<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE trials [
<!ELEMENT trials (trial+)>

<!ELEMENT trial (main,contacts,countries,criteria,health_condition_code,health_condition_keyword,intervention_code,
          intervention_keyword,primary_outcome,secondary_outcome,secondary_sponsor,secondary_ids,source_support,ethics_reviews)>

<!ELEMENT main (trial_id,utrn?,reg_name,date_registration,primary_sponsor,public_title,acronym?,scientific_title,scientific_acronym?,
          date_enrolment,type_enrolment,target_size,recruitment_status,url?,study_type,study_design,phase,hc_freetext?,i_freetext?,results_actual_enrolment,results_date_completed,results_url_link,results_summary,           results_date_posted,results_date_first_publication,results_baseline_char,results_participant_flow,results_adverse_events,results_outcome_measures,results_url_protocol,results_IPD_plan, results_IPD_description)>
<!ELEMENT trial_id (#PCDATA)>
<!ELEMENT utrn (#PCDATA)>
<!ELEMENT reg_name (#PCDATA)>
<!ELEMENT date_registration (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT primary_sponsor (#PCDATA)>
<!ELEMENT public_title (#PCDATA)>
<!ELEMENT acronym (#PCDATA)>
<!ELEMENT scientific_title (#PCDATA)>
<!ELEMENT scientific_acronym (#PCDATA)>
<!ELEMENT date_enrolment (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT type_enrolment (#PCDATA)>
<!ELEMENT target_size (#PCDATA)>
<!ELEMENT recruitment_status (#PCDATA)><!-- Pending,Recruiting,Suspended,Complete,Other -->
<!ELEMENT url (#PCDATA)>
<!ELEMENT study_type (#PCDATA)><!-- interventional,observational -->
<!ELEMENT study_design (#PCDATA)>
<!ELEMENT phase (#PCDATA)>
<!ELEMENT hc_freetext (#PCDATA)>
<!ELEMENT i_freetext (#PCDATA)>
<!ELEMENT results_actual_enrolment (#PCDATA)>
<!ELEMENT results_date_completed (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_url_link (#PCDATA)>
<!ELEMENT results_summary (#PCDATA)>
<!ELEMENT results_date_posted (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_date_first_publication (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_baseline_char (#PCDATA)>
<!ELEMENT results_participant_flow (#PCDATA)>
<!ELEMENT results_adverse_events (#PCDATA)>
<!ELEMENT results_outcome_measures (#PCDATA)>
<!ELEMENT results_url_protocol (#PCDATA)>
<!ELEMENT results_IPD_plan (#PCDATA)>
<!ELEMENT results_IPD_description (#PCDATA)>


<!ELEMENT contacts (contact+)>
<!ELEMENT contact (type,firstname,middlename,lastname,address,city,country1,zip,telephone,email,affiliation)>
<!ELEMENT type (#PCDATA)><!-- Public,Scientific -->
<!ELEMENT firstname (#PCDATA)>
<!ELEMENT middlename (#PCDATA)>
<!ELEMENT lastname (#PCDATA)>
<!ELEMENT address (#PCDATA)>
<!ELEMENT city (#PCDATA)>
<!ELEMENT country1 (#PCDATA)>
<!ELEMENT zip (#PCDATA)>
<!ELEMENT telephone (#PCDATA)>
<!ELEMENT email (#PCDATA)>
<!ELEMENT affiliation (#PCDATA)>

<!ELEMENT countries (country2+)>
<!ELEMENT country2 (#PCDATA)>

<!ELEMENT criteria (inclusion_criteria,agemin,agemax,gender,exclusion_criteria)>
<!ELEMENT inclusion_criteria (#PCDATA)>
<!ELEMENT agemin (#PCDATA)>
<!ELEMENT agemax (#PCDATA)>
<!ELEMENT gender (#PCDATA)>
<!ELEMENT exclusion_criteria (#PCDATA)>

<!ELEMENT health_condition_code (hc_code+)>
<!ELEMENT hc_code (#PCDATA)>

<!ELEMENT health_condition_keyword (hc_keyword+)>
<!ELEMENT hc_keyword (#PCDATA)>

<!ELEMENT intervention_code (i_code+)>
<!ELEMENT i_code (#PCDATA)>

<!ELEMENT intervention_keyword (i_keyword+)>
<!ELEMENT i_keyword (#PCDATA)>

<!ELEMENT primary_outcome (prim_outcome+)>
<!ELEMENT prim_outcome (#PCDATA)>

<!ELEMENT secondary_outcome (sec_outcome+)>
<!ELEMENT sec_outcome (#PCDATA)>

<!ELEMENT secondary_sponsor (sponsor_name+)>
<!ELEMENT sponsor_name (#PCDATA)>

<!ELEMENT secondary_ids (secondary_id+)>
<!ELEMENT secondary_id (sec_id,issuing_authority)>
<!ELEMENT sec_id (#PCDATA)>
<!ELEMENT issuing_authority (#PCDATA)>

