Use and Impact of Social Networks on Physical Medicine and Rehabilitation Scientific Journals

Q4Objectives: Our research seeks to examine the correlation between the presence of physical medicine and rehabilitation journals in social networks and the SJR impact factor. Methods: We carried out a correlation study. For the research, we took into account all physical medicine and rehabilitation journals included in the SCImago Journal Rank. The number of followers on Twitter, Facebook, YouTube, and the number of tweets were extracted from verified accounts. Journal differences according to the presence in social networks were evaluated using non-parametric tests, and the Spearman correlation coefficient was calculated between the metrics of dissemination in social networks and the SCImago Journal Rank. Results: Out of 122 physical medicine and rehabilitation journals, 25.4% had the presence in one social network. The H Index medians (32 vs 17, P=0.014) and of the SJR (0.67 vs 0.32, P= 0.001) were better in journals with the presence in social networks. A moderate correlation was found between the SJR and the number of followers on Twitter (r=0.5, P=0.066). The global correlation between the SJR and followers on Facebook was acceptable (r=0.4, P=0.1205). Discussion: Our data show that scientific journals of physical medicine and rehabilitation with presence in social networks have superior quality metrics. Additionally, SJR and the indicators of dissemination in social networks are moderately correlated. Both metrics offer complementary information. Presence in social networks could improve the visibility of journals and their interaction with readers.Revista Internacional - Indexad

Relationship between internal medicine journals’ activity on social networks and the citations they receive

Antecedentes y objetivo Las redes sociales son medios de divulgación de información científica. Se han generado métricas alternativas que evalúan el impacto de publicaciones científicas en redes sociales. Este estudio busca evaluar si existe correlación entre la actividad de las revistas de medicina interna en las redes sociales y las métricas tradicionales basadas en citaciones. Métodos Se identificaron las revistas de medicina interna a partir de la base de datos SCImago. Se extrajo información de las métricas tradicionales y alternativas de actividad de las revistas en Facebook, Twitter, YouTube e Instagram. Se evaluó correlación mediante el coeficiente de Spearman. Resultados De un total de 134 revistas de medicina interna, 17 contaban con presencia en las redes sociales evaluadas. El índice SJR fue más alto en revistas con red social vs. sin red social (59 vs. 18, p<0,0001), y la correlación global entre el índice SJR y el número de seguidores/año en Facebook fue muy fuerte (coeficiente de Spearman 0,95, p<0,05) y fuerte para el número de seguidores/año en Twitter (coeficiente de Spearman 0,54, p <0,05). Conclusiones Nuestro estudio sugiere que existe una correlación muy fuerte entre las métricas de actividad de las redes sociales, comparado con las métricas tradicionales basadas en el número de citaciones en revistas de medicina interna.Q3Background and objectives Social networks are a means for disseminating scientific information. Alternative metrics assessing the impact of scientific publications on social networks have been created. Our study aims to assess the correlation between the activity of internal medicine journals on social networks and traditional metrics based on citations. Methods Internal medicine journals were identified in the SCImago-Scopus database and information on traditional impact metrics was extracted. In addition, alternative metrics of activity were determined for Facebook, Twitter, YouTube, and Instagram. The correlation was assessed through Spearman's correlation coefficient. Results Of 134 Internal Medicine journals, 17 had a presence on the social networks evaluated. The SJR index was higher in journals with a presence on social networks vs. those without (59 vs. 18, p <.0001). The overall correlation between the SJR index and the number of followers/year was very strong for Facebook (Spearman's correlation coefficient 0.95, p <.05) and strong for Twitter (Spearman's correlation coefficient 0.54 p <.05). Conclusions Our study suggests that there is a very strong correlation between social network activity metrics (mainly Facebook and Twitter) compared to traditional metrics based on the number of citations of internal medicine journals.Revista Internacional - Indexad

Crioglobulinemia esencial como causa de hemorragia alveolar - reporte de caso y revisión de la literatura

Presentamos el caso de una paciente quien ingresa por la presencia de lesiones petequiales, artralgias y una úlcera en miembro inferior. La presencia de azoados en ascenso progresivo se documenta durante su estancia. Se instaura manejo con corticoide IV sin respuesta y se obtienen mejoría con plasmaféresis. Posteriormente se observa la presencia de deterioro del patrón respiratorio, disnea sumado a la presencia de compromiso pulmonar en parches por medio de tomografía de tórax y con evidencia de hemorragia alveolar. Se descartan causas autoinmunes e infecciosas, así como neoplasias hematológicas. Se concluye que la presencia de crioglobulinemia es la única causa de dicha entidad

