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  1. Article ; Online: On the association between the ABO blood group and COVID-19 susceptibility.

    Golinelli, Davide

    Blood transfusion = Trasfusione del sangue

    2020  Volume 19, Issue 1, Page(s) 89–90

    MeSH term(s) ABO Blood-Group System/analysis ; COVID-19/etiology ; COVID-19/transmission ; Humans ; Risk Factors ; SARS-CoV-2/isolation & purification ; SARS-CoV-2/physiology ; Virus Internalization
    Chemical Substances ABO Blood-Group System
    Language English
    Publishing date 2020-11-12
    Publishing country Italy
    Document type Letter
    ZDB-ID 2135732-8
    ISSN 2385-2070 ; 0041-1787 ; 1723-2007
    ISSN (online) 2385-2070
    ISSN 0041-1787 ; 1723-2007
    DOI 10.2450/2020.0356-20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 798: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Analyzing the 20-year declining trend of hospital length-of-stay in European countries with different healthcare systems and reimbursement models.

    Golinelli, Davide / Sanmarchi, Francesco / Toscano, Fabrizio / Bucci, Andrea / Nante, Nicola

    International journal of health economics and management

    2024  

    Abstract: The study aims to investigate the last 20-year (2000-2019) of hospital length of stay (LOS) trends and their association with different healthcare systems (HS) among 25 European countries. A panel dataset was created using secondary data from Eurostat ... ...

    Abstract The study aims to investigate the last 20-year (2000-2019) of hospital length of stay (LOS) trends and their association with different healthcare systems (HS) among 25 European countries. A panel dataset was created using secondary data from Eurostat and Global Burden of Disease study databases, with dependent and control variables aggregated at the national level over a period of 20 years. A time trend analysis was conducted using a weighted least squares model for panel data to investigate the association between LOS, HS models [National Health Service (NHS), National Health Insurance, Social Health Insurance (SHI), and Etatist Social Health Insurance], healthcare reimbursement schemes [Prospective Global Budget (PGB), Diagnosis Related Groups (DRG), and Procedure Service Payment (PSP)], and control variables. The study showed a reduction of average LOS from 9.20 days in 2000 to 7.24 in 2019. SHI was associated with a lower LOS compared to NHS (b = - 0.6327, p < 0.05). Both DRG (b = 1.2399, p < 0.05) and PSP (b = 1.1677, p < 0.05) reimbursement models were positively associated with LOS compared to PGB. Our results confirmed the downward trend of LOS in the last 20 years, its multifactorial nature, and the influence of the SHI model of HS. This could be due to the financial incentives present in fee-for-service payment models and the role of competition in creating a market for healthcare services. These results offer insight into the factors influencing healthcare utilization and can inform the design of more effective, efficient, and sustainable HS.
    Language English
    Publishing date 2024-03-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2817492-6
    ISSN 2199-9031 ; 2199-9023
    ISSN (online) 2199-9031
    ISSN 2199-9023
    DOI 10.1007/s10754-024-09369-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Correction to: Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.

    Sanmarchi, Francesco / Fanconi, Claudio / Golinelli, Davide / Gori, Davide / Hernandez-Boussard, Tina / Capodici, Angelo

    Journal of nephrology

    2023  Volume 36, Issue 4, Page(s) 1219

    Language English
    Publishing date 2023-03-07
    Publishing country Italy
    Document type Published Erratum
    ZDB-ID 1093991-x
    ISSN 1724-6059 ; 1120-3625 ; 1121-8428
    ISSN (online) 1724-6059
    ISSN 1120-3625 ; 1121-8428
    DOI 10.1007/s40620-023-01609-9
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3369: Show issues Location:
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  4. Article: Injury Patterns and Gender in Italy.

    Maietti, Elisa / Capodici, Angelo / Sanmarchi, Francesco / Fantini, Maria Pia / Nante, Nicola / Golinelli, Davide

    Annali di igiene : medicina preventiva e di comunita

    2024  Volume 36, Issue 3, Page(s) 302–312

    Abstract: Introduction: Globally, injuries pose significant public health challenges, with road traffic accidents in particular being responsible for considerable morbidity, mortality, and economic distress. Italy has been significantly impacted due to its high ... ...

