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Article ; Online: Long-term effects of a combination of isoflavones, agnus castus and magnolia extracts on climacteric symptoms and cardiometabolic risk profile in postmenopausal women.

Maffei, Silvia / Franchini, Michela / Fortunato, Loredana / Guiducci, Letizia

Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology

2022 Volume 38, Issue 4, Page(s) 339–344

Abstract: Objective: To evaluate the long-term effects of a combination of isoflavones, agnus castus and magnolia extracts (combined isoflavone compound [CIC]) on climacteric symptoms and cardiometabolic risk in symptomatic postmenopausal women.: Methods: This ...

Abstract	Objective: To evaluate the long-term effects of a combination of isoflavones, agnus castus and magnolia extracts (combined isoflavone compound [CIC]) on climacteric symptoms and cardiometabolic risk in symptomatic postmenopausal women. Methods: This interventional, prospective study evaluated climacteric symptoms, mood and sleep disorders using the 21-item Greene Climacteric Scale (GCS) and 7-item Insomnia Severity Index (ISI) questionnaires; and cardiovascular, metabolic and thrombotic risk markers at baseline (T0) and after 12 months of CIC treatment (T1). Results: In healthy postmenopausal women ( Conclusions: Long-term CIC therapy improved vasomotor symptoms, mood disorders, sleep disorders, hemodynamic measurements and cardiometabolic risk markers in healthy postmenopausal women. Clinicaltrials.gov identifier: NCT03699150.
MeSH term(s)	Cardiometabolic Risk Factors ; Cardiovascular Diseases/prevention & control ; Climacteric/drug effects ; Climacteric/physiology ; Drug Therapy, Combination ; Female ; Humans ; Isoflavones/pharmacology ; Isoflavones/therapeutic use ; Magnolia ; Middle Aged ; Phytotherapy ; Plant Extracts/pharmacology ; Plant Extracts/therapeutic use ; Postmenopause/drug effects ; Postmenopause/physiology ; Prospective Studies ; Treatment Outcome ; Vitex
Chemical Substances	Isoflavones ; Plant Extracts
Language	English
Publishing date	2022-03-08
Publishing country	England
Document type	Clinical Study ; Journal Article
ZDB-ID	639237-4
ISSN	1473-0766 ; 0951-3590
ISSN (online)	1473-0766
ISSN	0951-3590
DOI	10.1080/09513590.2022.2047171
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Article ; Online: Participation in Low Back Pain Management: It Is Time for the To-Be Scenarios in Digital Public Health.

Franchini, Michela / Salvatori, Massimiliano / Denoth, Francesca / Molinaro, Sabrina / Pieroni, Stefania

International journal of environmental research and public health

2022 Volume 19, Issue 13

Abstract: Low back pain (LBP) carries a high risk of chronicization and disability, greatly impacting the overall demand for care and costs, and its treatment is at risk of scarce adherence. This work introduces a new scenario based on the use of a mobile health ... ...

Abstract	Low back pain (LBP) carries a high risk of chronicization and disability, greatly impacting the overall demand for care and costs, and its treatment is at risk of scarce adherence. This work introduces a new scenario based on the use of a mobile health tool, the Dress-KINESIS, to support the traditional rehabilitation approach. The tool proposes targeted self-manageable exercise plans for improving pain and disability, but it also monitors their efficacy. Since LBP prevention is the key strategy, the tool also collects real-patient syndromic information, shares valid educational messages and fosters self-determined motivation to exercise. Our analysis is based on a comparison of the performance of the traditional rehabilitation process for non-specific LBP patients and some different scenarios, designed by including the Dress-KINESIS's support in the original process. The results of the simulations show that the integrated approach leads to a better capacity for taking on patients while maintaining the same physiotherapists' effort and costs, and it decreases healthcare costs during the two years following LBP onset. These findings suggest that the healthcare system should shift the paradigm towards citizens' participation and the digital support, with the aim of improving its efficiency and citizens' quality of life.
MeSH term(s)	Humans ; Low Back Pain/rehabilitation ; Physical Therapists ; Public Health ; Quality of Life ; Telemedicine
Language	English
Publishing date	2022-06-25
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19137805
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Article ; Online: Participation in Low Back Pain Management

