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  1. Article: The Future of Neurorehabilitation: Putting the Brain and Body Together Again.

    Iosa, Marco / Paolucci, Stefano / Morone, Giovanni

    Brain sciences

    2023  Volume 13, Issue 12

    Abstract: The neurorehabilitation of cerebrovascular diseases is a challenging scientific topic that has rapidly grown in recent decades [ ... ]. ...

    Abstract The neurorehabilitation of cerebrovascular diseases is a challenging scientific topic that has rapidly grown in recent decades [...].
    Language English
    Publishing date 2023-11-22
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci13121617
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Advances in antidepressants for treating post-stroke depression.

    Paolucci, Stefano

    Expert opinion on pharmacotherapy

    2017  Volume 18, Issue 10, Page(s) 1011–1017

    Abstract: Introduction: Post-stroke depression (PSD) is a common and serious complication after stroke, occurring in nearly one third of stroke survivors, and affecting mortality rate, functional outcome, rehabilitation results and quality of life. However, in ... ...

    Abstract Introduction: Post-stroke depression (PSD) is a common and serious complication after stroke, occurring in nearly one third of stroke survivors, and affecting mortality rate, functional outcome, rehabilitation results and quality of life. However, in the common clinical practice only a minority of patients are properly treated. A relatively small number of scientific reports are available on clinical usefulness and safety of antidepressants (ADs) in PSD. Areas covered: This report provides an updated review about pharmacological state of art of PSD, including efficacy and safety of different drugs and their role on prevention, treatment and functional outcome. Expert opinion: Even if currently an antidepressant treatment can improve depressive symptoms, neither the optimal drug nor the optimal lengths of treatment, have been identified. Serotonergic drugs are preferable because of their better safety profile, but in the recent years there has been an important debate on possible association between selective serotonin reuptake inhibitor use and increased mortality. Another issue is the potential role of ADs for improving functional recovery. Newer ADs have interesting properties, in particular vortioxetine, due to its properties of enhancing cognitive functions, but further research is needed to clarify its/their role in treatment of PSD.
    MeSH term(s) Antidepressive Agents/therapeutic use ; Cognition/drug effects ; Depression/complications ; Depression/drug therapy ; Depressive Disorder/drug therapy ; Depressive Disorder/prevention & control ; Depressive Disorder/psychology ; Humans ; Piperazines/therapeutic use ; Quality of Life ; Serotonin Uptake Inhibitors/therapeutic use ; Stroke/complications ; Stroke/drug therapy ; Stroke/psychology ; Sulfides/therapeutic use
    Chemical Substances Antidepressive Agents ; Piperazines ; Serotonin Uptake Inhibitors ; Sulfides ; vortioxetine (3O2K1S3WQV)
    Language English
    Publishing date 2017-07
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2001535-5
    ISSN 1744-7666 ; 1465-6566
    ISSN (online) 1744-7666
    ISSN 1465-6566
    DOI 10.1080/14656566.2017.1334765
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5130: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Application of an Artificial Neural Network to Identify the Factors Influencing Neurorehabilitation Outcomes of Patients with Ischemic Stroke Treated with Thrombolysis.

    Iosa, Marco / Paolucci, Stefano / Antonucci, Gabriella / Ciancarelli, Irene / Morone, Giovanni

    Biomolecules

    2023  Volume 13, Issue 2

    Abstract: The administration of thrombolysis usually reduces the risk of death and the consequences of stroke in the acute phase. However, having received thrombolysis administration is not a prognostic factor for neurorehabilitation outcome in the subacute phase ... ...

    Abstract The administration of thrombolysis usually reduces the risk of death and the consequences of stroke in the acute phase. However, having received thrombolysis administration is not a prognostic factor for neurorehabilitation outcome in the subacute phase of stroke. It is conceivably due to the complex intertwining of many clinical factors. An artificial neural network (ANN) analysis could be helpful in identifying the prognostic factors of neurorehabilitation outcomes and assigning a weight to each of the factors considered. This study hypothesizes that the prognostic factors could be different between patients who received and those who did not receive thrombolytic treatment, even if thrombolysis is not a prognostic factor per se. In a sample of 862 patients with ischemic stroke, the tested ANN identified some common factors (such as disability at admission, age, unilateral spatial neglect), some factors with higher weight in patients who received thrombolysis (hypertension, epilepsy, aphasia, obesity), and some other factors with higher weight in the other patients (dysphagia, malnutrition, total arterial circulatory infarction). Despite the fact that thrombolysis is not an independent prognostic factor for neurorehabilitation, it seems to modify the relative importance of other clinical factors in predicting which patients will better respond to neurorehabilitation.
    MeSH term(s) Humans ; Ischemic Stroke/drug therapy ; Thrombolytic Therapy/adverse effects ; Stroke/therapy ; Neurological Rehabilitation ; Neural Networks, Computer
    Language English
    Publishing date 2023-02-09
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2701262-1
    ISSN 2218-273X ; 2218-273X
    ISSN (online) 2218-273X
    ISSN 2218-273X
    DOI 10.3390/biom13020334
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses.

    Iosa, Marco / Morone, Giovanni / Antonucci, Gabriella / Paolucci, Stefano

    Brain sciences

    2021  Volume 11, Issue 9

    Abstract: There is a large body of literature reporting the prognostic factors for a positive outcome of neurorehabilitation performed in the subacute phase of stroke. Despite the recent development of algorithms based on neural networks or cluster analysis for ... ...