    Abstract Introduction: Globally, injuries pose significant public health challenges, with road traffic accidents in particular being responsible for considerable morbidity, mortality, and economic distress. Italy has been significantly impacted due to its high population density and frequency of road traffic and domestic incidents.
    Method: This study set out to investigate the incidence of self-reported road traffic and home and leisure accidents in the Italian general population. A particular emphasis was placed on exploring possible gender differences across varying age groups. The data was obtained from the European Health Interview Survey and a representative sample of the Italian population was analyzed.
    Results: The analysis revealed that regardless of age, women experienced a reduced risk of road traffic accidents compared to men. However, gender disparities in home-leisure accidents were observed to be age-dependent. Women under the age of 25 exhibited a lower likelihood of home-leisure accidents and serious accidents necessitating hospital admission in comparison to their male counterparts. In contrast, women aged 65 and above had an increased likelihood of home-leisure accidents as opposed to men in the same age category.
    Conclusions: The findings of this study highlight the importance of considering age and gender as significant factors in the occurrence of different types of accidents, offering insight into how injury rates vary between these demographic groups within Italy.
    MeSH term(s) Humans ; Male ; Female ; Accidents, Traffic ; Hospitalization ; Incidence ; Italy/epidemiology ; Self Report ; Wounds and Injuries/epidemiology
    Language English
    Publishing date 2024-04-18
    Publishing country Italy
    Document type Evaluation Study
    ZDB-ID 1018045-x
    ISSN 1120-9135 ; 0029-6287
    ISSN 1120-9135 ; 0029-6287
    DOI 10.7416/ai.2024.2620
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2845: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  5. Article ; Online: Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.

    Sanmarchi, Francesco / Fanconi, Claudio / Golinelli, Davide / Gori, Davide / Hernandez-Boussard, Tina / Capodici, Angelo

    Journal of nephrology

    2023  Volume 36, Issue 4, Page(s) 1101–1117

    Abstract: Objectives: In this systematic review we aimed at assessing how artificial intelligence (AI), including machine learning (ML) techniques have been deployed to predict, diagnose, and treat chronic kidney disease (CKD). We systematically reviewed the ... ...

    Abstract Objectives: In this systematic review we aimed at assessing how artificial intelligence (AI), including machine learning (ML) techniques have been deployed to predict, diagnose, and treat chronic kidney disease (CKD). We systematically reviewed the available evidence on these innovative techniques to improve CKD diagnosis and patient management.
    Methods: We included English language studies retrieved from PubMed. The review is therefore to be classified as a "rapid review", since it includes one database only, and has language restrictions; the novelty and importance of the issue make missing relevant papers unlikely. We extracted 16 variables, including: main aim, studied population, data source, sample size, problem type (regression, classification), predictors used, and performance metrics. We followed the Preferred Reporting Items for Systematic Reviews (PRISMA) approach; all main steps were done in duplicate.
    Results: From a total of 648 studies initially retrieved, 68 articles met the inclusion criteria. Models, as reported by authors, performed well, but the reported metrics were not homogeneous across articles and therefore direct comparison was not feasible. The most common aim was prediction of prognosis, followed by diagnosis of CKD. Algorithm generalizability, and testing on diverse populations was rarely taken into account. Furthermore, the clinical evaluation and validation of the models/algorithms was perused; only a fraction of the included studies, 6 out of 68, were performed in a clinical context.
    Conclusions: Machine learning is a promising tool for the prediction of risk, diagnosis, and therapy management for CKD patients. Nonetheless, future work is needed to address the interpretability, generalizability, and fairness of the models to ensure the safe application of such technologies in routine clinical practice.
    MeSH term(s) Humans ; Renal Insufficiency, Chronic/diagnosis ; Renal Insufficiency, Chronic/therapy ; Artificial Intelligence ; Machine Learning
    Language English
    Publishing date 2023-02-14
    Publishing country Italy
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 1093991-x
    ISSN 1724-6059 ; 1120-3625 ; 1121-8428
    ISSN (online) 1724-6059
    ISSN 1120-3625 ; 1121-8428
    DOI 10.1007/s40620-023-01573-4
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    Zs.A 3369: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  6. Article: Biased, wrong and counterfeited evidences published during the COVID-19 pandemic, a systematic review of retracted COVID-19 papers.

    Capodici, Angelo / Salussolia, Aurelia / Sanmarchi, Francesco / Gori, Davide / Golinelli, Davide

    Quality & quantity

    2022  , Page(s) 1–33

    Abstract: In 2020 COVID-19 led to an unprecedented stream of papers being submitted to journals. Scientists and physicians all around the globe were in need for information about this new disease. In this climate, many articles were accepted after extremely fast ... ...

    Abstract In 2020 COVID-19 led to an unprecedented stream of papers being submitted to journals. Scientists and physicians all around the globe were in need for information about this new disease. In this climate, many articles were accepted after extremely fast peer-reviews to provide the scientific community with the latest discoveries and knowledge. Unfortunately, this also led to articles retraction due to authors' misconduct or errors in methodology and/or conclusions. The aim of this study is to investigate the number and characteristics of retracted papers, and to explore the main causes that led to retraction. We conducted a systematic review on retracted articles, using PubMed as data source. Our inclusion criteria were the following: English-language retracted articles that reported original data, results, opinions or hypotheses on COVID-19 and Sars-CoV-2. Twenty-seven retracted articles were identified, mainly reporting observational studies and opinion pieces. Many articles published during the first year of the pandemic have been retracted, mainly due to the authors' scientific misconduct. Duplications, plagiarism, frauds and absence of consent, were the main reasons for retractions. In modern medicine, researchers are required to publish frequently, and, especially during situations like the COVID-19 pandemic, when articles were rapidly published, gaps in peer-reviews system and in the path to scientific publication arose.
    Language English
    Publishing date 2022-11-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2003280-8
    ISSN 1573-7845 ; 0033-5177
    ISSN (online) 1573-7845
    ISSN 0033-5177
    DOI 10.1007/s11135-022-01587-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effects of Meditation for Surgeons: A Systematic Review of the Scientific Literature.

