015
Over 130,000 juveniles are detained in the United States each year with 70,000 in detention on any given day, yet little is known about whether such a penalty deters future crime or interrupts social and human capital formation in a way that increases the likelihood of later criminal behavior. This article uses the incarceration tendency of randomly assigned judges as an instrumental variable to estimate causal effects of juvenile incarceration on high school completion and adult recidivism. Estimates based on over 35,000 juvenile offenders over a 10-year period from a large urban county in the United States suggest that juvenile incarceration results in substantially lower high school completion rates and higher adult incarceration rates, including for violent crimes. In an attempt to understand the large effects, we found that incarceration for this population could be very disruptive, greatly reducing the likelihood of ever returning to school and, for those who do return, significantly increasing the likelihood of being classified as having an emotional or behavioral disorder.
Journal Article