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	<title>CiteULike: Author Spertus</title>
	<description>CiteULike: Author Spertus</description>


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        <rdf:li rdf:resource="http://www.citeulike.org/user/tnhh/article/681467"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/ksiek/article/3023454"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/djmonstermo/article/2954910"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/jyuh/article/2786145"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/jyuh/article/2786148"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/waffle168/article/2111331"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/ebeutler2/article/1657980"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/jyuh/article/1643142"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/worx11/article/808778"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/miteshjain/article/1475871"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/sbunker/article/1258174"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/mihi_tr/article/911975"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/pandoracat/article/860707"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/mtagaya/article/406411"/>
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<item rdf:about="http://www.citeulike.org/user/tnhh/article/681467">
    <title>Evaluating similarity measures: a large-scale study in the orkut social network</title>
    <link>http://www.citeulike.org/user/tnhh/article/681467</link>
    <description>&lt;i&gt;(2005), pp. 678-684.&lt;/i&gt;</description>
    <dc:title>Evaluating similarity measures: a large-scale study in the orkut social network</dc:title>

    <dc:creator>Ellen Spertus</dc:creator>
    <dc:creator>Mehran Sahami</dc:creator>
    <dc:creator>Orkut Buyukkokten</dc:creator>
    <dc:identifier>doi:10.1145/1081870.1081956</dc:identifier>
    <dc:source>(2005), pp. 678-684.</dc:source>
    <dc:date>2006-06-02T12:13:37-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:startingPage>678</prism:startingPage>
    <prism:endingPage>684</prism:endingPage>
    <prism:publisher>ACM Press</prism:publisher>
    <prism:category>analysis</prism:category>
    <prism:category>social-networks</prism:category>
    <prism:category>user-study</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/ksiek/article/3023454">
    <title>Why Are There So Few Female Computer Scientists?</title>
    <link>http://www.citeulike.org/user/ksiek/article/3023454</link>
    <description>&lt;i&gt;No. AITR-1315. (1991)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Women pursue education and careers in computer science far less frequently than men do. In 1990, only 13% of PhDs in computer science went to women, and only 7.8% of computer science professors were female. Additionally, the percentage of female computer science students appears to be increasing at only a slow rate or even decreasing. Apart from ethical concerns at women's lack of participation in computer science, the demographics of the country are such that the United States will not have...</description>
    <dc:title>Why Are There So Few Female Computer Scientists?</dc:title>

    <dc:creator>Ellen Spertus</dc:creator>
    <dc:source>No. AITR-1315. (1991)</dc:source>
    <dc:date>2008-07-21T05:16:06-00:00</dc:date>
    <prism:publicationYear>1991</prism:publicationYear>
    <prism:number>AITR-1315</prism:number>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/djmonstermo/article/2954910">
    <title>Optimal Medical Therapy with or without PCI for Stable Coronary Disease</title>
    <link>http://www.citeulike.org/user/djmonstermo/article/2954910</link>
    <description>&lt;i&gt;N Engl J Med (26 March 2007), NEJMoa070829.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Background In patients with stable coronary artery disease, it remains unclear whether an initial management strategy of percutaneous coronary intervention (PCI) with intensive pharmacologic therapy and lifestyle intervention (optimal medical therapy) is superior to optimal medical therapy alone in reducing the risk of cardiovascular events. Methods We conducted a randomized trial involving 2287 patients who had objective evidence of myocardial ischemia and significant coronary artery disease at 50 U.S. and Canadian centers. Between 1999 and 2004, we assigned 1149 patients to undergo PCI with optimal medical therapy (PCI group) and 1138 to receive optimal medical therapy alone (medical-therapy group). The primary outcome was death from any cause and nonfatal myocardial infarction during a follow-up period of 2.5 to 7.0 years (median, 4.6). Results There were 211 primary events in the PCI group and 202 events in the medical-therapy group. The 4.6-year cumulative primary-event rates were 19.0% in the PCI group and 18.5% in the medical-therapy group (hazard ratio for the PCI group, 1.05; 95% confidence interval [CI], 0.87 to 1.27; P=0.62). There were no significant differences between the PCI group and the medical-therapy group in the composite of death, myocardial infarction, and stroke (20.0% vs. 19.5%; hazard ratio, 1.05; 95% CI, 0.87 to 1.27; P=0.62); hospitalization for acute coronary syndrome (12.4% vs. 11.8%; hazard ratio, 1.07; 95% CI, 0.84 to 1.37; P=0.56); or myocardial infarction (13.2% vs. 12.3%; hazard ratio, 1.13; 95% CI, 0.89 to 1.43; P=0.33). Conclusions As an initial management strategy in patients with stable coronary artery disease, PCI did not reduce the risk of death, myocardial infarction, or other major cardiovascular events when added to optimal medical therapy. (ClinicalTrials.gov number, NCT00007657 .) 10.1056/NEJMoa070829</description>
    <dc:title>Optimal Medical Therapy with or without PCI for Stable Coronary Disease</dc:title>

