404 research outputs found

    Identifying Population Health Data Resources Within a Large Data Repository

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    An overarching goal of ICPSR and its aging program, NACDA, is to build data resources that support the exploration and improvement of population health as part of the aging lifecourse. NACDA and ICPSR maintain one of the nation’s largest curated data collections containing linkable multi-level variables across multiple time periods. By providing value-added tools to support the use of these resources NACDA will increase the potential applications of existing and new data acquisitions, allowing for the examination of changing biomedical, social and community effects on health over time. To illustrate the problem, consider, a simple search for the term “health” across the NACDA and broader ICPSR collections. This concept represents a broad capture query, and results in a list of 8,464 studies on the ICPSR website, not all of them containing data on health outcomes. In contrast, a more refined search of the phrase “health outcomes” results in a list of 465 studies and 131 bibliographic citations but returns no specific variables that could be used and analysis framework. This result is not surprising as these kinds of search phrases are much more likely to appear in publications or in study-level descriptive metadata, while a variable level return would require the term “health outcome” to reside in the actual variable name. Similarly, there are numerous studies without the phrase “health outcomes” that contain health data (e.g., Survey of Texas Adults, 2004, ICPSR 4297, available through NACDA).NIH/NIA U24 AG056918 and NIH/NIA U24AG056918 01S1Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145488/1/PAA 2018 Population Health.pdfDescription of PAA 2018 Population Health.pdf : PowerPoint Presentatio

    Managing Big Data Issues Within a Research Data Repository: Dealing With the 21st Century Data Explosion

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    Increasingly, organizations in both the public and private sector who fund the collection of research information expect and in many cases mandate the public sharing of these data as a condition of support. While representing a positive expression of the idea that information represents a public good, it has also resulted in a veritable flood of new studies, surveys and administrative records entering the public domain; the emergence of the Big Data model in the secondary analysis of research information. Much of these data are managed by data repositories that ingest, process, clean and enhance these files so they are accurate and consistent and introduce as little error as possible into the analysis stream of information. Conversely, this huge influx of Big Data resources has also resulted in higher expectations for the rapid release of data that complicates the need for a thorough review and cleaning of files before distribution. This paper reviews emerging approaches within a research data repository that seek to maintain high quality control while managing Big Data streams as they enter the system.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139597/1/Managing Big Data Issues Within a Research Data Repository McNally Paper Submission.pdfDescription of Managing Big Data Issues Within a Research Data Repository McNally Paper Submission.pdf : Main Articl

    ICPSR Working Paper 2

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    This report reviews best practices for using data resources from ICPSR, its projects, and its collaborating partners for measuring the impact of epidemics. The report summarizes resources to identify measures of well-being, social connectedness, and other constructs to measure the social and behavioral effects of the COVID-19 epidemic on population health outcomes. The report suggests data resources to identify pre-crisis measures of social distancing, social networks, consumer confidence, unemployment, and the use of social media.https://deepblue.lib.umich.edu/bitstream/2027.42/154682/1/Best Practices Measuring Impact of Epidemics Version April 3, 2020.pdfDescription of Best Practices Measuring Impact of Epidemics Version April 3, 2020.pdf : White pape

    Cell Tracking using a Distributed Algorithm for 3D Image Segmentation

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    We have developed and tested an automated method for simultaneous 3D tracking of numerous, flourescently-tagged cells. The procedure uses multiple thresholding to segment individual cells at a starting timepoint, and then iteratively applies a template-matching algorithm to locate a particular cell\u27s position at subsequent time points. To speed up the method, we have developed a distributed implementation in which template matching is carried out in parallel on several different server machines. The distributed implementation showed a monotonic decrease in response time with increasing number of servers (up to 15 tested), demonstrating that the tracking algorithm is well suited to parallelization, and that nearly real-time performance could be expected on a parallel processor. Of four different template matching statistics tested for 3D tracking of amebae from the cellular slime mold Dictyostelium discoideum, we found that the automated procedure performed best when using a correlation statistic for matching. Using this statistic, the method achieved a .985% success rate in correctly identifying a cell from one timepoint to the next. This method is now being used regularly for 3D tracking of normal and mutant cells of D. discoideum, and as such provides a means to quantify the motion of many cells within a three-dimensional tissue mass

