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  1. Article ; Online: COVID-19 with Pulmonary Involvement. An Autoimmune Disease of Known Cause.

    Fernandez-Gutierrez, Benjamin

    Reumatologia clinica

    2020  Volume 16, Issue 4, Page(s) 253–254

    Title translation COVID-19 con afectación pulmonar. Una enfermedad autoinmune de causa conocida.
    MeSH term(s) Autoimmune Diseases/drug therapy ; Autoimmune Diseases/immunology ; Autoimmune Diseases/virology ; Betacoronavirus/immunology ; COVID-19 ; Coronavirus Infections/drug therapy ; Coronavirus Infections/immunology ; Coronavirus Infections/virology ; Humans ; Immunologic Factors/therapeutic use ; Pandemics ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/immunology ; Pneumonia, Viral/virology ; SARS-CoV-2
    Chemical Substances Immunologic Factors
    Keywords covid19
    Language Spanish
    Publishing date 2020-04-08
    Publishing country Spain
    Document type Editorial
    ISSN 2173-5743
    ISSN (online) 2173-5743
    DOI 10.1016/j.reuma.2020.04.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Effect of combined treatment with prednisone and methotrexate versus prednisone alone over laboratory parameters in giant cell arteritis.

    Perez-Sancristobal, Ines / Alvarez-Hernandez, Paula / Lajas-Petisco, Cristina / Fernandez-Gutierrez, Benjamin

    Reumatologia clinica

    2024  Volume 20, Issue 2, Page(s) 108–112

    Abstract: Objective: To compare the effect of combined treatment with prednisone and methotrexate (MTX) versus prednisone alone over laboratory parameters in giant cell arteritis (GCA).: Patients and methods: We performed a double-blind, placebo-controlled, ... ...

    Abstract Objective: To compare the effect of combined treatment with prednisone and methotrexate (MTX) versus prednisone alone over laboratory parameters in giant cell arteritis (GCA).
    Patients and methods: We performed a double-blind, placebo-controlled, randomized clinical trial about usefulness of treatment with prednisone and MTX versus prednisone and placebo in GCA (Ann Intern Med 2001;134:106-114). As a part of follow-up of patients (n=42), we performed laboratory analysis in 20 time points during the two-year period of follow-up. To analyze differences, we calculated the area under the curve (AUC) for erythrocyte sedimentation rate (ESR), hemoglobin, and platelets, and compared the results in both groups adjusting by time of follow-up, existence of relapses and dose of prednisone.
    Results: A total of 724 laboratory measurements were done. Median value of ESR was 33 [18-56] in patients with placebo and 26 [15-44] in patients with MTX (P=0.0002). No significant differences were observed in ESR during relapses. The mean ESR value followed a parallel course in both groups, but was lower in the group with MTX than in the group with placebo in 18 of 20 time points of follow-up. The AUC of ESR by time of follow-up was 28,461.7±12,326 in the group with placebo and 19,598.4±8,117 in the group with MTX (mean difference 8,863, 95% CI 1.542-16.184; P=0.019). The course of other laboratory parameters paralleled, without statistical significance, those observed for ESR.
    Conclusions: These data, along with clinical data, suggest that MTX might play a role as a disease-modifying agent in the treatment of GCA.
    MeSH term(s) Humans ; Giant Cell Arteritis/drug therapy ; Methotrexate/therapeutic use ; Prednisone/therapeutic use ; Recurrence ; Double-Blind Method
    Chemical Substances Methotrexate (YL5FZ2Y5U1) ; Prednisone (VB0R961HZT)
    Language English
    Publishing date 2024-02-23
    Publishing country Spain
    Document type Randomized Controlled Trial
    ISSN 2173-5743
    ISSN (online) 2173-5743
    DOI 10.1016/j.reumae.2024.01.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Understanding the role and adoption of artificial intelligence techniques in rheumatology research: An in-depth review of the literature.

    Madrid-García, Alfredo / Merino-Barbancho, Beatriz / Rodríguez-González, Alejandro / Fernández-Gutiérrez, Benjamín / Rodríguez-Rodríguez, Luis / Menasalvas-Ruiz, Ernestina

    Seminars in arthritis and rheumatism

    2023  Volume 61, Page(s) 152213

    Abstract: The major and upward trend in the number of published research related to rheumatic and musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the interest of rheumatology researchers in using these techniques to ... ...