    <dc:creator>William Boden</dc:creator>
    <dc:creator>Robert O'Rourke</dc:creator>
    <dc:creator>Koon Teo</dc:creator>
    <dc:creator>Pamela Hartigan</dc:creator>
    <dc:creator>David Maron</dc:creator>
    <dc:creator>William Kostuk</dc:creator>
    <dc:creator>Merril Knudtson</dc:creator>
    <dc:creator>Marcin Dada</dc:creator>
    <dc:creator>Paul Casperson</dc:creator>
    <dc:creator>Crystal Harris</dc:creator>
    <dc:creator>Bernard Chaitman</dc:creator>
    <dc:creator>Leslee Shaw</dc:creator>
    <dc:creator>Gilbert Gosselin</dc:creator>
    <dc:creator>Shah Nawaz</dc:creator>
    <dc:creator>Lawrence Title</dc:creator>
    <dc:creator>Gerald Gau</dc:creator>
    <dc:creator>Alvin Blaustein</dc:creator>
    <dc:creator>David Booth</dc:creator>
    <dc:creator>Eric Bates</dc:creator>
    <dc:creator>John Spertus</dc:creator>
    <dc:creator>Daniel Berman</dc:creator>
    <dc:creator>John Mancini</dc:creator>
    <dc:creator>William Weintraub</dc:creator>
    <dc:creator>The</dc:creator>
    <dc:identifier>doi:10.1056/NEJMoa070829</dc:identifier>
    <dc:source>N Engl J Med (26 March 2007), NEJMoa070829.</dc:source>
    <dc:date>2008-07-03T04:00:58-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>N Engl J Med</prism:publicationName>
    <prism:startingPage>NEJMoa070829</prism:startingPage>
    <prism:category>acs</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2786145">
    <title>ACC/AHA key data elements and definitions for measuring the clinical management and outcomes of patients with chronic heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Heart Failure Clinical Data Standards): developed in collaboration with the American College of Chest Physicians and the International Society for Heart and Lung Transplantation: endorsed by the Heart Failure Society of America.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2786145</link>
    <description>&lt;i&gt;Circulation, Vol. 112, No. 12. (20 September 2005), pp. 1888-1916.&lt;/i&gt;</description>
    <dc:title>ACC/AHA key data elements and definitions for measuring the clinical management and outcomes of patients with chronic heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Heart Failure Clinical Data Standards): developed in collaboration with the American College of Chest Physicians and the International Society for Heart and Lung Transplantation: endorsed by the Heart Failure Society of America.</dc:title>