<!ELEMENT source_support (source_name+)>
<!ELEMENT source_name (#PCDATA)>

<!ELEMENT ethics_reviews (ethics_review+)>
<!ELEMENT ethics_review (status,approval_date,contact_name,contact_address,contact_phone,contact_email)>
<!ELEMENT status (#PCDATA)><!-- Not approved,Approved,NA -->
<!ELEMENT approval_date (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT contact_name (#PCDATA)>
<!ELEMENT contact_address (#PCDATA)>
<!ELEMENT contact_phone (#PCDATA)>
<!ELEMENT contact_email (#PCDATA)>
]>
<trials>
  <trial>
    <main>
      <trial_id>IRCT20151128025274N6</trial_id>
      <utrn></utrn>
      <reg_name>IRCT</reg_name>
      <date_registration>2021-01-10</date_registration>
      <primary_sponsor>Ahvaz University of Medical Sciences</primary_sponsor>
      <public_title>The effects of rutin supplement on the brain of type  2 diabetes mellitus patients</public_title>
      <acronym></acronym>
      <scientific_title>The effects of rutin flavonoid supplement on brain white matter neural tracts volume in type 2 diabetes mellitus patients by MRI</scientific_title>
      <scientific_acronym></scientific_acronym>
      <date_enrolment>2021-01-20</date_enrolment>
      <type_enrolment>anticipated</type_enrolment>
      <target_size>26</target_size>
      <recruitment_status>Complete</recruitment_status>
      <url>https://irct.ir/trial/53283</url>
      <study_type>interventional</study_type>
      <study_design>Randomization: Randomized, Blinding: Double blinded, Placebo: Used, Assignment: Parallel, Purpose: Supportive, Randomization description: Assignment of patients in each of the study groups (supplement or placebo) will be done by "Random allocation software" using classified randomized blocking method (block size: 4). In addition, in order to reduce selection bias error, allocation concealment will be used. This will be done by assigning unit codes (two codes A and B) to each patient's tablets. In this way, 26 patients will be randomly allocated to placebo (n = 13) or intervention (n = 13) groups. In fact, each patient will receive a can containing code A or B, and eventually 13 patients will receive cans containing code A and 13 patients will receive cans containing code B, Blinding description: In the present study, the doctor, researcher, and patients will be blinded to the study groups. Before starting the study, the cans containing the respective tablets will be coded by a person other than the researcher (this person will not aware of the details of the research) to A and B, so that the type of received tablets in each group will be blinded for researcher. Also, placebo and supplement tablets will be similar in terms of color, shape, size and taste. In addition, cans containing the supplement and placebo will be quite similar.</study_design>
      <phase>2</phase>
      <hc_freetext>Type 2 diabetes mellitus.</hc_freetext>
      <i_freetext>Intervention 1: Intervention group: Every day, one tablet of 1 g rutin (containing 500 mg of pure rutin and 500 mg other compounds include di-calcium phosphate, microcrystalline cellulose, plant cellulose, stearic acid, magnesium stearic, silica, glycerin), made by the Solgar company, USA, after meals for 90 days. Intervention 2: Control group: One tablet of 1 g placebo/day (containing compound similar to supplement except rutin), made by the Faculty of Pharmacy of Ahvaz Jundishapur University of Medical Sciences, in terms of shape, color, size similar to supplement, after meals for 90 days.</i_freetext>
      <results_actual_enrolment></results_actual_enrolment>
      <results_date_completed></results_date_completed>
      <results_url_link></results_url_link>
      <results_summary></results_summary>
      <results_date_posted></results_date_posted>
      <results_date_first_publication></results_date_first_publication>
      <results_baseline_char></results_baseline_char>
      <results_participant_flow></results_participant_flow>
      <results_adverse_events></results_adverse_events>
      <results_outcome_measures></results_outcome_measures>
      <results_url_protocol></results_url_protocol>
      <results_IPD_plan>No - There is not a plan to make this available</results_IPD_plan>
      <results_IPD_description>Justification or reason for not sharing IPD is The person's information will be confidential and the results will be as collective statistics</results_IPD_description>
    </main>
    <contacts>
      <contact>
        <type>public</type>
        <firstname>Hadi Bazyar</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Golestan St., Ahvaz</address>
        <city>Ahvaz</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>7853167465</zip>
        <telephone>+98 61 3333 0747</telephone>
        <email>hadibazyar2015@gmail.com</email>
        <affiliation>Ahvaz University of Medical Sciences</affiliation>
      </contact>
      <contact>
        <type>scientific</type>
        <firstname>Ahmad Zare Javid</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Department of Nutrition, School of Allied Medical Sciences, Jundishapur University of Medical Sciences, Golestan St., Ahvaz</address>
