Medicina
Saila
University of L'Aquila
L'Aquila, ItaliaUniversity of L'Aquila-ko ikertzaileekin lankidetzan egindako argitalpenak (12)
2024
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Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study
Journal of Affective Disorders, Vol. 352, pp. 536-551
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Somatic multicomorbidity and disability in patients with psychiatric disorders in comparison to the general population: a quasi-epidemiological investigation in 54,826 subjects from 40 countries (COMET-G study)
CNS Spectrums, Vol. 29, Núm. 2, pp. 126-149
2023
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EULAR points to consider for the definition of clinical and imaging features suspicious for progression from psoriasis to psoriatic arthritis
Annals of the Rheumatic Diseases, Vol. 82, Núm. 9, pp. 1162-1170
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Results of the COVID-19 mental health international for the health professionals (COMET-HP) study: depression, suicidal tendencies and conspiracism
Social Psychiatry and Psychiatric Epidemiology, Vol. 58, Núm. 9, pp. 1387-1410
2022
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A first update on mapping the human genetic architecture of COVID-19
Nature
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Results of the COVID-19 mental health international for the general population (COMET-G) study
European Neuropsychopharmacology, Vol. 54, pp. 21-40
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The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study.
Psychiatry Research, Vol. 315
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Whole-genome sequencing reveals host factors underlying critical COVID-19
Nature, Vol. 607, Núm. 7917, pp. 97-103
2019
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Cross-cultural Validation of the 5-Factor Structure of Negative Symptoms in Schizophrenia
Schizophrenia Bulletin, Vol. 45, Núm. 2, pp. 305-314
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Systemic manifestations of primary Sjögren's syndrome out of the ESSDAI classification: Prevalence and clinical relevance in a large international, multi-ethnic cohort of patients
Clinical and Experimental Rheumatology, Vol. 37, pp. S97-S106
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The Big Data Sjögren consortium: A project for a new data science era
Clinical and Experimental Rheumatology, Vol. 37, pp. S19-S23
2018
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How immunological profile drives clinical phenotype of primary Sjögren's syndrome at diagnosis: Analysis of 10,500 patients (Sjögren Big Data Project)
Clinical and Experimental Rheumatology, Vol. 36, pp. S102-S111