    Capodici, Angelo / Sanmarchi, Francesco / Golinelli, Davide

    Annals of surgery

    2022  Volume 275, Issue 6, Page(s) 1074–1077

    Abstract: Objective: The aim of this study was to systematically review the available evidence about meditation's effects on surgeons.: Summary background data: Meditation and Mindfulness are positively associated with better mental health and performance in ... ...

    Abstract Objective: The aim of this study was to systematically review the available evidence about meditation's effects on surgeons.
    Summary background data: Meditation and Mindfulness are positively associated with better mental health and performance in different types of workers and professionals needing high levels of concentration. Surgery is one of the activities with the greatest need for high concentration. Even though these findings are supported by a number of studies, evidence is lacking on the effect of meditation on surgeons.
    Methods: We searched PubMed for meditation-related studies that focused on surgeons. A total of 243 articles were retrieved and after screening 8 were selected for data extraction. Four of these studies were pilot studies; 3 of them were randomized controlled trials.
    Results: Meditation was found to be beneficial for surgeons. Benefits span from motor skills to mental and physiological improvements.
    Conclusion: More awareness and attention on this subject could improve surgeons' well-being as well as patients' outcomes.
    MeSH term(s) Attention ; Humans ; Meditation/psychology ; Mental Health ; Mindfulness ; Surgeons
    Language English
    Publishing date 2022-01-25
    Publishing country United States
    Document type Journal Article ; Systematic Review
    ZDB-ID 340-2
    ISSN 1528-1140 ; 0003-4932
    ISSN (online) 1528-1140
    ISSN 0003-4932
    DOI 10.1097/SLA.0000000000005398
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.35/1: Show issues Location:
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  8. Article ; Online: What services should be guaranteed in universal health-care systems?

    Adja, Kadjo Yves Cedric / Golinelli, Davide

    Journal of primary health care

    2020  Volume 12, Issue 3, Page(s) 193–194

    Abstract: COVID-19 pandemic highlighted the importance of public, universal and equal access health-care, and reminded us that challenges are always incumbent for health-care systems. Because accessible and universal health-care systems will be critical into the ... ...

    Abstract COVID-19 pandemic highlighted the importance of public, universal and equal access health-care, and reminded us that challenges are always incumbent for health-care systems. Because accessible and universal health-care systems will be critical into the future, it will be crucial to earmark adequate resources, fostering the financing of sectors that for many years have been neglected such as primary care and public health, and investments in new models of care and in health-related workforce.
    MeSH term(s) Betacoronavirus ; COVID-19 ; Climate Change ; Coronavirus Infections/epidemiology ; Health Services Accessibility/organization & administration ; Humans ; Italy/epidemiology ; Models, Organizational ; Pandemics ; Pneumonia, Viral/epidemiology ; Primary Health Care/organization & administration ; SARS-CoV-2 ; Universal Health Insurance/organization & administration
    Keywords covid19
    Language English
    Publishing date 2020-09-29
    Publishing country Australia
    Document type Journal Article
    ISSN 1172-6156
    ISSN (online) 1172-6156
    DOI 10.1071/HC20084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Trust in science, medicine and medical providers and its relations to vaccine beliefs: A latent class analysis.

    Sanmarchi, Francesco / Gibertoni, Dino / Golinelli, Davide / Gori, Davide / Fantini, Maria Pia / Scheier, Lawrence M

    Scandinavian journal of public health

    2022  Volume 51, Issue 5, Page(s) 727–734

    MeSH term(s) Humans ; Trust ; Latent Class Analysis ; Health Knowledge, Attitudes, Practice ; Vaccines ; Vaccination
    Chemical Substances Vaccines
    Language English
    Publishing date 2022-11-09
    Publishing country Sweden
    Document type Journal Article
    ZDB-ID 1475054-5
    ISSN 1651-1905 ; 1403-4948
    ISSN (online) 1651-1905
    ISSN 1403-4948
    DOI 10.1177/14034948221134187
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 884: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  10. Article ; Online: Editorial: Patterns of all-cause and cause-specific mortality during the SARS-CoV-2 pandemic: The impact of health policies and interventions.

    Golinelli, Davide / Sanmarchi, Francesco / Maietti, Elisa / Toscano, Fabrizio / Bucci, Andrea

    Frontiers in public health

    2022  Volume 10, Page(s) 1106067

    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19/epidemiology ; Pandemics ; Cause of Death ; Health Policy
    Language English
    Publishing date 2022-12-06
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.1106067
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