    <dc:creator>MJ Radford</dc:creator>
    <dc:creator>JM Arnold</dc:creator>
    <dc:creator>SJ Bennett</dc:creator>
    <dc:creator>MP Cinquegrani</dc:creator>
    <dc:creator>JG Cleland</dc:creator>
    <dc:creator>EP Havranek</dc:creator>
    <dc:creator>PA Heidenreich</dc:creator>
    <dc:creator>JD Rutherford</dc:creator>
    <dc:creator>JA Spertus</dc:creator>
    <dc:creator>LW Stevenson</dc:creator>
    <dc:creator>DC Goff</dc:creator>
    <dc:creator>FL Grover</dc:creator>
    <dc:creator>DJ Malenka</dc:creator>
    <dc:creator>ED Peterson</dc:creator>
    <dc:creator>RF Redberg</dc:creator>
    <dc:creator></dc:creator>
    <dc:creator></dc:creator>
    <dc:creator></dc:creator>
    <dc:creator></dc:creator>
    <dc:creator></dc:creator>
    <dc:identifier>doi:10.1161/CIRCULATIONAHA.105.170073</dc:identifier>
    <dc:source>Circulation, Vol. 112, No. 12. (20 September 2005), pp. 1888-1916.</dc:source>
    <dc:date>2008-05-12T01:57:40-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Circulation</prism:publicationName>
    <prism:issn>1524-4539</prism:issn>
    <prism:volume>112</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>1888</prism:startingPage>
    <prism:endingPage>1916</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2786148">
    <title>ACC/AHA Clinical Performance Measures for Adults with Chronic Heart Failure: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures (Writing Committee to Develop Heart Failure Clinical Performance Measures): endorsed by the Heart Failure Society of America.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2786148</link>
    <description>&lt;i&gt;Circulation, Vol. 112, No. 12. (20 September 2005), pp. 1853-1887.&lt;/i&gt;</description>
    <dc:title>ACC/AHA Clinical Performance Measures for Adults with Chronic Heart Failure: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures (Writing Committee to Develop Heart Failure Clinical Performance Measures): endorsed by the Heart Failure Society of America.</dc:title>

    <dc:creator>RO Bonow</dc:creator>
    <dc:creator>S Bennett</dc:creator>
    <dc:creator>DE Casey</dc:creator>
    <dc:creator>TG Ganiats</dc:creator>
    <dc:creator>MA Hlatky</dc:creator>
    <dc:creator>MA Konstam</dc:creator>
    <dc:creator>CT Lambrew</dc:creator>
    <dc:creator>SL Normand</dc:creator>
    <dc:creator>IL Pina</dc:creator>
    <dc:creator>MJ Radford</dc:creator>
    <dc:creator>AL Smith</dc:creator>
    <dc:creator>LW Stevenson</dc:creator>
    <dc:creator>G Burke</dc:creator>
    <dc:creator>KA Eagle</dc:creator>
    <dc:creator>HM Krumholz</dc:creator>
    <dc:creator>J Linderbaum</dc:creator>
    <dc:creator>FA Masoudi</dc:creator>
    <dc:creator>JL Ritchie</dc:creator>
    <dc:creator>JS Rumsfeld</dc:creator>
    <dc:creator>JA Spertus</dc:creator>
    <dc:creator></dc:creator>
    <dc:creator></dc:creator>
    <dc:creator></dc:creator>
    <dc:identifier>doi:10.1161/CIRCULATIONAHA.105.170072</dc:identifier>
    <dc:source>Circulation, Vol. 112, No. 12. (20 September 2005), pp. 1853-1887.</dc:source>
    <dc:date>2008-05-12T01:58:02-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Circulation</prism:publicationName>
    <prism:issn>1524-4539</prism:issn>
    <prism:volume>112</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>1853</prism:startingPage>
    <prism:endingPage>1887</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/waffle168/article/2111331">
    <title>Confirmation of a heart failure epidemic: findings from the Resource Utilization Among Congestive Heart Failure (REACH) study</title>
    <link>http://www.citeulike.org/user/waffle168/article/2111331</link>
    <description>&lt;i&gt;J Am Coll Cardiol, Vol. 39, No. 1. (2 January 2002), pp. 60-69.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;OBJECTIVES: The purpose of this study was to create an automated surveillance tool for reporting the incidence, prevalence and processes of care for patients with heart failure. BACKGROUND: Previous epidemiologic studies suggest that the increasing prevalence of heart failure is a consequence of improved survival coupled with minimal changes in disease prevention. Developing new, efficient methods of assessing the incidence and prevalence of heart failure could allow continued surveillance of these rates during an era of rapidly changing treatments and health care delivery patterns. METHODS: Using administrative data sets, we created a definition of heart failure using diagnosis codes. After adjustment for patients leaving our health system or death, we derived the incidence, prevalence and mortality of the population with heart failure from 1989 to 1999. RESULTS: A total of 29,686 patients of all ages, 52.6% women and 47.4% men, met the definition of heart failure. Mean ages were 71.1 +/- 14.5 for women and 67.7 +/- 14.4 for men, p &#60; 0.0001. Race proportions were 50.5% white, 44.6% African American and 4.9% other race. Incidence rates were higher in men and African Americans across all age groups. There was an annual increase in prevalence of 1/1,000 for women and 0.9/1,000 for men, p = 0.001 for both trends. CONCLUSIONS: Through the feasible and valid use of automated data, we have confirmed a chronic disease epidemic of heart failure manifested primarily by an increase in prevalence over the past decade. Our surveillance system mirrors the results of epidemiologic studies and may be a valid method for monitoring the impact of prevention and treatment programs.</description>
    <dc:title>Confirmation of a heart failure epidemic: findings from the Resource Utilization Among Congestive Heart Failure (REACH) study</dc:title>