    Abstract The major and upward trend in the number of published research related to rheumatic and musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the interest of rheumatology researchers in using these techniques to answer their research questions. In this review, we analyse the original research articles that combine both worlds in a five- year period (2017-2021). In contrast to other published papers on the same topic, we first studied the review and recommendation articles that were published during that period, including up to October 2022, as well as the publication trends. Secondly, we review the published research articles and classify them into one of the following categories: disease identification and prediction, disease classification, patient stratification and disease subtype identification, disease progression and activity, treatment response, and predictors of outcomes. Thirdly, we provide a table with illustrative studies in which artificial intelligence techniques have played a central role in more than twenty rheumatic and musculoskeletal diseases. Finally, the findings of the research articles, in terms of disease and/or data science techniques employed, are highlighted in a discussion. Therefore, the present review aims to characterise how researchers are applying data science techniques in the rheumatology medical field. The most immediate conclusions that can be drawn from this work are: multiple and novel data science techniques have been used in a wide range of rheumatic and musculoskeletal diseases including rare diseases; the sample size and the data type used are heterogeneous, and new technical approaches are expected to arrive in the short-middle term.
    MeSH term(s) Humans ; Rheumatology/methods ; Artificial Intelligence ; Musculoskeletal Diseases/diagnosis
    Language English
    Publishing date 2023-05-30
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 120247-9
    ISSN 1532-866X ; 0049-0172
    ISSN (online) 1532-866X
    ISSN 0049-0172
    DOI 10.1016/j.semarthrit.2023.152213
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: COVID-19 with pulmonary involvement. An autoimmune disease of known cause

    Fernandez-Gutierrez, Benjamin

    Reumatología Clínica (English Edition)

    2020  Volume 16, Issue 4, Page(s) 253–254

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 2173-5743
    DOI 10.1016/j.reumae.2020.04.001
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: COVID-19 con afectación pulmonar. Una enfermedad autoinmune de causa conocida

    Fernandez-Gutierrez, Benjamin

    Reumatología Clínica

    2020  Volume 16, Issue 4, Page(s) 253–254

    Keywords Rheumatology ; covid19
    Language Spanish
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2231357-6
    ISSN 1699-258X
    ISSN 1699-258X
    DOI 10.1016/j.reuma.2020.04.001
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: COVID-19 con afectación pulmonar. Una enfermedad autoinmune de causa conocida./ COVID-19 con afectación pulmonar. Una enfermedad autoinmune de causa conocida./ COVID-19 with Pulmonary Involvement. An Autoimmune Disease of Known Cause

    Fernandez-Gutierrez, Benjamin

    Reumatol Clin

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #38286
    Database COVID19

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  7. Article ; Online: The Spanish National Commission of Specialty in the Context of Troncality.

    Izquierdo, María Galindo / Fernández-Gutiérrez, Benjamín

    Reumatologia clinica

    2018  Volume 15, Issue 1, Page(s) 1–2

    Title translation La comisión nacional de la especialidad en España en el contexto de la troncalidad.
    MeSH term(s) Education, Medical, Graduate/legislation & jurisprudence ; Education, Medical, Graduate/methods ; Education, Medical, Graduate/standards ; Government Regulation ; Rheumatology/education ; Rheumatology/legislation & jurisprudence ; Rheumatology/standards ; Spain ; Specialization/legislation & jurisprudence ; Specialization/standards
    Language Spanish
    Publishing date 2018-12-31
    Publishing country Spain
    Document type Editorial
    ISSN 2173-5743
    ISSN (online) 2173-5743
    DOI 10.1016/j.reuma.2018.12.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Long-Term Benefit of Perlingual Polybacterial Vaccines in Patients with Systemic Autoimmune Diseases and Active Immunosuppression.