Prevalence of rheumatic disease in a cohort of patients with human immunodeficiency virus infection

Objetivo: Describir la prevalencia de enfermedades reumáticas en una cohorte de pacientes con infección por VIH y sus características demográficas y clínicas. Pacientes y métodos: Estudio descriptivo de corte transversal de una cohorte de 1.712 pacientes con infección por VIH, en un hospital universitario, seguidos desde enero del 2005 hasta septiembre del 2013. Resultados: Se encontró una prevalencia de enfermedades reumáticas del 5,2% (n= 89 casos), el 24% de sexo femenino y el 76% de sexo masculino. Edad promedio ± desviación estándar 45 ± 11 anos. ˜ Las enfermedades encontradas fueron: artritis reactiva 15% (n= 14), artrosis 15% (n= 14), púrpura trombocitopénica inmune 11% (n= 10), otras 59% (n= 53). El tiempo promedio entre el diagnóstico de VIH y la condición reumática fue de 73 ± 66 meses. Dentro de las comorbilidades se encontraron: dislipidemia 39% (n= 43), hepatitis B 17% (n= 19), lipodistrofia 11% (n= 12), herpes zóster 10% (n= 11) e hipotiroidismo 9% (n= 10). Conclusiones: Se presenta información respecto a las comorbilidades reumáticas en una cohorte de pacientes con infección por VIH. Como se ha documentado en otras series, la artritis reactiva fue la enfermedad reumática más frecuente junto con osteoartrosis. Nuestro estudio evidencia una tendencia hacia el envejecimiento de los pacientes con VIH gracias a un mejor control de la enfermedad, con el uso de terapia antirretroviral, lo cual aumenta la prevalencia de osteoartrosis. © 2014 Asociación Colombiana de Reumatología. Publicado por Elsevier España, S.L.U. Todos los derechos reservados.Artículo original79-83Objective: To describe the prevalence of rheumatic diseases in a cohort of patients with HIV infection attending a university hospital, along with their demographic and clinicalfeatures. Patients and methods: Cross-sectional study of 1712 outpatients with HIV infection treated at a university hospital between January 2005 and September 2013. Results: There was a prevalence of rheumatic diseases of 5.2% (n=89) in the patients studies, with 76% being male patients. The mean age of onset was 45 ± 11 years. Fourteen patients had reactive arthritis (15%), 14 had osteoarthritis (15%), 10 had immune thrombocytopenic purpura (11%), and 53 had other conditions (59%). The mean time between HIV diagnosis and rheumatic condition onset was 73 ± 66 months. The most prevalent comorbidities were dyslipidemia in 12 patients (11%), hepatitis B in 19 (17%), lipodystrophy in 12 (11%), herpes zoster in 11 (10%) and hypothyroidism in 10 (9%). Conclusions: A description is presented on the rheumatic diseases found in a cohort of patients with HIV infection. As reported in previous series, reactive arthritis is the most frequent rheumatic condition along with osteoarthritis. This study shows a trend towards successful aging of HIV patients due to a better control of the disease with the use of antiretroviral therapy, but with an increasing prevalence of osteoarthritis. © 2014 Asociación Colombiana de Reumatología. Published by Elsevier España, S.L.U. All rights reserved

Pilot multi-omic analysis of human bile from benign and malignant biliary strictures: a machine-learning approach