    Spatial patterns in the fruiting bodies of the cellular slime mold Polysphondylium pallidum

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    During morphogenesis in the slime mold Polysphondylium pallidum cell masses are periodically pinched off from the base of the developing sorogen. These masses round up and differentiate into secondary sorogens, which become radially ordered arrays of secondary fruiting bodies called whorls. Here we describe the morphogenesis of P. pallidum and characterize the spacing of whorls along the central stalk of the fruiting body and the spacing of soro-carps within whorls. We find both are highly regular. We propose that the linear spacing of whorls can be accounted for satisfactorily by a model that views the periodic release of cell masses from the base of the developing sorogen as the consequence of an imbalance between forces that orient amoebae toward the tip of the culminating sorogen, and cohesive forces between randomly moving cells in the basal region of the sorogen, which act as a retarding force. The orderly arrangement of fruiting bodies within whorls can be explained most easily by models that employ short-range activation and lateral inhibition.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72498/1/j.1432-0436.1988.tb00200.x.pd

    No Rise in Incidence but Geographical Heterogeneity in the Occurrence of Primary Biliary Cirrhosis in North East England

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    In this study, we examined temporal changes in the incidence of primary biliary cirrhosis (PBC) and investigated associations between PBC incidence and sociodemographic factors and spatial clustering. We included 982 patients aged ≥40 years from North East England with incident PBC diagnosed during 1987–2003. Age-standardized incidence rates with 95% confidence intervals were calculated. Negative binomial regression was used to analyze incidence and socioeconomic deprivation. Clustering analysis was performed using point process methods, testing the null hypothesis that disease risk does not vary spatially and that PBC cases occur independently. The age-standardized incidence rate was 53.50 per million persons per year (95% confidence interval: 48.65, 58.35) in 1987–1994 and 45.09 per million persons per year (95% confidence interval: 41.10, 49.07) in 1995–2003. Risk of PBC increased in areas with higher levels of socioeconomic deprivation (P = 0.035). More specifically, risk increased in areas with higher levels of overcrowded homes (P = 0.040), higher levels of households without cars (P < 0.001), and higher levels of non-owner-occupied homes (P < 0.001). Overall, there was evidence of spatial clustering (P = 0.001). The findings confirm that overall incidence of PBC did not rise over time, but sociodemographic variations suggest that certain aspects of deprivation are involved in its etiology

    Sex-specific incidence and temporal trends in solid tumours in young people from Northern England, 1968–2005

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    <p>Abstract</p> <p>Background</p> <p>This study examined sex-specific patterns and temporal trends in the incidence of solid tumours in the Northern Region of England from 1968 to 2005. This updates earlier analyses from the region where sex was not considered in depth. Sex-specific analyses were carried out to determine whether sex differences might provide clues to aetiology.</p> <p>Methods</p> <p>Details of 3576 cases, aged 0–24 years, were obtained from a specialist population-based cancer registry. There were 1843 males (886 aged 0–14 years and 957 aged 15–24 years) and 1733 females (791 aged 0–14 years and 942 aged 15–24 years). Age-standardized incidence rates (per million population) were calculated. Linear regression was used to analyze temporal trends in incidence and annual percentage changes were estimated. Analyses were stratified by sex and by age-group.</p> <p>Results</p> <p>There were marked differences in incidence patterns and trends between males and females and also between age-groups. For males central nervous system (CNS) tumours formed the largest proportion of under-15 cases and germ cell tumours was the largest group in the 15–24's, whilst for females CNS tumours dominated in the under-15's and carcinomas in the older group. For 0–14 year olds there were male-specific increases in the incidence of rhabdomyosarcoma (2.4% per annum; 95% CI: 0.2%–4.5%) and non-melanotic skin cancer (9.6%; 95% CI: 0.0%–19.2%) and female-specific increases for sympathetic nervous system tumours (2.2%; 95% CI: 0.4%–3.9%), gonadal germ cell tumours (8.6%; 95% CI: 4.3%–12.9%) and non-gonadal germ cell tumours (5.4%; 95% CI: 2.8%–7.9%). For 15–24 year olds, there were male-specific increases in gonadal germ cell tumours (1.9%; 95% CI: 0.3%–3.4%), non-gonadal germ cell tumours (4.4%; 95% CI: 1.1%–7.7%) and non-melanotic skin cancer (4.7%; 95% CI: 0.5%–8.9%) and female-specific increases for osteosarcoma (3.5%; 95% CI: 0.5%–6.5%), thyroid cancer (2.8%; 95% CI: 0.1%–5.6%) and melanoma (4.6%; 95% CI: 2.2%–7.1%).</p> <p>Conclusion</p> <p>This study has highlighted notable differences between the sexes in incidence patterns and trends for solid tumours. Some of these sex-specific differences could have been obscured if males and females had been analysed together. Furthermore, they suggest aetiological differences or differential susceptibility to environmental factors between males and females.</p

