- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05925699
National Database of the Virtual Institute of Cerebrovascular Diseases (BIG-MENTI)
The primary aim of the study is to develop a national registry of cerebrovascular diseases in order to define the subtypes of these diseases associated with a worse prognosis. Secondly, the study aims to find clinical, radiological, and biological markers capable tof predicting the outcome of cerebrovascular diseases and the onset of complications related to therapeutic procedures, and to calculate predictive prognostic scores composed of multiple variables.
Each participating center will collect clinical, radiological, and biological data from the medical records of the study participants. Patients included in the study will not undergo any additional medical procedures to those of normal clinical practice.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Paolo Calabresi, Prof, MD
- Phone Number: +390630154459
- Email: paolo.calabresi@policlinicogemelli.it
Study Contact Backup
- Name: Irene Scala
- Phone Number: +393519746393
- Email: irene.scala01@icatt.it
Study Locations
-
-
Lazio
-
Rome, Lazio, Italy, 00168
- Fondazione Policlinico Universitario A. Gemelli IRCCS
-
Contact:
- Paolo Calabresi, Prof, MD
- Phone Number: +390630154459
- Email: paolo.calabresi@policlinicogemelli.it
-
Contact:
- Irene Scala, MD
- Phone Number: +393519746393
- Email: irene.scala01@icatt.it
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Diagnosis of cerebrovascular pathology defined according to the NINDS special report of 1990 as "all disorders in which there is an area of the brain transiently or permanently affected by ischemia or bleeding and/or in which one or more blood vessels of the brain are mainly altered by a pathological process", falling within the following codes of the International Classification of Diseases, 9th revision (ICD-9): ICD-9 430-438;
- Informed consent provided by the patient or his legal representative in the case of mental incapacity or by the parents/guardians in the case of minors.
Exclusion Criteria:
- The patient, his legal representative in the case of mental incapacity or his parents/guardians in the case of minors clearly state their will to leave the study;
- Onset of cerebrovascular disease before January 1, 2016.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
All patients with new-onset cerebrovascular disease from January 1, 2016 to July 1, 2049
|
Collection of clinical, radiological, and biological data from patients' medical records
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Identification of subtypes of each cerebrovascular disease (ICD-9 430-438) associated with poor prognosis.
Time Frame: July 1, 2023 - July 1, 2053
|
Identification and definition of the various subtypes of each cerebrovascular disease (International Classification of Diseases, 9th revision (ICD-9): ICD-9 430-438) associated with poor prognosis.
|
July 1, 2023 - July 1, 2053
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Identification of clinical variables of each cerebrovascular disease correlated with its prognosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the clinical variables of each cerebrovascular disease correlated with its prognosis
|
July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease correlated with its prognosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the radiological variables of each cerebrovascular disease correlated with its prognosis
|
July 1, 2023 - July 1, 2053
|
Identification of biomarkers of each cerebrovascular disease correlated with its prognosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the biomarkers of each cerebrovascular disease correlated with its prognosis
|
July 1, 2023 - July 1, 2053
|
Identification of neurophysiological variables of each cerebrovascular disease correlated with its prognosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the neurophysiological variables of each cerebrovascular disease correlated with its prognosis
|
July 1, 2023 - July 1, 2053
|
Identification of prognostic scores for each cerebrovascular disease
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of prognostic scores for each cerebrovascular disease, based on the combination of clinical, radiological, neurophysiological and biomarker variables
|
July 1, 2023 - July 1, 2053
|
Identification of clinical variables of each cerebrovascular disease helping in differential diagnosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of clinical variables of each cerebrovascular disease that help the clinician in early differential diagnosis
|
July 1, 2023 - July 1, 2053
|
Identification of clinical variables of each cerebrovascular disease capable of predicting the development of complications
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of clinical variables of each cerebrovascular disease capable of predicting the development of spontaneous complications or complications related to therapeutic procedures