    Abstract There is a large body of literature reporting the prognostic factors for a positive outcome of neurorehabilitation performed in the subacute phase of stroke. Despite the recent development of algorithms based on neural networks or cluster analysis for the identification of these prognostic factors, the literature lacks a rigorous comparison among classical regression, neural network, and cluster analysis. Moreover, the three methods have rarely been tested on a sample independent from that in which prognostic factors have been identified. This study aims at providing this comparison on a wide sample of data (1522 patients) and testing the results on an independent sample (1000 patients) using 30 variables. The accuracy was similar among regression, neural network, and cluster analyses on the analyzed sample (76.6%, 74%, and 76.1%, respectively), but on the test sample, the accuracy of neural network decreased (70.1%). The three models agreed in identifying older age, severe impairment, unilateral spatial neglect, and total anterior circulation infarcts as important prognostic factors. The binary regression analysis also provided solid results in the test sample, especially in terms of specificity (81.8%). Cluster analysis also showed a high sensitivity in the test sample (82.6%) and allowed a meaningful easy-to-use classification tree to be obtained.
    Language English
    Publishing date 2021-08-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci11091147
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Correction to: Fe and As geochemical self-removal dynamics in mineral waters: evidence from the Ferrarelle groundwater system (Riardo Plain, Southern Italy).

    Cuoco, Emilio / Viaroli, Stefano / Paolucci, Vittorio / Mazza, Roberto / Tedesco, Dario

    Environmental geochemistry and health

    2021  Volume 44, Issue 3, Page(s) 1179–1181

    Language English
    Publishing date 2021-06-25
    Publishing country Netherlands
    Document type Published Erratum
    ZDB-ID 52039-1
    ISSN 1573-2983 ; 0142-7245 ; 0269-4042
    ISSN (online) 1573-2983
    ISSN 0142-7245 ; 0269-4042
    DOI 10.1007/s10653-021-00989-w
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4723: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article: Robot- and Technology-Boosting Neuroplasticity-Dependent Motor-Cognitive Functional Recovery: Looking towards the Future of Neurorehabilitation.

    Morone, Giovanni / Iosa, Marco / Calabrò, Rocco Salvatore / Cerasa, Antonio / Paolucci, Stefano / Antonucci, Gabriella / Ciancarelli, Irene

    Brain sciences

    2023  Volume 13, Issue 12

    Abstract: The sequelae of neurological disorders are the leading causes of disability in all industrialized countries [ ... ]. ...

    Abstract The sequelae of neurological disorders are the leading causes of disability in all industrialized countries [...].
    Language English
    Publishing date 2023-12-07
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci13121687
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Robot-assisted therapy for arm recovery for stroke patients: state of the art and clinical implication.

    Morone, Giovanni / Cocchi, Ilaria / Paolucci, Stefano / Iosa, Marco

    Expert review of medical devices

    2020  Volume 17, Issue 3, Page(s) 223–233

    Abstract: ... ...

    Abstract Introduction
    MeSH term(s) Arm/physiopathology ; Humans ; Recovery of Function/physiology ; Robotics/methods ; Stroke/complications ; Stroke/physiopathology ; Stroke Rehabilitation/methods
    Language English
    Publishing date 2020-02-28
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2250857-0
    ISSN 1745-2422 ; 1743-4440
    ISSN (online) 1745-2422
    ISSN 1743-4440
    DOI 10.1080/17434440.2020.1733408
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6424: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  8. Article: The burden of chronic pain and the role of neurorehabilitation: consensus matters where evidence is lacking.

    Tamburin, Stefano / Paolucci, Stefano / Smania, Nicola / Sandrini, Giorgio

    Journal of pain research

    2017  Volume 10, Page(s) 101–103

    Language English
    Publishing date 2017-01-04
    Publishing country New Zealand
    Document type Editorial
    ZDB-ID 2495284-9
    ISSN 1178-7090
    ISSN 1178-7090
    DOI 10.2147/JPR.S125715
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The nine circles of EBM hell.

    Iosa, M / Antonucci, G / Paolucci, Stefano

    Functional neurology

    2019  Volume 34, Issue 2, Page(s) 63–64

    MeSH term(s) Data Interpretation, Statistical ; Evidence-Based Medicine ; Humans ; Neurosciences/methods
    Language English
    Publishing date 2019-09-25
    Publishing country Italy
    Document type Editorial
    ZDB-ID 645047-7
    ISSN 1971-3274 ; 0393-5264
    ISSN (online) 1971-3274
    ISSN 0393-5264
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2434: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article: Covid-19: A Dynamic Analysis of Fatality Risk in Italy.

    Iosa, Marco / Paolucci, Stefano / Morone, Giovanni

    Frontiers in medicine

    2020  Volume 7, Page(s) 185

    Abstract: Italy was the second country in the world to face a wide epidemic of Covid-19 after China. The ratio of the number of fatalities to the number of cases (case fatality ratio, CFR) recorded in Italy was surprisingly high and increased in the month of March. ...

    Abstract Italy was the second country in the world to face a wide epidemic of Covid-19 after China. The ratio of the number of fatalities to the number of cases (case fatality ratio, CFR) recorded in Italy was surprisingly high and increased in the month of March. The older mean age of population, the changes in testing policy, and the methodological computation of CFR were previously reported as possible explanations for the incremental trend of CFR, a parameter theoretically expected to be constant. In this brief report, the official data provided by the Italian Ministry of Health were analyzed using fitting models and the linear fit method approach. This last methodology allowed us to reach two findings. The trend of the number of deaths followed a 1-3-day delay of positive cases. This delay was not compatible with a biological course of Covid-19 but was compatible with a health management explanation. The second finding is that the Italian number of deaths did not increase linearly with the number of positive cases, but their relationship could be modeled by a second-order polynomial function. The high number of positive cases might have a direct and an indirect effect on the number of deaths, the latter being related to the overwhelmed bed capacity of intensive care units.
    Keywords covid19
    Language English
    Publishing date 2020-04-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2020.00185
    Database MEDical Literature Analysis and Retrieval System OnLINE

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