    <dc:creator>Peter Mccullough</dc:creator>
    <dc:creator>Edward Philbin</dc:creator>
    <dc:creator>John Spertus</dc:creator>
    <dc:creator>Scott Kaatz</dc:creator>
    <dc:creator>Keisha Sandberg</dc:creator>
    <dc:creator>Douglas Weaver</dc:creator>
    <dc:source>J Am Coll Cardiol, Vol. 39, No. 1. (2 January 2002), pp. 60-69.</dc:source>
    <dc:date>2007-12-14T05:03:56-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>J Am Coll Cardiol</prism:publicationName>
    <prism:volume>39</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>60</prism:startingPage>
    <prism:endingPage>69</prism:endingPage>
    <prism:category>chf</prism:category>
    <prism:category>cost</prism:category>
    <prism:category>economics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/ebeutler2/article/1657980">
    <title>One-year health status outcomes of unstable angina versus myocardial infarction: a prospective, observational cohort study of ACS survivors</title>
    <link>http://www.citeulike.org/user/ebeutler2/article/1657980</link>
    <description>&lt;i&gt;BMC Cardiovascular Disorders, Vol. 7 (12 September 2007), 28.&lt;/i&gt;</description>
    <dc:title>One-year health status outcomes of unstable angina versus myocardial infarction: a prospective, observational cohort study of ACS survivors</dc:title>

