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  1. AU=Valls Joan
  2. AU="Yang, Qizhang"
  3. AU=Wilt Timothy J
  4. AU="Dene R. Littler" AU="Dene R. Littler"
  5. AU="Petrenko, Andrei"
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  9. AU=Shen Hongcheng
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  11. AU="Kruglikov, Alibek"
  12. AU="Tasu, Jean Pierre"
  13. AU="Floate, Kevin D"
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  1. Artikel ; Online: Reverse Shoulder Arthroplasty or Nothing for Patients with Displaced Proximal Humeral Fractures. A Randomized Controlled Trial.

    Miquel, Joan / Cassart, Elisa / Santana, Fernando / Martínez, Raquel / Valls, Laura / Salomó-Domènech, Mònica / Torrens, Carlos

    Journal of shoulder and elbow surgery

    2024  

    Abstract: Background: The benefits of reverse shoulder arthroplasty compared to nonoperative treatment for patients presenting with complex proximal fractures have been rarely explored. The aim of this prospective study was to compare the functional results of ... ...

    Abstract Background: The benefits of reverse shoulder arthroplasty compared to nonoperative treatment for patients presenting with complex proximal fractures have been rarely explored. The aim of this prospective study was to compare the functional results of reverse shoulder arthroplasty with those of nonsurgical treatment in patients with displaced proximal humeral fractures.
    Methods: A multicentric prospective randomized control trial of patients older than 70 years who sustained an acute proximal humeral fracture (3 or 4 parts), with less than 3 weeks of evolution, and had no previous condition or surgery on the affected shoulder was conducted. Patients were randomly assigned to the intervention group (implantation of a reverse shoulder arthroplasty and tuberosities reattachment) or the control group (nonoperative treatment). Functional outcome was assessed using the Constant-Murley score (CMS) at the 1-year follow-up. Complications and reinterventions were considered secondary outcomes. The power of the study relied on the inclusion of 81 patients to recognize a statistically significant difference of 10 points between CMS scores in the groups. Analysis was performed based on the intention to treat principle.
    Results: Eighty-one patients were randomized to surgical treatment or nonoperative treatment, while 66 patients completed the 1-year follow-up evaluation. There was no significant difference between the groups in terms of age (76.1 yo vs 77.43 yo, p=0.43), sex (81.08% women in the surgical group vs 84.09% in the nonoperative group, p=0.72), or type of fracture according to Neer's classification system (p=0.06). At the 1-year follow-up, the group assigned to undergo the intervention had better functional outcomes than the nonoperative treatment group (mean CMS; 61.24, SD: 13.33 versus mean CMS: 52.44, SD: 16.22, p0.02), with a mean difference of 8.84 points, 95% CI [1.57, 16.11]. Two patients in the intervention group (6.5%) suffered major complications (periprosthetic joint infection and axillary nerve palsy). No major complications were observed in the nonoperative group. One patient in the intervention group underwent secondary surgery for a periprosthetic joint infection.
    Conclusions: Treatment with reverse shoulder arthroplasty provides superior functional outcomes compared with conservative treatment for patients presenting with an acute proximal humeral fracture. The difference in CMS is close to the clinically significant thresholds, and some harms are associated with the operative treatment.
    Sprache Englisch
    Erscheinungsdatum 2024-03-26
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1170782-3
    ISSN 1532-6500 ; 1058-2746
    ISSN (online) 1532-6500
    ISSN 1058-2746
    DOI 10.1016/j.jse.2024.02.023
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: COVID19-Tracker

    Joan Valls / Aurelio Tobías / Pau Satorra / Cristian Tebé

    Gaceta Sanitaria, Vol 35, Iss 1, Pp 99-

    una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España

    2021  Band 101

    Abstract: Resumen: La visualización de datos es una herramienta relevante para explorar y comunicar resultados en la investigación médica, en especial cuando se trata de vigilancia epidemiológica. La aplicación web COVID19-Tracker analiza y produce de forma ... ...