    Space-time clustering of childhood central nervous system tumours in Yorkshire, UK

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    <p>Abstract</p> <p>Background</p> <p>We specifically tested the aetiological hypothesis that a factor influencing geographical or temporal heterogeneity of childhood central nervous system (CNS) tumour incidence was related to exposure to a transient environmental agent.</p> <p>Methods</p> <p>Information was extracted on individuals aged 0-14 years, diagnosed with a CNS tumour between the 1st January 1974 and 31st December 2006 from the Yorkshire Specialist Register of Cancer in Children and Young People. Ordnance Survey eight-digit grid references were allocated to each case with respect to addresses at the time of birth and the time of diagnosis, locating each address to within 0.1 km. The following diagnostic groups were specified <it>a priori </it>for analysis: ependymoma; astrocytoma; primitive neuroectodermal tumours (PNETs); other gliomas; total CNS tumours. We applied the <it>K</it>-function method for testing global space-time clustering using fixed geographical distance thresholds. Tests were repeated using variable nearest neighbour (NN) thresholds.</p> <p>Results</p> <p>There was statistically significant global space-time clustering for PNETs only, based on time and place of diagnosis (<it>P </it>= 0.03 and 0.01 using the fixed geographical distance and the variable NN threshold versions of the <it>K</it>-function method respectively).</p> <p>Conclusions</p> <p>There was some evidence for a transient environmental component to the aetiology of PNETs. However, a possible role for chance cannot be excluded.</p

    Factors in perioperative care that determine blood loss in liver surgery

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    AbstractObjectivesExcessive blood loss during liver surgery contributes to postoperative morbidity and mortality and the minimizing of blood loss improves outcomes. This study examines pre- and intraoperative factors contributing to blood loss and identifies areas for improvement.MethodsAll patients who underwent elective hepatic resection between June 2007 and June 2009 were identified. Detailed information on the pre- and perioperative clinical course was analysed. Univariate and multivariate analyses were used to identify factors associated with intraoperative blood loss.ResultsA total of 175 patients were studied, of whom 95 (54%) underwent resection of three or more segments. Median blood loss was 782ml. Greater blood loss occurred during major resections and prolonged surgery and was associated with an increase in postoperative complications (P= 0.026). Peak central venous pressure (CVP) of >10cm H2O was associated with increased blood loss (P= 0.01). Although no differences in case mix were identified, blood loss varied significantly among anaesthetists, as did intraoperative volumes of i.v. fluids and transfusion practices.ConclusionsThis study confirms a relationship between CVP and blood loss in hepatic resection. Intraoperative CVP values were higher than those described in other studies. There was variation in the intraoperative management of patients. Collaboration between surgical and anaesthesia teams is required to minimize blood loss and the standardization of intraoperative anaesthesia practice may improve outcomes following liver surgery
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