Study on the Effect of the Intake of a Calcium-bicarbonate Water on Cholesterol Levels
NCT ID: NCT07026266
Last Updated: 2025-11-25
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
ACTIVE_NOT_RECRUITING
NA
160 participants
INTERVENTIONAL
2025-09-17
2025-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Effects Of Consumption Of A Highly Mineralized Sodium Bicarbonated Water On Blood Lipid Profile
NCT01819636
Study of the Effects of a Mineralized Water Ingestion Upon Lipidic Absorption Mechanisms
NCT00742703
Meta-analysis of Low-calorie Sweetened Beverages and Cardiometabolic Outcomes
NCT04245826
Sulphate-bicarbonate-calcium Water, Body Weight and Gut Microbiota
NCT02154230
Effects of Mineral Water Consumption on Serum Lipid Parameters
NCT00812617
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
"Lete" group
Calcium-bicarbonate mineral water "Lete"
Water
Calcium-bicarbonate mineral water "Lete"
"Sorgesana" group
Oligomineral water "Sorgesana"
Water
Oligomineral water "Sorgesana"
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Water
Calcium-bicarbonate mineral water "Lete"
Water
Oligomineral water "Sorgesana"
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* age 18-60 years
* LDL-C values \> 116 mg/dl
* not already being treated with cholesterol-lowering medications (e.g. statins, ezetimibe, monoclonal antibodies, bempedoic acid) and/or supplements (e.g. fermented red rice, coenzyme Q, folic acid, berberine, vitamin E, polyphenols from olive oil, etc.)
Exclusion Criteria
* diabetes mellitus
* arterial hypertension
* gastrointestinal (e.g. gastro-duodenal ulcer, ulcerative colitis, diverticulosis of the colon, etc.), liver or renal diseases
* familial hypercholesterolemia
* treatment with drugs that could influence lipid metabolism (estrogen replacement hormone therapy, corticosteroid therapy, insulin therapy)
* Consumers of fortified foods that could influence lipid metabolism (containing n-3 fatty acids or phytosterols)
18 Years
60 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Società Generale delle Acque Minerali S.p.A.
INDUSTRY
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Alberto Margonato
Role: PRINCIPAL_INVESTIGATOR
Hospital San Raffaele - Milano (Italy)
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Hospital San Raffaele
Milan, Italy, Italy
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
LDLete
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.