    Abstract Resumen: La visualización de datos es una herramienta relevante para explorar y comunicar resultados en la investigación médica, en especial cuando se trata de vigilancia epidemiológica. La aplicación web COVID19-Tracker analiza y produce de forma sistemática visualizaciones diarias de los datos de la epidemia de COVID-19 de casos diagnosticados y fallecimientos desde el 24 de febrero de 2020 en adelante. Se han desarrollado tres aplicaciones para: 1) análisis de la tendencia y proyecciones a corto plazo; 2) estimación de la tasa de letalidad; y 3) efecto del estado de alarma sobre la tendencia de datos incidentes. La aplicación online puede ser de utilidad para un mejor conocimiento de la epidemia de SARS-CoV-2 en España. Abstract: Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24th, 2020 onwards. Three applications have already been developed: 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate; and 3) to assess the effect of the lockdowns on the data trends. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain.
    Schlagwörter SARS-CoV-2 ; Data visualization ; Web browser ; Poisson regression ; Public aspects of medicine ; RA1-1270
    Sprache Englisch
    Erscheinungsdatum 2021-01-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España.

    Valls, Joan / Tobías, Aurelio / Satorra, Pau / Tebé, Cristian

    Gaceta sanitaria

    2020  Band 35, Heft 1, Seite(n) 99–101

    Abstract: Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis ...

    Titelübersetzung COVID19-Tracker: a shiny app to analise data on SARS-CoV-2 epidemic in Spain.
    Abstract Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24
    Mesh-Begriff(e) COVID-19/epidemiology ; Data Analysis ; Epidemics ; Humans ; Mobile Applications ; Spain/epidemiology
    Schlagwörter covid19
    Sprache Spanisch
    Erscheinungsdatum 2020-04-27
    Erscheinungsland Spain
    Dokumenttyp Journal Article
    ZDB-ID 1038713-4
    ISSN 1578-1283 ; 0213-9111
    ISSN (online) 1578-1283
    ISSN 0213-9111
    DOI 10.1016/j.gaceta.2020.04.002
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic.

    Tebé, Cristian / Valls, Joan / Satorra, Pau / Tobías, Aurelio

    BMC medical research methodology

    2020  Band 20, Heft 1, Seite(n) 235

    Abstract: Background: Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance.: Results: Data on COVID-19 diagnosed cases and mortality, from January 1st, ... ...

    Abstract Background: Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance.
    Results: Data on COVID-19 diagnosed cases and mortality, from January 1st, 2020, onwards is collected automatically from the European Centre for Disease Prevention and Control (ECDC). We have developed a Shiny application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using ECDC data. A country-specific tool for basic epidemiological surveillance, in an interactive and user-friendly manner. The available analyses cover time trends and projections, attack rate, population fatality rate, case fatality rate, and basic reproduction number.
    Conclusions: The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application may help for a better understanding of the SARS-CoV-2 epidemic worldwide.
    Mesh-Begriff(e) Algorithms ; Betacoronavirus/isolation & purification ; Betacoronavirus/physiology ; COVID-19 ; Computational Biology/methods ; Computational Biology/statistics & numerical data ; Coronavirus Infections/epidemiology ; Coronavirus Infections/transmission ; Coronavirus Infections/virology ; Data Visualization ; Europe/epidemiology ; Global Health/statistics & numerical data ; Humans ; Incidence ; Internet ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/transmission ; Pneumonia, Viral/virology ; Population Surveillance/methods ; SARS-CoV-2
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-09-21
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1471-2288
    ISSN (online) 1471-2288
    DOI 10.1186/s12874-020-01121-9
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: COVID19-world

    Cristian Tebé / Joan Valls / Pau Satorra / Aurelio Tobías

    BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-

    a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic

    2020  Band 7

    Abstract: Abstract Background Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance. Results Data on COVID-19 diagnosed cases and mortality, from January 1st, ... ...