Michela Franchini / Massimiliano Salvatori / Francesca Denoth / Sabrina Molinaro / Stefania Pieroni

International Journal of Environmental Research and Public Health, Vol 19, Iss 7805, p

It Is Time for the To-Be Scenarios in Digital Public Health

2022 Volume 7805

Abstract	Low back pain (LBP) carries a high risk of chronicization and disability, greatly impacting the overall demand for care and costs, and its treatment is at risk of scarce adherence. This work introduces a new scenario based on the use of a mobile health tool, the Dress-KINESIS, to support the traditional rehabilitation approach. The tool proposes targeted self-manageable exercise plans for improving pain and disability, but it also monitors their efficacy. Since LBP prevention is the key strategy, the tool also collects real-patient syndromic information, shares valid educational messages and fosters self-determined motivation to exercise. Our analysis is based on a comparison of the performance of the traditional rehabilitation process for non-specific LBP patients and some different scenarios, designed by including the Dress-KINESIS’s support in the original process. The results of the simulations show that the integrated approach leads to a better capacity for taking on patients while maintaining the same physiotherapists’ effort and costs, and it decreases healthcare costs during the two years following LBP onset. These findings suggest that the healthcare system should shift the paradigm towards citizens’ participation and the digital support, with the aim of improving its efficiency and citizens’ quality of life.
Keywords	participation ; digital health ; Dress-KINESIS ; scenario method ; Arena tool ; low back pain ; Medicine ; R
Subject code	360
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Facing the National Recovery and Resilience Plan: Sources of Data, Indicators, and Participatory Strategies in Healthcare and Social Fields.

Franchini, Michela / Molinaro, Sabrina / Caiolfa, Michelangelo / Salvatori, Massimiliano / Pieroni, Stefania

International journal of environmental research and public health

2021 Volume 18, Issue 19

Abstract: Innovation in governance and services should be the target of the Italian National Recovery and Resilience Plan. Monitoring processes, impacts, and outcomes requires a system of new indicators that are practical to collect. Secondary data sources, their ... ...

Abstract	Innovation in governance and services should be the target of the Italian National Recovery and Resilience Plan. Monitoring processes, impacts, and outcomes requires a system of new indicators that are practical to collect. Secondary data sources, their availability, and their information potential should be evaluated, and primary sources should be implemented to supplement traditional disease surveillance. This work highlights the most relevant aspects for bridging the mismatching between complex community needs and current health/social supply and how those aspects could be faced. As a result, we propose a structured multi-phases process for setting the design and functionalities of a cooperative information system, built on the integration between secondary and primary data for informing policies about chronic low back pain (CLBP), a widely recognized determinant of disability and significant economic burden. In particular, we propose the Dress-KINESIS, a tool for improving community capacity development and participation that allows one to freely collect big health and social data and link it to existing secondary data. The system also may be able to monitor how the resources are distributed across different care sectors and suggest how to improve efficiency based on the patient's CLBP risk stratification. Moreover, it is potentially customizable in other fields of health.
MeSH term(s)	Delivery of Health Care ; Health Facilities ; Humans
Language	English
Publishing date	2021-10-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph181910457
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Article ; Online: Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features.

Del Corso, Giulio / Germanese, Danila / Caudai, Claudia / Anastasi, Giada / Belli, Paolo / Formica, Alessia / Nicolucci, Alberto / Palma, Simone / Pascali, Maria Antonietta / Pieroni, Stefania / Trombadori, Charlotte / Colantonio, Sara / Franchini, Michela / Molinaro, Sabrina

Journal of imaging informatics in medicine

2024

Abstract: Breast cancer holds the highest diagnosis rate among female tumors and is the leading cause of death among women. Quantitative analysis of radiological images shows the potential to address several medical challenges, including the early detection and ... ...