    <dc:creator>Thomas Maddox</dc:creator>
    <dc:creator>Kimberly Reid</dc:creator>
    <dc:creator>John Rumsfeld</dc:creator>
    <dc:creator>John Spertus</dc:creator>
    <dc:identifier>doi:10.1186/1471-2261-7-28</dc:identifier>
    <dc:source>BMC Cardiovascular Disorders, Vol. 7 (12 September 2007), 28.</dc:source>
    <dc:date>2007-09-14T16:38:45-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>BMC Cardiovascular Disorders</prism:publicationName>
    <prism:issn>1471-2261</prism:issn>
    <prism:volume>7</prism:volume>
    <prism:startingPage>28</prism:startingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1643142">
    <title>Nonvalidation of reported genetic risk factors for acute coronary syndrome in a large-scale replication study.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1643142</link>
    <description>&lt;i&gt;JAMA, Vol. 297, No. 14. (11 April 2007), pp. 1551-1561.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;CONTEXT: Given the numerous, yet inconsistent, reports of genetic variants being associated with acute coronary syndromes (ACS), there is a need for comprehensive validation of ACS susceptibility genotypes. OBJECTIVE: To perform an extensive validation of putative genetic risk factors for ACS. DESIGN, SETTING, AND PARTICIPANTS: Through a systematic literature search of articles published before March 10, 2005, we identified genetic variants previously reported as significant susceptibility factors for atherosclerosis or ACS. Restricting our analysis to white patients to reduce confounding from racial admixture, we identified 811 patients who presented from March 2001 through June 2003 with ACS at 2 Kansas City, Mo, university-affiliated hospitals. During 2005-2006, we genotyped the 811 patients along with 650 age- and sex-matched controls for 85 variants in 70 genes and attempted to replicate previously reported associations. We further explored possible associations without prior assumption of specific risk models and used the Sign test to search for weak associations. MAIN OUTCOME MEASURES: Compare each prespecified gene variant associated with ACS risk among cases and controls. A surplus of associations would imply that some are associated with ACS. RESULTS: Of 85 variants tested, only 1 putative risk genotype (-455 promoter variant in beta-fibrinogen) was nominally statistically significant (P = .03). Only 4 additional genes were positive in model-free analysis. Neither number of associations was more frequent than expected by chance, given the number of comparisons. Finally, only 41 of 84 predefined risk variants were even marginally more frequent in cases than in controls (with 1 tie), representing a 48.8% &#34;win rate&#34; (95% confidence interval, 38.1%-59.5%) for the collective risk genotypes (P = .91, Sign test). CONCLUSIONS: Our null results provide no support for the hypothesis that any of the 85 genetic variants tested is a susceptibility factor for ACS. These results emphasize the need for robust replication of putative genetic risk factors before their introduction into clinical care.</description>
    <dc:title>Nonvalidation of reported genetic risk factors for acute coronary syndrome in a large-scale replication study.</dc:title>

    <dc:creator>TM Morgan</dc:creator>
    <dc:creator>HM Krumholz</dc:creator>
    <dc:creator>RP Lifton</dc:creator>
    <dc:creator>JA Spertus</dc:creator>
    <dc:identifier>doi:10.1001/jama.297.14.1551</dc:identifier>
    <dc:source>JAMA, Vol. 297, No. 14. (11 April 2007), pp. 1551-1561.</dc:source>
    <dc:date>2007-09-11T02:21:13-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>JAMA</prism:publicationName>
    <prism:issn>1538-3598</prism:issn>
    <prism:volume>297</prism:volume>
    <prism:number>14</prism:number>
    <prism:startingPage>1551</prism:startingPage>
    <prism:endingPage>1561</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/worx11/article/808778">
    <title>Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement.</title>
    <link>http://www.citeulike.org/user/worx11/article/808778</link>
    <description>&lt;i&gt;Circulation, Vol. 112, No. 17. (25 October 2005), pp. 2735-2752.&lt;/i&gt;</description>
    <dc:title>Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement.</dc:title>

    <dc:creator>SM Grundy</dc:creator>
    <dc:creator>JI Cleeman</dc:creator>
    <dc:creator>SR Daniels</dc:creator>
    <dc:creator>KA Donato</dc:creator>
    <dc:creator>RH Eckel</dc:creator>
    <dc:creator>BA Franklin</dc:creator>
    <dc:creator>DJ Gordon</dc:creator>
    <dc:creator>RM Krauss</dc:creator>
    <dc:creator>PJ Savage</dc:creator>
    <dc:creator>SC Smith</dc:creator>
    <dc:creator>JA Spertus</dc:creator>
    <dc:creator>F Costa</dc:creator>
    <dc:identifier>doi:10.1161/CIRCULATIONAHA.105.169404</dc:identifier>
    <dc:source>Circulation, Vol. 112, No. 17. (25 October 2005), pp. 2735-2752.</dc:source>
    <dc:date>2006-08-20T23:19:07-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Circulation</prism:publicationName>
    <prism:issn>1524-4539</prism:issn>
    <prism:volume>112</prism:volume>
    <prism:number>17</prism:number>
    <prism:startingPage>2735</prism:startingPage>
    <prism:endingPage>2752</prism:endingPage>
    <prism:category>bm</prism:category>
    <prism:category>cmrf</prism:category>
    <prism:category>diabetes</prism:category>
    <prism:category>jmcp_manuscript</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/miteshjain/article/1475871">
    <title>Execution of Dataflow Programs on GeneralPurpose Hardware</title>
    <link>http://www.citeulike.org/user/miteshjain/article/1475871</link>
    <description>&lt;i&gt;(1992)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Fine-grained programming is important to parallel computing because it covers up the unavoidable latency occuring in large systems. Dataflow computing, where small groups of instructions can be sequentialized into threads, is an extreme of the fine-grained or multithreading approaches. Originally, dataflow programs were run on specialized hardware. The research described in this document unites advances in compiling dataflow programs to run on non-specialized hardware with the architectural...</description>
    <dc:title>Execution of Dataflow Programs on GeneralPurpose Hardware</dc:title>

