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  1. Article ; Online: Reply.

    Cairoli, Ernesto / Espinosa, Gerard

    Medicina clinica

    2022  Volume 159, Issue 1, Page(s) e4

    Title translation Respuesta.
    Language Spanish
    Publishing date 2022-03-14
    Publishing country Spain
    Document type Letter ; Comment
    ZDB-ID 411607-0
    ISSN 1578-8989 ; 0025-7753
    ISSN (online) 1578-8989
    ISSN 0025-7753
    DOI 10.1016/j.medcli.2022.01.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Combination of old and new drugs to improve renal outcome in SLE patients.

    Espinosa, Gerard / Cervera, Ricard

    Rheumatology (Oxford, England)

    2023  Volume 63, Issue 2, Page(s) 271–272

    MeSH term(s) Humans ; Kidney ; Lupus Erythematosus, Systemic/complications ; Lupus Erythematosus, Systemic/drug therapy
    Language English
    Publishing date 2023-08-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 1464822-2
    ISSN 1462-0332 ; 1462-0324
    ISSN (online) 1462-0332
    ISSN 1462-0324
    DOI 10.1093/rheumatology/kead458
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 497: Show issues

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  3. Article ; Online: Reply.

    Cairoli, Ernesto / Espinosa, Gerard

    Medicina clinica (English ed.)

    2022  Volume 159, Issue 1, Page(s) e4

    Language English
    Publishing date 2022-06-29
    Publishing country Spain
    Document type Journal Article
    ISSN 2387-0206
    ISSN (online) 2387-0206
    DOI 10.1016/j.medcle.2022.01.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: What we know and what we don't know about catastrophic antiphospholipid syndrome.

    Rodriguez-Pintó, Ignasi / Espinosa, Gerard / Cervera, Ricard

    Rheumatology (Oxford, England)

    2024  Volume 63, Issue SI, Page(s) SI46–SI53

    Abstract: Catastrophic antiphospholipid syndrome (CAPS) is a severe condition with high mortality. Since its description in 1992, an important effort has been made to improve and disseminate knowledge on CAPS. Most of our current knowledge comes from the studies ... ...

    Abstract Catastrophic antiphospholipid syndrome (CAPS) is a severe condition with high mortality. Since its description in 1992, an important effort has been made to improve and disseminate knowledge on CAPS. Most of our current knowledge comes from the studies performed using the CAPS Registry, a database created in 2000 to gather as many cases as possible in order to better define this disease. It has demonstrated that this condition has multiple faces and is often triggered by a precipitating factor that leads to a thrombotic microangiopathy and cytokine storm involving almost any organ of the body. Analysis of the CAPS Registry has also shown that patients receiving anticoagulation, glucocorticoids and plasma exchange and/or IVIG have a better prognosis. However, there are still many unresolved questions. In this review we summarize what is known and what is still a matter of research in this condition.
    MeSH term(s) Humans ; Antiphospholipid Syndrome ; Immunoglobulins, Intravenous ; Plasma Exchange ; Plasmapheresis ; Prognosis ; Catastrophic Illness/therapy
    Chemical Substances Immunoglobulins, Intravenous
    Language English
    Publishing date 2024-02-06
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 1464822-2
    ISSN 1462-0332 ; 1462-0324
    ISSN (online) 1462-0332
    ISSN 1462-0324
    DOI 10.1093/rheumatology/kead556
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.

    Torrats-Espinosa, Gerard

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 7

    Abstract: This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infection ... ...

    Abstract This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infection rates for the overall population and on racial and ethnic mortality gaps. To account for potential confounding, I assemble a dataset that includes 50 county-level factors that are potentially related to residential segregation and COVID-19 infection and mortality rates. These factors are grouped into eight categories: demographics, density and potential for public interaction, social capital, health risk factors, capacity of the health care system, air pollution, employment in essential businesses, and political views. I use double-lasso regression, a machine learning method for model selection and inference, to select the most important controls in a statistically principled manner. Counties that are 1 SD above the racial segregation mean have experienced mortality and infection rates that are 8% and 5% higher than the mean. These differences represent an average of four additional deaths and 105 additional infections for each 100,000 residents in the county. The analysis of mortality gaps shows that, in counties that are 1 SD above the Black-White segregation mean, the Black mortality rate is 8% higher than the White mortality rate. Sensitivity analyses show that an unmeasured confounder that would overturn these findings is outside the range of plausible covariates.
    MeSH term(s) COVID-19/ethnology ; COVID-19/mortality ; COVID-19/virology ; Ethnic Groups/statistics & numerical data ; Humans ; Machine Learning ; Mortality ; Regression Analysis ; Risk Factors ; SARS-CoV-2/isolation & purification ; Social Segregation ; Socioeconomic Factors ; United States/epidemiology
    Language English
    Publishing date 2021-02-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2015577118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Autoimmune diseases and vaccines against COVID-19. Decision making in uncertain scenarios.