Abstract	Breast cancer holds the highest diagnosis rate among female tumors and is the leading cause of death among women. Quantitative analysis of radiological images shows the potential to address several medical challenges, including the early detection and classification of breast tumors. In the P.I.N.K study, 66 women were enrolled. Their paired Automated Breast Volume Scanner (ABVS) and Digital Breast Tomosynthesis (DBT) images, annotated with cancerous lesions, populated the first ABVS+DBT dataset. This enabled not only a radiomic analysis for the malignant vs. benign breast cancer classification, but also the comparison of the two modalities. For this purpose, the models were trained using a leave-one-out nested cross-validation strategy combined with a proper threshold selection approach. This approach provides statistically significant results even with medium-sized data sets. Additionally it provides distributional variables of importance, thus identifying the most informative radiomic features. The analysis proved the predictive capacity of radiomic models even using a reduced number of features. Indeed, from tomography we achieved AUC-ROC
Language	English
Publishing date	2024-03-13
Publishing country	Switzerland
Document type	Journal Article
ISSN	2948-2933
ISSN (online)	2948-2933
DOI	10.1007/s10278-024-01064-3
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Article ; Online: Facing the National Recovery and Resilience Plan

Michela Franchini / Sabrina Molinaro / Michelangelo Caiolfa / Massimiliano Salvatori / Stefania Pieroni

International Journal of Environmental Research and Public Health, Vol 18, Iss 10457, p

Sources of Data, Indicators, and Participatory Strategies in Healthcare and Social Fields

2021 Volume 10457

Abstract	Innovation in governance and services should be the target of the Italian National Recovery and Resilience Plan. Monitoring processes, impacts, and outcomes requires a system of new indicators that are practical to collect. Secondary data sources, their availability, and their information potential should be evaluated, and primary sources should be implemented to supplement traditional disease surveillance. This work highlights the most relevant aspects for bridging the mismatching between complex community needs and current health/social supply and how those aspects could be faced. As a result, we propose a structured multi-phases process for setting the design and functionalities of a cooperative information system, built on the integration between secondary and primary data for informing policies about chronic low back pain (CLBP), a widely recognized determinant of disability and significant economic burden. In particular, we propose the Dress-KINESIS, a tool for improving community capacity development and participation that allows one to freely collect big health and social data and link it to existing secondary data. The system also may be able to monitor how the resources are distributed across different care sectors and suggest how to improve efficiency based on the patient’s CLBP risk stratification. Moreover, it is potentially customizable in other fields of health.
Keywords	health promotion ; community-engaged research ; community-based participatory research ; community empowerment ; NRRP ; participatory tools ; Medicine ; R
Subject code	360
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of the replacement of the o-methoxyphenyl moiety with nitrogen-containing aromatic rings within N-phenyl-piperazine and phenoxy-ethylamine-based 1,3-dioxo/oxathio/dithiolanes as α1 and 5-HT1A receptor ligands

Claudia Sorbi / Silvia Franchini / Michela Buccioni / Antonio Cilia / Lorenza Pirona / Livio Brasili

Results in Chemistry, Vol 4, Iss , Pp 100425- (2022)

2022

Abstract: In the present work, nineteen analogues of 1-[(2,2-Diphenyl-1,3-dioxolan-4-yl)methyl]-4-(2-methoxyphenyl)piperazine 5 and N-[2-(2-Methoxyphenoxy)ethyl]-2,2-diphenyl-1,3-dioxolane-4-methanamine 18 were synthesized. The compounds were tested for binding ... ...

Abstract	In the present work, nineteen analogues of 1-[(2,2-Diphenyl-1,3-dioxolan-4-yl)methyl]-4-(2-methoxyphenyl)piperazine 5 and N-[2-(2-Methoxyphenoxy)ethyl]-2,2-diphenyl-1,3-dioxolane-4-methanamine 18 were synthesized. The compounds were tested for binding affinity at 5-HT1AR and α1-AR subtypes. They were also tested using functional assays as α1-AR antagonists and the most promising were tested for functional activity at 5-HT1AR, where they were shown to behave as agonists. The results highlight that the replacement of the 1,3-dioxolane ring with a 1,3-oxathiolane or a 1,3-dithiolane moiety leads to an overall reduction in in-vitro affinity at the α1-AR, while affinity, potency and efficacy were strongly enhanced at the 5-HT1A receptor. Overall, the nitrogen-containing aromatic moieties scarcely affect the affinity at the 5-HT1A receptor, while reducing potency and increasing efficacy. The oxidation of the sulphur atom in the 1,3-oxathiolane to give sulfoxides and solfones has a negative effect on affinity and potency at both receptor systems. Regardless of the effect on the other parameters, selectivity toward 5-HT1AR with respect to the α1-AR is often favoured, but never the contrary. The most striking result is the inversion of selectivity. In fact, while the lead 5 is 100-fold selective for α1-AR, the new derivatives, although to differing degrees, are selective for 5-HT1AR.
Keywords	Piperazine ; Aryloxyethylamine ; α1-Receptor ; 5-HT1A receptor ; Chemistry ; QD1-999
Subject code	540
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Inherited atherogenic dyslipidemias: are they correctly reported?