    <dc:creator>E Spertus</dc:creator>
    <dc:source>(1992)</dc:source>
    <dc:date>2007-07-23T20:36:16-00:00</dc:date>
    <prism:publicationYear>1992</prism:publicationYear>
    <prism:category>dataflow</prism:category>
    <prism:category>general</prism:category>
    <prism:category>neuman</prism:category>
    <prism:category>programs</prism:category>
    <prism:category>purpose</prism:category>
    <prism:category>von</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/sbunker/article/1258174">
    <title>Self-Reported Use of Complementary and Alternative Medicine in Patients With Previous Acute Coronary Syndrome</title>
    <link>http://www.citeulike.org/user/sbunker/article/1258174</link>
    <description>&lt;i&gt;The American Journal of Cardiology, Vol. 99, No. 7. (1 April 2007), pp. 930-933.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Complementary and alternative medicine (CAM) use is common in patients with cardiovascular disease. Although numerous efforts have sought to understand CAM types and the prevalence of CAM, whether patients preferentially use CAM instead of evidence-based therapies is unknown. Self-reported use of CAM and evidence-based therapies in a prospective registry of hospitalized patients with acute coronary syndrome from March 1, 2001 to October 31, 2002 were examined. Poisson regression models were used to assess whether CAM use was independently associated with lower rates of aspirin, [beta]-blocker, and statin use in 596 patients with established coronary artery disease (CAD). Overall, CAM use was 19% in patients with CAD. Higher proportions of patients who used CAM were non-Caucasian (31% vs 12%), uninsured (12% vs 7%), economically burdened (58% vs 29%), and had depression (13% vs 6%, p &#60;0.05 for all). Patients who used CAM were more likely to use [beta] blockers (64% vs 46%, p = 0.008) and as likely to use aspirin (73% vs 74%, p = 0.90) and statins (71% vs 68%, p = 0.76) as non-CAM users. Adjusting for demographic and clinical factors did not change results (CAM users: RR 1.27, 95% confidence interval [CI] 1.01 to 1.60 for using [beta] blockers, RR 0.97, 95% CI 0.85 to 1.11 for using aspirin, and RR 1.05, 95% CI 0.87 to 1.28 for using statins). In conclusion, although CAM users with established CAD have worse socioeconomic status than nonusers, we found no evidence that they were less compliant with evidence-based therapies.</description>
    <dc:title>Self-Reported Use of Complementary and Alternative Medicine in Patients With Previous Acute Coronary Syndrome</dc:title>

    <dc:creator>Carole Decker</dc:creator>
    <dc:creator>Jason Huddleston</dc:creator>
    <dc:creator>Mikhail Kosiborod</dc:creator>
    <dc:creator>Donna Buchanan</dc:creator>
    <dc:creator>Casey Stoner</dc:creator>
    <dc:creator>Angela Jones</dc:creator>
    <dc:creator>Sudeshna Banerjee</dc:creator>
    <dc:creator>John Spertus</dc:creator>
    <dc:source>The American Journal of Cardiology, Vol. 99, No. 7. (1 April 2007), pp. 930-933.</dc:source>
    <dc:date>2007-04-27T00:15:28-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>The American Journal of Cardiology</prism:publicationName>
    <prism:volume>99</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>930</prism:startingPage>
    <prism:endingPage>933</prism:endingPage>
    <prism:category>cam</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mihi_tr/article/911975">
    <title>The impact of diabetes on one-year health status outcomes following acute coronary syndromes</title>
    <link>http://www.citeulike.org/user/mihi_tr/article/911975</link>
    <description>&lt;i&gt;BMC Cardiovascular Disorders, Vol. 6 (24 October 2006), 41.&lt;/i&gt;</description>
    <dc:title>The impact of diabetes on one-year health status outcomes following acute coronary syndromes</dc:title>

