Publications
Department of Medicine faculty members published more than 3,000 peer-reviewed articles in 2022.
2013
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2013
Innate lymphoid cells (ILCs) are a family of developmentally related cells that are involved in immunity and in tissue development and remodelling. Recent research has identified several distinct members of this family. Confusingly, many different names have been used to characterize these newly identified ILC subsets. Here, we propose that ILCs should be categorized into three groups based on the cytokines that they can produce and the transcription factors that regulate their development and function.
View on PubMed2013
BACKGROUND
Individuals infected with both HIV and hepatitis C virus (HCV) have shown impaired performance on different neuropsychological (NP) tests; however, whether coinfected individuals with controlled HIV and minimal liver damage in the era of antiretroviral therapy have impairment is understudied.
METHODS
Nineteen HCV monoinfected, 17 HIV/HCV coinfected, and 17 control male participants were evaluated for depression, attention, executive function, information processing, fine motor speed, and verbal/visual learning/memory. Eleven controls and 14 HIV monoinfected participants with controlled viral load from a previous study were also included for comparison. At time of testing, participants were not using drugs or alcohol and did not have cirrhosis. A global deficit score (GDS) was calculated from 7 domains of NP tests and alterations in specific domains were determined.
RESULTS
HIV/HCV subjects had a higher depression score (11.1 ± 7.5) than controls (5.4 ± 4.1, P = 0.010) and a higher GDS score (0.77 ± 0.47) than HCV (0.46 ± 0.34, P = 0.036), HIV (0.45 ± 0.36, P = 0.008), and controls (0.30 ± 0.29, P = 0.001). Coinfection was associated with worse scores in attention working memory (P =0.007), executive function (P = 0.01), fine motor function (P = 0.011), verbal learning/memory (P < 0.001), and visual learning/memory (P < 0.001) compared to controls. Within the HCV group, viral load was associated with lower attention, executive function, and information processing speed and positively with GDS.
CONCLUSIONS
Coinfection significantly increased the risk of cognitive impairment in subjects with controlled HIV viral loads. In HCV monoinfected but not coinfected subjects, HCV viral load correlated with worsening GDS, suggesting different pathways for NP impairment.
View on PubMed2013
BACKGROUND
Optimizing colorectal cancer (CRC) screening requires identification of unscreened individuals and tracking screening trends. A recent National Institutes of Health State of the Science Conference, "Enhancing Use and Quality of CRC Screening," cited a need for more population data sources for measurement of CRC screening, particularly for the medically underserved. Medical claims data (claims data) are created and maintained by many health systems to facilitate billing for services rendered and may be an efficient resource for identifying unscreened individuals. The aim of this study, conducted at a safety-net health system, was to determine whether CRC test use measured by claims data matches medical chart documentation.
METHODS
The authors randomly selected 400 patients from a universe of 20,000 patients previously included in an analysis of CRC test use based on claims data 2002-2006 in Tarrant Co, TX. Claims data were compared with medical chart documentation by estimation of agreement and examination of test use over/underdocumentation.
RESULTS
The authors found that agreement on test use was very good for fecal occult blood testing (κ = 0.83, 95% confidence interval: 0.75-0.90) and colonoscopy (κ = 0.91, 95% confidence interval: 0.85-0.96) and fair for sigmoidoscopy (κ = 0.39, 95% confidence interval: 0.28-0.49). Over- and underdocumentations of the 2 most commonly used CRC tests--colonoscopy and fecal occult blood testing--were rare.
CONCLUSIONS
Use of claims data by health systems to measure CRC test use is a promising alternative to measuring CRC test use with medical chart review and may be used to identify unscreened patients for screening interventions and track screening trends over time.
View on PubMed2013
OBJECTIVE
We examine the extent to which ClinicalTrials.gov is meeting its goal of providing oversight and transparency of clinical trials with human subjects. We analyzed the ClinicalTrials.gov database contents as of June 2011, comparing interventions, medical conditions, and trial characteristics by sponsor type. We also conducted a detailed analysis of incomplete data.
RESULTS
Among trials with only government sponsorship (N=9252), 36% were observational and 64% interventional; in contrast, almost all (90%) industry-only sponsored trials were interventional. Industry-only sponsored interventional trials (N=30,036) were most likely to report a drug intervention (81%), followed by biologics (9%) and devices (8%). Government-only interventional trials (N=5886) were significantly more likely to test behavioral interventions (28%) and procedures (13%) than industry-only trials (p<0.001). Medical conditions most frequently studied in industry-only trials were cancer (19%), cardiovascular conditions (12%) and endocrine/metabolic disorders (11%). Government-only funded trials were more likely to study mental health (19% vs. 7% for industry, p<.001), and viral infections, including HIV (15% vs 7% for industry, p<.001). Government-funded studies are significantly more likely to be missing data about study design and intervention arms in the registry. For all studies, we report ambiguous and contradictory data entries.
CONCLUSIONS
Industry-sponsored studies differ systematically from government-sponsored studies in study type, choice of interventions, conditions studied, and completeness of submitted information. Imprecise study design information, incomplete coding of conditions, out-of-date or unspecified enrollment numbers, and other missing data continue to hinder robust analyses of trials registered in ClinicalTrials.gov.
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