Sampietro, Tiziana / Pieroni, Srefania / Molinaro, Sabrina / Sbrana, Francesco / Dal Pino, Beatrice / Bigazzi, Federico / Ruscica, Massimiliano / Sirtori, Cesare R / Franchini, Michela

European journal of preventive cardiology

2021 Volume 28, Issue 8, Page(s) e1–e3

MeSH term(s)	Atherosclerosis/epidemiology ; Atherosclerosis/prevention & control ; Dyslipidemias/diagnosis ; Dyslipidemias/epidemiology ; Humans ; Risk Factors
Language	English
Publishing date	2021-02-18
Publishing country	England
Document type	Letter
ZDB-ID	2626011-6
ISSN	2047-4881 ; 2047-4873
ISSN (online)	2047-4881
ISSN	2047-4873
DOI	10.1177/2047487320930308
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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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Article: The

Franchini, Michela / Pieroni, Stefania / Passino, Claudio / Emdin, Michele / Molinaro, Sabrina

Frontiers in public health

2018 Volume 6, Page(s) 6

Abstract: Modern medicine remains dependent on the accurate evaluation of a patient's health state, recognizing that disease is a process that evolves over time and interacts with many factors unique to that patient. ... ...

Abstract	Modern medicine remains dependent on the accurate evaluation of a patient's health state, recognizing that disease is a process that evolves over time and interacts with many factors unique to that patient. The
Language	English
Publishing date	2018-01-29
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711781-9
ISSN	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2018.00006
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Article: The Individual Profile of Pathology as a New Model for Filling Knowledge Gaps in Health Policies for Chronicity.

Franchini, Michela / Pieroni, Stefania / Cutilli, Arianna / Caiolfa, Michelangelo / Naldoni, Simone / Molinaro, Sabrina

Frontiers in medicine

2019 Volume 6, Page(s) 130

Abstract: Chronicity is the real challenge for public healthcare systems especially in relation to multi-morbidity. The growing demand for multidisciplinary care could be addressed by implementing integrated programs in the primary care field and facilitating ... ...

Abstract	Chronicity is the real challenge for public healthcare systems especially in relation to multi-morbidity. The growing demand for multidisciplinary care could be addressed by implementing integrated programs in the primary care field and facilitating other specific care only as necessary. Some models of long-term management have been suggested since the 2000s. The objective here is to propose the Individual Profile of Pathology (IPP) model as the preliminary step for identifying groups of population which shares health and social needs and for optimizing the management of chronicity, referring to the Kaiser Permanente Pyramid paradigm. The IPP model is able to inform a data feedback system for improving performances at the patient's individual level and for addressing and evaluating health policies. The stratification of needs comes out of the IPP algorithm. It works on patient information databases based on the logic of disease as a process that evolves over time and interacts with many factors unique to that patient. Individual patients' data used in this work refers to 138,859 subjects from a large area in Italy and concerns hospitalization, outpatient drug prescriptions, access to the emergency room and outpatient prescriptions for visits, laboratory/imaging tests, and medications. The IPP model allows to identify for each subject a complexity level, taking into account the weight of groups of pathologies, both in terms of absorption of resources and the level of severity. Costs and healthcare performances have been analyzed taking into account the complexity levels. The IPP model can be an efficient methodology for (a) improving performances at the patient's individual level (b) allowing standardized comparison among different geographical areas (c) supporting large population-focused surveillance programs and (d) providing knowledge to identify and fill the gaps in public health policies. Currently, the IPP algorithm is limited by data availability, restricted to the administrative databases processing, but the theoretical model is able to include more data dimensions providing the potential to identify homogeneous groups of subjects with a higher level of precision.
Language	English
Publishing date	2019-06-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2775999-4
ISSN	2296-858X
ISSN	2296-858X
DOI	10.3389/fmed.2019.00130
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