    Cairoli, Ernesto / Espinosa, Gerard

    Medicina clinica (English ed.)

    2021  Volume 157, Issue 5, Page(s) 247–252

    Language English
    Publishing date 2021-08-07
    Publishing country Spain
    Document type Journal Article
    ISSN 2387-0206
    ISSN (online) 2387-0206
    DOI 10.1016/j.medcle.2021.05.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Enfermedades autoinmunes y vacunas contra la COVID-19. Toma de decisiones en escenarios de incertidumbre.

    Cairoli, Ernesto / Espinosa, Gerard

    Medicina clinica

    2021  Volume 157, Issue 5, Page(s) 247–252

    Title translation Autoimmune diseases and vaccines against COVID-19. Decision making in uncertain scenarios.
    MeSH term(s) Autoimmune Diseases ; COVID-19 ; COVID-19 Vaccines ; Decision Making ; Humans ; SARS-CoV-2 ; Uncertainty ; Vaccines
    Chemical Substances COVID-19 Vaccines ; Vaccines
    Language Spanish
    Publishing date 2021-05-28
    Publishing country Spain
    Document type Journal Article
    ZDB-ID 411607-0
    ISSN 1578-8989 ; 0025-7753
    ISSN (online) 1578-8989
    ISSN 0025-7753
    DOI 10.1016/j.medcli.2021.05.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.279: Show issues Location:
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  8. Article ; Online: Crime and Inequality in Academic Achievement Across School Districts in the United States.

    Torrats-Espinosa, Gerard

    Demography

    2020  Volume 57, Issue 1, Page(s) 123–145

    Abstract: This study investigates the effect of violent crime on school district-level achievement in English language arts (ELA) and mathematics. The research design exploits variation in achievement and violent crime across 813 school districts in the United ... ...

    Abstract This study investigates the effect of violent crime on school district-level achievement in English language arts (ELA) and mathematics. The research design exploits variation in achievement and violent crime across 813 school districts in the United States and seven birth cohorts of children born between 1996 and 2002. The identification strategy leverages exogenous shocks to crime rates arising from the availability of federal funds to hire police officers in the local police departments where the school districts operate. Results show that children who entered the school system when the violent crime rate in their school districts was lower score higher in ELA by the end of eighth grade, relative to children attending schools in the same district but who entered the school system when the violent crime rate was higher. A 10% decline in the violent crime rate experienced at ages 0-6 raises eighth-grade ELA achievement in the district by 0.03 standard deviations. Models that estimate effects by race and gender show larger impacts among Black children and boys. The district-wide effect on mathematics achievement is smaller and statistically nonsignificant. These findings extend our understanding of the geography of educational opportunity in the United States and reinforce the idea that understanding inequalities in academic achievement requires evidence on what happens inside as well as outside schools.
    MeSH term(s) Academic Success ; Adolescent ; Age Factors ; Child ; Continental Population Groups/statistics & numerical data ; Crime/statistics & numerical data ; Female ; Humans ; Language Arts/standards ; Language Arts/statistics & numerical data ; Male ; Mathematics/standards ; Mathematics/statistics & numerical data ; Residence Characteristics/statistics & numerical data ; Sex Factors ; United States/epidemiology
    Language English
    Publishing date 2020-01-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 280612-5
    ISSN 1533-7790 ; 0070-3370
    ISSN (online) 1533-7790
    ISSN 0070-3370
    DOI 10.1007/s13524-019-00850-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: From Silicosis to Scleroderma: Erasmus Syndrome.

    Noboa, María Belén / Hernandez-Gonzales, Fernanda / Lledó, Gema / Espinosa, Gerard / Sellares, Jacobo

    Open respiratory archives

    2023  Volume 5, Issue 3, Page(s) 100247

    Language English
    Publishing date 2023-05-08
    Publishing country Spain
    Document type Case Reports
    ISSN 2659-6636
    ISSN (online) 2659-6636
    DOI 10.1016/j.opresp.2023.100247
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Hydroxychloroquine in the treatment of COVID-19: How to use it waiting for conclusive scientific evidence.

    Cairoli, Ernesto / Espinosa, Gerard

    Medicina clinica (English ed.)

    2020  Volume 155, Issue 3, Page(s) 134–135

    Keywords covid19
    Language English
    Publishing date 2020-07-04
    Publishing country Spain
    Document type Journal Article
    ISSN 2387-0206
    ISSN (online) 2387-0206
    DOI 10.1016/j.medcle.2020.05.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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