        <city>Ahvaz</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>6163764754</zip>
        <telephone>+98 74 3333 1257</telephone>
        <email>ahmaddjavid@gmail.com</email>
        <affiliation>Ahvaz University of Medical Sciences</affiliation>
      </contact>
    </contacts>
    <countries>
      <country2>Iran (Islamic Republic of)</country2>
    </countries>
    <criteria>
      <inclusion_criteria>Willingness to participate in the study
People between 20 to 60 years old in both sexes,
Over at least 2 years from time of diagnosis of  type 2 diabetes mellitus
Body mass index (BMI) less than 35 (BMI ≤ 35)
Glycosylated hemoglobin (HbA1c) between 6.5 to 11%</inclusion_criteria>
      <agemin>20 years</agemin>
      <agemax>60 years</agemax>
      <gender>Both</gender>
      <exclusion_criteria>Developing complications from diabetes such as renal failure
Diabetic patients taking insulin
Thyroid disease
Anemia
Pregnancy, lactation
Smokers
Use of other dietary supplements, probiotics and anti-inflammatory drugs
Use of any antioxidant supplements in the last 3 months
Use of immunosuppressive drugs
Following of special diets other than the diet specific to diabetic patients,
History of brain surgery and brain tumors.</exclusion_criteria>
    </criteria>
    <health_condition_code>
      <hc_code>E11</hc_code>
    </health_condition_code>
    <health_condition_keyword>
      <hc_keyword>Type 2 diabetes mellitus</hc_keyword>
    </health_condition_keyword>
    <intervention_code>
      <i_code>Treatment - Other</i_code>
      <i_code>Placebo</i_code>
    </intervention_code>
    <intervention_keyword>
      <i_keyword>Intervention group: Every day, one tablet of 1 g rutin (containing 500 mg of pure rutin and 500 mg other compounds include di-calcium phosphate, microcrystalline cellulose, plant cellulose, stearic acid, magnesium stearic, silica, glycerin), made by the Solgar company, USA, after meals for 90 days.</i_keyword>
      <i_keyword>Control group: One tablet of 1 g placebo/day (containing compound similar to supplement except rutin), made by the Faculty of Pharmacy of Ahvaz Jundishapur University of Medical Sciences, in terms of shape, color, size similar to supplement, after meals for 90 days.</i_keyword>
    </intervention_keyword>
    <primary_outcome>
      <prim_outcome>Fractional anisotropy (FA). Timepoint: Before and after the intervention. Method of measurement: Using Diffusion Tensor Imaging (DTI) and analysis with functional magnetic resonance imaging of the brain software library (FSL) software.</prim_outcome>
      <prim_outcome>MD: Mean diffusivity. Timepoint: Before and after the intervention. Method of measurement: Using Diffusion Tensor Imaging (DTI) and analysis with functional magnetic resonance imaging of the brain software library (FSL) software.</prim_outcome>
      <prim_outcome>RD: Radial diffusivity. Timepoint: Before and after the intervention. Method of measurement: Using Diffusion Tensor Imaging (DTI) and analysis with functional magnetic resonance imaging of the brain software library (FSL) software.</prim_outcome>
      <prim_outcome>AD: Axial diffusivity. Timepoint: Before and after the intervention. Method of measurement: Using Diffusion Tensor Imaging (DTI) and analysis with functional magnetic resonance imaging of the brain software library (FSL) software.</prim_outcome>
      <prim_outcome>The volume of white matter of the throwing, radial and communication fibers of the brain. Timepoint: Before and after the intervention. Method of measurement: Using Diffusion Tensor Imaging (DTI) and analysis with functional magnetic resonance imaging of the brain software library (FSL) software.</prim_outcome>
      <prim_outcome>The volume of gray matter of the brain. Timepoint: Before and after the intervention. Method of measurement: Using Diffusion Tensor Imaging (DTI) and analysis with functional magnetic resonance imaging of the brain software library (FSL) software.</prim_outcome>
    </primary_outcome>
    <secondary_outcome>
      <sec_outcome></sec_outcome>
    </secondary_outcome>
    <secondary_sponsor>
      <sponsor_name></sponsor_name>
    </secondary_sponsor>
    <secondary_ids>
      <secondary_id>
        <sec_id></sec_id>
        <issuing_authority></issuing_authority>
      </secondary_id>
    </secondary_ids>
    <source_support>
      <source_name>Ahvaz University of Medical Sciences</source_name>
    </source_support>
    <ethics_reviews>
      <ethics_review>
        <status>Approved</status>
        <approval_date>2020-12-26</approval_date>
        <contact_name>The Ethics Committee of Ahvaz Jundishapur University of Medical Sciences</contact_name>
        <contact_address>Vice Chancellor for Research and Technology, Ahvaz Jundishapur University of Medical Sciences, Golestan street, Ahvaz, Khosetan,Iran Ahvaz Khouzestan Iran (Islamic Republic of)</contact_address>
        <contact_phone></contact_phone>
        <contact_email></contact_email>
      </ethics_review>
    </ethics_reviews>
  </trial>
</trials>
