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Institution

University of Texas Medical Branch

EducationGalveston, Texas, United States
About: University of Texas Medical Branch is a education organization based out in Galveston, Texas, United States. It is known for research contribution in the topics: Population & Virus. The organization has 22033 authors who have published 38268 publications receiving 1517502 citations. The organization is also known as: The University of Texas Medical Branch at Galveston & UTMB.


Papers
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Journal ArticleDOI
TL;DR: Prevalence of hepatitis C cirrhosis and its complications will continue to increase through the next decade and will mostly affect those older than 60 years of age, but wider application of antiviral treatment and better responses with new agents could significantly reduce the impact of this disease in coming years.

807 citations

Journal ArticleDOI
TL;DR: If the chronic nature of TBI is recognized by government and private funding agencies, research can be directed at discovering therapies that may interrupt the disease processes months or even years after the initiating event.
Abstract: Traumatic brain injury (TBI) is seen by the insurance industry and many health care providers as an “event.” Once treated and provided with a brief period of rehabilitation, the perception exists that patients with a TBI require little further treatment and face no lasting effects on the central nervous system or other organ systems. In fact, TBI is a chronic disease process, one that fits the World Health Organization definition as having one or more of the following characteristics: it is permanent, caused by non-reversible pathological alterations, requires special training of the patient for rehabilitation, and/or may require a long period of observation, supervision, or care. TBI increases long-term mortality and reduces life expectancy. It is associated with increased incidences of seizures, sleep disorders, neurodegenerative diseases, neuroendocrine dysregulation, and psychiatric diseases, as well as non-neurological disorders such as sexual dysfunction, bladder and bowel incontinence, and...

803 citations

Journal ArticleDOI
TL;DR: The present review outlines the methods used to discover, define and describe zinc-containing neurons; the neuroarchitecture and synaptology of zinc- containing neural circuits; the physiology of regulated vesicular zinc release; the "life cycle" and molecular biology of vesicle zinc; the importance of synaptically released zinc in the normal and pathological processes of the cerebral cortex; and the role of specific and nonspecific stressors in the release of zinc.
Abstract: Zinc is essential to the structure and function of myriad proteins, including regulatory, structural and enzymatic. It is estimated that up to 1% of the human genome codes for zinc finger proteins. In the central nervous system, zinc has an additional role as a neurosecretory product or cofactor. In this role, zinc is highly concentrated in the synaptic vesicles of a specific contingent of neurons, called "zinc-containing" neurons. Zinc-containing neurons are a subset of glutamatergic neurons. The zinc in the vesicles probably exceeds 1 mmol/L in concentration and is only weakly coordinated with any endogenous ligand. Zinc-containing neurons are found almost exclusively in the forebrain, where in mammals they have evolved into a complex and elaborate associational network that interconnects most of the cerebral cortices and limbic structures. Indeed, one of the intriguing aspects of these neurons is that they compose somewhat of a chemospecific "private line" of the mammalian cerebral cortex. The present review outlines (1) the methods used to discover, define and describe zinc-containing neurons; (2) the neuroarchitecture and synaptology of zinc-containing neural circuits; (3) the physiology of regulated vesicular zinc release; (4) the "life cycle" and molecular biology of vesicular zinc; (5) the importance of synaptically released zinc in the normal and pathological processes of the cerebral cortex; and (6) the role of specific and nonspecific stressors in the release of zinc.

800 citations

Journal ArticleDOI
TL;DR: A meta-analysis of the relationships between four HBM dimensions and health behavior on 16 studies that measured all four of the dimensions, measured a behavioral dependent variable and included some measures of reliability indicated that it is premature to draw conclusions about the predictive validity of the HBM as operationalized.
Abstract: The Health Belief Model (HBM) relates a socio-psychologic theory of decision making to individual health-related behaviors. We conducted a meta-analysis of the relationships between four HBM dimensions (Susceptibility, Severity, Benefits and Costs) and health behavior on 16 studies that measured all four of the dimensions, measured a behavioral dependent variable and included some measures of reliability, minimal criteria for establishing the validity of the dimensions. Mean effect sizes were computed for all the studies, subgroupings representing studies of screening, risk reduction and adherence to medical regimen, and prospective and retrospective study designs. Of 24 mean effect sizes, 22 were found to be positive and statistically significant. The actual variance accounted for ranged from 0.001 to 0.09. Homogeneity was rejected for 15 of the 22, however, suggesting that the same underlying construct was not measured. Retrospective studies were found to have significantly large effect sizes for benefits and costs and smaller effect sizes for severity when compared to prospective studies. The weak effect sizes and lack of homogeneity indicate that it is premature to draw conclusions about the predictive validity of the HBM as operationalized in these studies. Our finding of only 16 studies meeting minimal criteria for valid representation of the HBM dimensions indicates that future studies should focus more on such issues.

786 citations


Authors

Showing all 22143 results

NameH-indexPapersCitations
Stuart H. Orkin186715112182
Eric R. Kandel184603113560
John C. Morris1831441168413
Joseph Biederman1791012117440
Richard A. Gibbs172889249708
Timothy A. Springer167669122421
Gabriel N. Hortobagyi1661374104845
Roberto Romero1511516108321
Charles B. Nemeroff14997990426
Peter J. Schwartz147647107695
Clifford J. Woolf14150986164
Thomas J. Smith1401775113919
Edward C. Holmes13882485748
Jun Lu135152699767
Henry T. Lynch13392586270
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022196
20211,617
20201,487
20191,298
20181,152