|
July 1, 2023 - July 1, 2053
|
Identification of clinical variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of clinical variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies
|
July 1, 2023 - July 1, 2053
|
Identification of the clinical variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the clinical variables of each cerebrovascular disease useful for the purpose of personalizing the rehabilitation treatment and able to predict the good functional outcome following the same rehabilitation treatments
|
July 1, 2023 - July 1, 2053
|
Identification of neurophysiological variables of each cerebrovascular disease helping in differential diagnosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of neurophysiological variables and biomarkers of each cerebrovascular disease helping in differential diagnosis
|
July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease helping in differential diagnosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease helping in differential diagnosis
|
July 1, 2023 - July 1, 2053
|
Identification of neurophysiological variables of each cerebrovascular disease capable of predicting the development of complications
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of neurophysiological variables of each cerebrovascular disease capable of predicting the development of complications
|
July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease capable of predicting the development of complications
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease capable of predicting the development of complications
|
July 1, 2023 - July 1, 2053
|
Identification of biomarkers of each cerebrovascular disease helping in differential diagnosis
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of biomarkers of each cerebrovascular disease helping in differential diagnosis
|
July 1, 2023 - July 1, 2053
|
Identification of biomarkers of each cerebrovascular disease capable of predicting the development of complications
Time Frame: July 1, 2023 - July 1, 2053
|
dentification of biomarkers of each cerebrovascular disease capable of predicting the development of complications
|
July 1, 2023 - July 1, 2053
|
Identification of biomarkers of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of biomarkers of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies
|
July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of radiological variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies
|
July 1, 2023 - July 1, 2053
|
Identification of the radiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the radiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
|
July 1, 2023 - July 1, 2053
|
Identification of the neurophysiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the neurophysiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
|
July 1, 2023 - July 1, 2053
|
Identification of the biomarkers of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
Time Frame: July 1, 2023 - July 1, 2053
|
Identification of the biomarkers of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome
|
July 1, 2023 - July 1, 2053
|
Collaborators and Investigators
Collaborators
Publications and helpful links
General Publications
- GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021 Oct;20(10):795-820. doi: 10.1016/S1474-4422(21)00252-0. Epub 2021 Sep 3.
- Special report from the National Institute of Neurological Disorders and Stroke. Classification of cerebrovascular diseases III. Stroke. 1990 Apr;21(4):637-76. doi: 10.1161/01.str.21.4.637. No abstract available.
- Timmis A, Vardas P, Townsend N, Torbica A, Katus H, De Smedt D, Gale CP, Maggioni AP, Petersen SE, Huculeci R, Kazakiewicz D, de Benito Rubio V, Ignatiuk B, Raisi-Estabragh Z, Pawlak A, Karagiannidis E, Treskes R, Gaita D, Beltrame JF, McConnachie A, Bardinet I, Graham I, Flather M, Elliott P, Mossialos EA, Weidinger F, Achenbach S; Atlas Writing Group, European Society of Cardiology. European Society of Cardiology: cardiovascular disease statistics 2021. Eur Heart J. 2022 Feb 22;43(8):716-799. doi: 10.1093/eurheartj/ehab892. Erratum In: Eur Heart J. 2022 Feb 04;:
- Sacco S, Stracci F, Cerone D, Ricci S, Carolei A. Epidemiology of stroke in Italy. Int J Stroke. 2011 Jun;6(3):219-27. doi: 10.1111/j.1747-4949.2011.00594.x.
- Ozpinar A, Mendez G, Abla AA. Epidemiology, genetics, pathophysiology, and prognostic classifications of cerebral arteriovenous malformations. Handb Clin Neurol. 2017;143:5-13. doi: 10.1016/B978-0-444-63640-9.00001-1.
- Ferro JM, Aguiar de Sousa D. Cerebral Venous Thrombosis: an Update. Curr Neurol Neurosci Rep. 2019 Aug 23;19(10):74. doi: 10.1007/s11910-019-0988-x.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 5832
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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