    <dc:creator>Pamela Peterson</dc:creator>
    <dc:creator>John Spertus</dc:creator>
    <dc:creator>David Magid</dc:creator>
    <dc:creator>Frederick Masoudi</dc:creator>
    <dc:creator>Kimberly Reid</dc:creator>
    <dc:creator>Richard Hamman</dc:creator>
    <dc:creator>John Rumsfeld</dc:creator>
    <dc:identifier>doi:10.1186/1471-2261-6-41</dc:identifier>
    <dc:source>BMC Cardiovascular Disorders, Vol. 6 (24 October 2006), 41.</dc:source>
    <dc:date>2006-10-24T20:28:08-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>BMC Cardiovascular Disorders</prism:publicationName>
    <prism:issn>1471-2261</prism:issn>
    <prism:volume>6</prism:volume>
    <prism:startingPage>41</prism:startingPage>
    <prism:category>gender_differences</prism:category>
    <prism:category>mi</prism:category>
    <prism:category>prognosis</prism:category>
    <prism:category>tbd</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/pandoracat/article/860707">
    <title>The role of academic medicine in improving health care quality.</title>
    <link>http://www.citeulike.org/user/pandoracat/article/860707</link>
    <description>&lt;i&gt;Acad Med, Vol. 81, No. 9. (September 2006), pp. 802-806.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Academic medicine, often entrenched in biomedical and clinical research, has largely ignored the development and application of quality metrics to ensure the delivery of high-quality health care. Nevertheless, academic medicine has substantial opportunities to lead the charge in building a quality infrastructure with the goal of delivering high-quality and cost-efficient health care to all Americans. The American College of Cardiology (ACC) and American Heart Association (AHA) have worked jointly to measure and improve the quality of cardiovascular care. This effort has led to the development of clinical practice guidelines, performance measures, data standards, national registries, and appropriateness criteria for cardiovascular care. Academic medicine should actively embrace and promote the type of quality metrics and criteria developed by ACC and AHA and apply this model across the entire academic medicine community. Academic medicine, with its many resources, could lead the way in the expanding field of quality science by supporting fundamental research in quality improvement, supporting academicians to improve quality at their own institutions, developing educational models for quality assessment and improvement, creating and implementing data registries, and serving as a conduit for developing the emerging science of quality assessment. In this and many other ways, academic medicine must offer the health care community leadership for improving our nation's health care quality with the same fervor presently exhibited for the advancement of basic science, the development of specialized and experimental therapy, and as centers for tertiary and quaternary patient care.</description>
    <dc:title>The role of academic medicine in improving health care quality.</dc:title>

    <dc:creator>RG Brindis</dc:creator>
    <dc:creator>J Spertus</dc:creator>
    <dc:source>Acad Med, Vol. 81, No. 9. (September 2006), pp. 802-806.</dc:source>
    <dc:date>2006-09-22T21:03:27-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Acad Med</prism:publicationName>
    <prism:issn>1040-2446</prism:issn>
    <prism:volume>81</prism:volume>
    <prism:number>9</prism:number>
    <prism:startingPage>802</prism:startingPage>
    <prism:endingPage>806</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mtagaya/article/406411">
    <title>Sequence variants in SLITRK1 are associated with Tourette's syndrome.</title>
    <link>http://www.citeulike.org/user/mtagaya/article/406411</link>
    <description>&lt;i&gt;Science, Vol. 310, No. 5746. (14 October 2005), pp. 317-320.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Tourette's syndrome (TS) is a genetically influenced developmental neuropsychiatric disorder characterized by chronic vocal and motor tics. We studied Slit and Trk-like 1 (SLITRK1) as a candidate gene on chromosome 13q31.1 because of its proximity to a de novo chromosomal inversion in a child with TS. Among 174 unrelated probands, we identified a frameshift mutation and two independent occurrences of the identical variant in the binding site for microRNA hsa-miR-189. These variants were absent from 3600 control chromosomes. SLITRK1 mRNA and hsa-miR-189 showed an overlapping expression pattern in brain regions previously implicated in TS. Wild-type SLITRK1, but not the frameshift mutant, enhanced dendritic growth in primary neuronal cultures. Collectively, these findings support the association of rare SLITRK1 sequence variants with TS.</description>
    <dc:title>Sequence variants in SLITRK1 are associated with Tourette's syndrome.</dc:title>