    Abstract Abstract Background Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance. Results Data on COVID-19 diagnosed cases and mortality, from January 1st, 2020, onwards is collected automatically from the European Centre for Disease Prevention and Control (ECDC). We have developed a Shiny application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using ECDC data. A country-specific tool for basic epidemiological surveillance, in an interactive and user-friendly manner. The available analyses cover time trends and projections, attack rate, population fatality rate, case fatality rate, and basic reproduction number. Conclusions The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application may help for a better understanding of the SARS-CoV-2 epidemic worldwide.
    Schlagwörter SARS-CoV-2 ; COVID-19 ; Epidemic ; Data visualization ; Poisson regression ; Mortality ; Medicine (General) ; R5-920 ; covid19
    Thema/Rubrik (Code) 306
    Sprache Englisch
    Erscheinungsdatum 2020-09-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel: Correction: Martinez-Gonzalez et al. Adaptation and Validation of the Diabetic Foot Ulcer Scale-Short Form in Spanish Subjects.

    Martinez-Gonzalez, Dolores / Dòria, Montserrat / Martínez-Alonso, Montserrat / Alcubierre, Nuria / Valls, Joan / Verdú-Soriano, José / Granado-Casas, Minerva / Mauricio, Didac

    Journal of clinical medicine

    2022  Band 11, Heft 19

    Abstract: In the original publication [ ... ]. ...

    Abstract In the original publication [...].
    Sprache Englisch
    Erscheinungsdatum 2022-10-10
    Erscheinungsland Switzerland
    Dokumenttyp Published Erratum
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm11195963
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: COVID19-Tracker

    Valls, Joan / Tobías, Aurelio / Satorra, Pau / Tebé, Cristian

    Gaceta Sanitaria ; ISSN 0213-9111

    una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España

    2020  

    Schlagwörter Public Health, Environmental and Occupational Health ; covid19
    Sprache Spanisch
    Verlag Elsevier BV
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    DOI 10.1016/j.gaceta.2020.04.002
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel: [COVID19-Tracker: a shiny app to analise data on SARS-CoV-2 epidemic in Spain]

    Valls, Joan / Tobias, Aurelio / Satorra, Pau / Tebe, Cristian

    Gac Sanit

    Abstract: Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance The COVID19-Tracker web application systematically produces daily updated data visualization and analysis ... ...

    Abstract Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24(th), 2020 onwards Three applications have already been developed: 1) to analyze data trends and estimating short-term projections;2) to estimate the case fatality rate;and 3) to assess the effect of the lockdowns on the data trends The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #285297
    Datenquelle COVID19

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  9. Artikel ; Online: COVID19-Tracker: A shiny app to produce comprehensive data visualization for SARS-CoV-2 epidemic in Spain

    Tobias, Aurelio / Valls, Joan / Satorra, Pau / Tebe, Cristian

    Abstract: Data visualization is an essential tool for exploring and communicating findings in medical research, and especially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and ... ...

    Abstract Data visualization is an essential tool for exploring and communicating findings in medical research, and especially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of the SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases, intensive care unit admissions, and mortality, from February 24th, 2020 onwards. Two applications have already been developed; 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate, and; 3) To assess the effect of the lockdown measures on the trends of incident data. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain.
    Schlagwörter covid19
    Verlag MedRxiv; WHO
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2020.04.01.20049684
    Datenquelle COVID19

    Kategorien

  10. Artikel ; Online: COVID19-Tracker: A shiny app to produce comprehensive data visualization for SARS-CoV-2 epidemic in Spain

    Tobias, Aurelio / Valls, Joan / Satorra, Pau / Tebe, Cristian

    medRxiv

    Abstract: Data visualization is an essential tool for exploring and communicating findings in medical research, and especially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and ... ...

    Abstract Data visualization is an essential tool for exploring and communicating findings in medical research, and especially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of the SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases, intensive care unit admissions, and mortality, from February 24th, 2020 onwards. Two applications have already been developed; 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate, and; 3) To assess the effect of the lockdown measures on the trends of incident data. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-04-15
    Verlag Cold Spring Harbor Laboratory Press
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2020.04.01.20049684
    Datenquelle COVID19

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