    Pérez-Sancristóbal, Inés / de la Fuente, Eduardo / Álvarez-Hernández, María Paula / Guevara-Hoyer, Kissy / Morado, Concepción / Martínez-Prada, Cristina / Freites-Nuñez, Dalifer / Villaverde, Virginia / Fernández-Arquero, Miguel / Fernández-Gutiérrez, Benjamín / Sánchez-Ramón, Silvia / Candelas, Gloria

    Biomedicines

    2023  Volume 11, Issue 4

    Abstract: Introduction: We have previously shown that trained-immunity-based vaccines, namely TIbV, significantly reduce the rate of recurrent infections, both of the respiratory tract (RRTI) and urinary tract infections (RUTI) in SAD patients on disease- ... ...

    Abstract Introduction: We have previously shown that trained-immunity-based vaccines, namely TIbV, significantly reduce the rate of recurrent infections, both of the respiratory tract (RRTI) and urinary tract infections (RUTI) in SAD patients on disease-modifying drugs (DMARDs).
    Objective: We evaluated the frequency of RRTI and RUTI from 2018 to 2021 in those SAD patients that received TIbV until 2018. Secondarily, we evaluated the incidence and clinical course of COVID-19 in this cohort.
    Methods: A retrospective observational study was conducted in a cohort of SAD patients under active immunosuppression immunized with TIbV (MV130 for RRTI and MV140 for RUTI, respectively).
    Results: Forty-one SAD patients on active immunosuppression that were given TIbV up to 2018 were studied for RRTI and RUTI during the 2018-2021 period. Approximately half of the patients had no infections during 2018-2021 (51.2% no RUTI and 43.5% no RRTI at all). When we compared the 3-year period with the 1-year pre-TIbV, RRTI (1.61 ± 2.26 vs. 2.76 ± 2.57;
    Conclusions: Even though the beneficial protective effects against infections of TIbV progressively decreased, they remained low for up to 3 years, with significantly reduced infections compared to the year prior to vaccination, further supporting a long-term benefit of TIbV in this setting. Moreover, an absence of infections was observed in almost half of patients.
    Language English
    Publishing date 2023-04-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11041168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Harnessing ChatGPT and GPT-4 for evaluating the rheumatology questions of the Spanish access exam to specialized medical training.

    Madrid-García, Alfredo / Rosales-Rosado, Zulema / Freites-Nuñez, Dalifer / Pérez-Sancristóbal, Inés / Pato-Cour, Esperanza / Plasencia-Rodríguez, Chamaida / Cabeza-Osorio, Luis / Abasolo-Alcázar, Lydia / León-Mateos, Leticia / Fernández-Gutiérrez, Benjamín / Rodríguez-Rodríguez, Luis

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 22129

    Abstract: The emergence of large language models (LLM) with remarkable performance such as ChatGPT and GPT-4, has led to an unprecedented uptake in the population. One of their most promising and studied applications concerns education due to their ability to ... ...

    Abstract The emergence of large language models (LLM) with remarkable performance such as ChatGPT and GPT-4, has led to an unprecedented uptake in the population. One of their most promising and studied applications concerns education due to their ability to understand and generate human-like text, creating a multitude of opportunities for enhancing educational practices and outcomes. The objective of this study is twofold: to assess the accuracy of ChatGPT/GPT-4 in answering rheumatology questions from the access exam to specialized medical training in Spain (MIR), and to evaluate the medical reasoning followed by these LLM to answer those questions. A dataset, RheumaMIR, of 145 rheumatology-related questions, extracted from the exams held between 2010 and 2023, was created for that purpose, used as a prompt for the LLM, and was publicly distributed. Six rheumatologists with clinical and teaching experience evaluated the clinical reasoning of the chatbots using a 5-point Likert scale and their degree of agreement was analyzed. The association between variables that could influence the models' accuracy (i.e., year of the exam question, disease addressed, type of question and genre) was studied. ChatGPT demonstrated a high level of performance in both accuracy, 66.43%, and clinical reasoning, median (Q1-Q3), 4.5 (2.33-4.67). However, GPT-4 showed better performance with an accuracy score of 93.71% and a median clinical reasoning value of 4.67 (4.5-4.83). These findings suggest that LLM may serve as valuable tools in rheumatology education, aiding in exam preparation and supplementing traditional teaching methods.
    MeSH term(s) Humans ; Rheumatology ; Educational Status ; Biological Transport ; Hydrolases ; Language
    Chemical Substances Hydrolases (EC 3.-)
    Language English
    Publishing date 2023-12-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-49483-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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