<?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>IRCT20230820059190N1</trial_id>
      <utrn></utrn>
      <reg_name>IRCT</reg_name>
      <date_registration>2023-09-02</date_registration>
      <primary_sponsor>Yasouj University of Medical Sciences</primary_sponsor>
      <public_title>Effects of black garlic on weight loss in obese people</public_title>
      <acronym></acronym>
      <scientific_title>The effect of black garlic consumption on weight, blood lipid profile/ index and body fat percentage of overweight people receiving low calorie diet- Clinical trial</scientific_title>
      <scientific_acronym></scientific_acronym>
      <date_enrolment>2023-09-23</date_enrolment>
      <type_enrolment>anticipated</type_enrolment>
      <target_size>40</target_size>
      <recruitment_status>Complete</recruitment_status>
      <url>https://irct.ir/trial/72181</url>
      <study_type>interventional</study_type>
      <study_design>Randomization: Randomized, Blinding: Single blinded, Placebo: Not used, Assignment: Parallel, Purpose: Treatment, Randomization description: In case of agreement to participation in the project, the cases will be randomly assigned to one of the two intervention groups (receiving black garlic) and the control group(not receiving black garlic). The randomization method is to generate 20 random numbers from 1 to 40 by Excel software to be assigned to the intervention group and the remaining 20 numbers to be assigned to the control group. Cases will be numbered based on the order of referring and each will be assigned to the relevant group based on the related number. Both groups will be given a proportionate low-calorie diet, and the intervention group will be given 10 grams of black garlic daily in addition to the low-calorie diet. Body weight, body fat percentage and serum lipids (triglycerides, total cholesterol, HDL cholesterol and LDL cholesterol) are measured and compared at the beginning of the intervention and after 8 weeks of intervention, Blinding description: The project manager and the statistician will not be aware of the given treatment.</study_design>
      <phase>2-3</phase>
      <hc_freetext>obesity.</hc_freetext>
      <i_freetext>Intervention 1: Intervention group: The intervention group of 20 people will receive 10 grams of black garlic daily under a low-calorie diet for 8 weeks. Intervention 2: Control group:  The control group will be 20 people who will be on a low-calorie diet without consuming black garlic garlic product.</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>Yes - There is a plan to make this available</results_IPD_plan>
      <results_IPD_description>What will be shared:
Data on primary variables will be shareable after de-identifying individuals

When:
Just after publishing the paper up to one year after the results are published

To whom:
The data will only be available to researchers working in academic and scientific institutions and also health related sections

Conditions:
Data will be allowed to be reanalyzed for use in secondary studies such as meta-analyses

Where to obtain:
Jan Mohammad Malekzadeh. Yasouj University of Medical Sciences. Faculty of Health and Nutrition
Email: malekjmd@yahoo.com

How to obtain:
After receiving approval from Yasouj University of Medical Sciences (one week to one month), the data will be sent to the applicant

Comments:
</results_IPD_description>
    </main>
    <contacts>
      <contact>
        <type>public</type>
        <firstname>Gita Shafiei</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>15 Imam Hossein Square, Golestan, Faculty of Health and Nutrition</address>
        <city>Yasuj</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>7591875114</zip>
        <telephone>+98 74 3322 5519</telephone>
        <email>shafiei.g71@gmail.com</email>
        <affiliation>Yasouj University of Medical Sciences</affiliation>
      </contact>
      <contact>
        <type>scientific</type>
        <firstname>Jan Mohammad Malekzadeh</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Imam Hossein Square - Golestan 15, Faculty of Health and Nutrition</address>
        <city>Yasuj</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>7591875114</zip>
        <telephone>+98 74 3322 5519</telephone>
        <email>malekjmd@yahoo.com</email>
        <affiliation>Yasouj University of Medical Sciences</affiliation>
      </contact>
    </contacts>
    <countries>
      <country2>Iran (Islamic Republic of)</country2>
    </countries>
    <criteria>
      <inclusion_criteria>No consumption of other garlic products in groups
Not receiving weight-reducing drugs
Not having diabetes and familial hyperlipidemia
No allergy to black garlic</inclusion_criteria>
      <agemin>18 years</agemin>
      <agemax>60 years</agemax>
      <gender>Both</gender>
      <exclusion_criteria>&gt;30%  non-compliance with the diet
Taking drugs that affect weight during treatment
Failure to refer for weight control
Not receiving prescribed garlic orderly</exclusion_criteria>
    </criteria>
    <health_condition_code>
      <hc_code>E66.0</hc_code>
    </health_condition_code>
    <health_condition_keyword>
      <hc_keyword>Obesity due to excess calories</hc_keyword>
    </health_condition_keyword>
    <intervention_code>
      <i_code>Treatment - Other</i_code>
      <i_code>Treatment - Other</i_code>
    </intervention_code>
    <intervention_keyword>
      <i_keyword>Intervention group: The intervention group of 20 people will receive 10 grams of black garlic daily under a low-calorie diet for 8 weeks.</i_keyword>
      <i_keyword>Control group:  The control group will be 20 people who will be on a low-calorie diet without consuming black garlic garlic product.</i_keyword>
    </intervention_keyword>
    <primary_outcome>
      <prim_outcome>Body Weight. Timepoint: At the beginning and two months after therapeutic intervention (low-calorie diet with or without black garlik). Method of measurement: Accurate scale measuring 0.1 kg.</prim_outcome>
      <prim_outcome>Body fat percent. Timepoint: At the beginning and two months after therapeutic intervention (low-calorie diet with or without black garlik). Method of measurement: Bioimpedance Measurement.</prim_outcome>
    </primary_outcome>
    <secondary_outcome>
      <sec_outcome>Serum total cholesterol. Timepoint: At the beginning of the study (Just before the start of the intervention) and 8 weeks after the start of consuming black garlic and a low-calorie diet. Method of measurement: Enzymatic Method.</sec_outcome>
      <sec_outcome>Serum triglyceride. Timepoint: At the beginning of the study (Just before the start of the intervention) and 8 weeks after the start of consuming black garlic and a low-calorie diet. Method of measurement: Enzymatic Method.</sec_outcome>
      <sec_outcome>Serum high density lipoprotein. Timepoint: At the beginning of the study (Just before the start of the intervention) and 8 weeks after the start of consuming black garlic and a low-calorie diet. Method of measurement: Enzymatic method.</sec_outcome>
      <sec_outcome>Serum low density lipoprotein. Timepoint: At the beginning of the study (Just before the start of the intervention) and 8 weeks after the start of consuming black garlic and a low-calorie diet. Method of measurement: Estimating using freidwald formula.</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>Yasouj University of Medical Sciences</source_name>
    </source_support>
    <ethics_reviews>
      <ethics_review>
        <status>Approved</status>
        <approval_date>2023-03-13</approval_date>
        <contact_name>Ethics Committee of Yasuj University of Medical Sciences</contact_name>
        <contact_address>Shahid Motahari Blvd.,Yasouj University of Medical Sciences., Yasuj Yasuj Kohgilouyeh-va-Boyrahmad Iran (Islamic Republic of)</contact_address>
        <contact_phone></contact_phone>
        <contact_email></contact_email>
      </ethics_review>
    </ethics_reviews>
  </trial>
</trials>