Cholangiocarcinoma (CCA) and pancreatic adenocarcinoma (PDAC) may lead to the development of extrahepatic obstructive cholestasis. However, biliary stenoses can also be caused by benign conditions, and the identification of their etiology still remains a clinical challenge. We performed metabolomic and proteomic analyses of bile from patients with benign (n = 36) and malignant conditions, CCA (n = 36) or PDAC (n = 57), undergoing endoscopic retrograde cholangiopancreatography with the aim of characterizing bile composition in biliopancreatic disease and identifying biomarkers for the differential diagnosis of biliary strictures. Comprehensive analyses of lipids, bile acids and small molecules were carried out using mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (1H-NMR) in all patients. MS analysis of bile proteome was performed in five patients per group. We implemented artificial intelligence tools for the selection of biomarkers and algorithms with predictive capacity. Our machine-learning pipeline included the generation of synthetic data with properties of real data, the selection of potential biomarkers (metabolites or proteins) and their analysis with neural networks (NN). Selected biomarkers were then validated with real data. We identified panels of lipids (n = 10) and proteins (n = 5) that when analyzed with NN algorithms discriminated between patients with and without cancer with an unprecedented accuracy.This research was funded by: Instituto de Salud Carlos III (ISCIII) co-financed by Fondo Europeo de Desarrollo Regional (FEDER) Una manera de hacer Europa, grant numbers: PI16/01126 (M.A.A.), PI19/00819 (M.J.M. and J.J.G.M.), PI15/01132, PI18/01075 and Miguel Servet Program CON14/00129 (J.M.B.); Fundación Científica de la Asociación Española Contra el Cáncer (AECC Scientific Foundation), grant name: Rare Cancers 2017 (J.M.U., M.L.M., J.M.B., M.J.M., R.I.R.M., M.G.F.-B., C.B., M.A.A.); Gobierno de Navarra Salud, grant number 58/17 (J.M.U., M.A.A.); La Caixa Foundation, grant name: HEPACARE (C.B., M.A.A.); AMMF The Cholangiocarcinoma Charity, UK, grant number: 2018/117 (F.J.C. and M.A.A.); PSC Partners US, PSC Supports UK, grant number 06119JB (J.M.B.); Horizon 2020 (H2020) ESCALON project, grant number H2020-SC1-BHC-2018–2020 (J.M.B.); BIOEF (Basque Foundation for Innovation and Health Research: EiTB Maratoia, grant numbers BIO15/CA/016/BD (J.M.B.) and BIO15/CA/011 (M.A.A.). Department of Health of the Basque Country, grant number 2017111010 (J.M.B.). La Caixa Foundation, grant number: LCF/PR/HP17/52190004 (M.L.M.), Mineco-Feder, grant number SAF2017-87301-R (M.L.M.), Fundación BBVA grant name: Ayudas a Equipos de Investigación Científica Umbrella 2018 (M.L.M.). MCIU, grant number: Severo Ochoa Excellence Accreditation SEV-2016-0644 (M.L.M.). Part of the equipment used in this work was co-funded by the Generalitat Valenciana and European Regional Development Fund (FEDER) funds (PO FEDER of Comunitat Valenciana 2014–2020). Gobierno de Navarra fellowship to L.C. (Leticia Colyn); AECC post-doctoral fellowship to M.A.; Ramón y Cajal Program contracts RYC-2014-15242 and RYC2018-024475-1 to F.J.C. and M.G.F.-B., respectively. The generous support from: Fundación Eugenio Rodríguez Pascual, Fundación Echébano, Fundación Mario Losantos, Fundación M Torres and Mr. Eduardo Avila are acknowledged. The CNB-CSIC Proteomics Unit belongs to ProteoRed, PRB3-ISCIII, supported by grant PT17/0019/0001 (F.J.C.). Comunidad de Madrid Grant B2017/BMD-3817 (F.J.C.).Peer reviewe

Nationwide genetic analysis of more than 600 families with inherited eye diseases in Argentina

This study corresponds to the first large-scale genetic analysis of inherited eye diseases (IED) in Argentina and describes the comprehensive genetic profile of a large cohort of patients. Medical records of 22 ophthalmology and genetics services throughout 13 Argentinian provinces were analyzed retrospectively. Patients with a clinical diagnosis of an ophthalmic genetic disease and a history of genetic testing were included. Medical, ophthalmological and family history was collected. A total of 773 patients from 637 families were included, with 98% having inherited retinal disease. The most common phenotype was retinitis pigmentosa (RP, 62%). Causative variants were detected in 379 (59%) patients. USH2A, RPGR, and ABCA4 were the most common disease-associated genes. USH2A was the most frequent gene associated with RP, RDH12 early-onset severe retinal dystrophy, ABCA4 Stargardt disease, PROM1 cone-rod dystrophy, and BEST1 macular dystrophy. The most frequent variants were RPGR c.1345 C > T, p.(Arg449*) and USH2A c.15089 C > A, p.(Ser5030*). The study revealed 156/448 (35%) previously unreported pathogenic/likely pathogenic variants and 8 possible founder mutations. We present the genetic landscape of IED in Argentina and the largest cohort in South America. This data will serve as a reference for future genetic studies, aid diagnosis, inform counseling, and assist in addressing the largely unmet need for clinical trials to be conducted in the region