    <dc:creator>JF Abelson</dc:creator>
    <dc:creator>KY Kwan</dc:creator>
    <dc:creator>BJ O'Roak</dc:creator>
    <dc:creator>DY Baek</dc:creator>
    <dc:creator>AA Stillman</dc:creator>
    <dc:creator>TM Morgan</dc:creator>
    <dc:creator>CA Mathews</dc:creator>
    <dc:creator>DL Pauls</dc:creator>
    <dc:creator>MR Rasin</dc:creator>
    <dc:creator>M Gunel</dc:creator>
    <dc:creator>NR Davis</dc:creator>
    <dc:creator>AG Ercan-Sencicek</dc:creator>
    <dc:creator>DH Guez</dc:creator>
    <dc:creator>JA Spertus</dc:creator>
    <dc:creator>JF Leckman</dc:creator>
    <dc:creator>LS Dure</dc:creator>
    <dc:creator>R Kurlan</dc:creator>
    <dc:creator>HS Singer</dc:creator>
    <dc:creator>DL Gilbert</dc:creator>
    <dc:creator>A Farhi</dc:creator>
    <dc:creator>A Louvi</dc:creator>
    <dc:creator>RP Lifton</dc:creator>
    <dc:creator>N Sestan</dc:creator>
    <dc:creator>MW State</dc:creator>
    <dc:identifier>doi:10.1126/science.1116502</dc:identifier>
    <dc:source>Science, Vol. 310, No. 5746. (14 October 2005), pp. 317-320.</dc:source>
    <dc:date>2005-11-23T16:39:48-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:issn>1095-9203</prism:issn>
    <prism:volume>310</prism:volume>
    <prism:number>5746</prism:number>
    <prism:startingPage>317</prism:startingPage>
    <prism:endingPage>320</prism:endingPage>
    <prism:category>disorder</prism:category>
    <prism:category>microrna</prism:category>
    <prism:category>ncrna</prism:category>
    <prism:category>slitrk1</prism:category>
    <prism:category>tourette</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/harperf/article/439070">
    <title>Smokey: Automatic Recognition of Hostile Messages</title>
    <link>http://www.citeulike.org/user/harperf/article/439070</link>
    <description>&lt;i&gt;(1997), pp. 1058-1065.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Abusive messages (flames) can be both a source of frustration and a waste of time for Internet users. This paper describes some approaches to flame recognition, including a prototype system, Smokey. Smokey builds a 47-element feature vector based on the syntax and semantics of each sentence, combining the vectors for the sentences within each message. A training set of 720 messages was used by Quinlan's C4.5 decision-tree generator to determine featurebased rules that were able to correctly...</description>
    <dc:title>Smokey: Automatic Recognition of Hostile Messages</dc:title>

    <dc:creator>Ellen Spertus</dc:creator>
    <dc:source>(1997), pp. 1058-1065.</dc:source>
    <dc:date>2005-12-15T17:47:46-00:00</dc:date>
    <prism:publicationYear>1997</prism:publicationYear>
    <prism:startingPage>1058</prism:startingPage>
    <prism:endingPage>1065</prism:endingPage>
    <prism:category>community</prism:category>
    <prism:category>flame</prism:category>
</item>



</rdf:RDF>

