Relation of Helicobacter Pylori in Prediabetic Patients
1 other identifier
observational
82
0 countries
N/A
Brief Summary
The primary objective of this study is to : find the relation between H.pylori infection and pre-diabetic patients with lipid profile . Specifically, the study aims to:
- 1.affect of H.pylori infection in pre-diabetic patients
- 2.realation between Pre-diabetic patient and lipid profile
- 3.Risk factor of H.pylori infection in pre-diabetic patients D)HbA1C test measures your average blood sugar level over the past 2 or 3 months.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Mar 2024
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 10, 2023
CompletedFirst Posted
Study publicly available on registry
December 19, 2023
CompletedStudy Start
First participant enrolled
March 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2025
CompletedDecember 28, 2023
December 1, 2023
1 year
December 10, 2023
December 21, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Relation of Helicobacter pylori Infection in patients with Impaired glucose tolerance and their lipid profile in upper Egypt.
Is there relationship between h.pylori in predibetic patients if they are positive increased to be diabetic
Baseline
Study Arms (1)
H.pylori in predibetic with lipid profile
Lipid profile HbA1c
Interventions
Eligibility Criteria
Descriptive statistics will be used to summarize the demographic and clinical characteristics of the study population, as well as fatigue scores. Bivariate analysis (e.g., t-tests, chi-square tests) will be employed to identify significant associations between demographic, clinical, and psychosocial variables with fatigue severity. Multiple regression analysis will be performed to determine the independent predictors of hemodialysis-associated fatigue, considering factors with significant associations from the bivariate analysis. Statistical significance will be set at p \< 0.05.
You may qualify if:
- clinical diagnosis ofPre-diabetic patients, age 30-60 years of either gender with fasting glucose 100 mg/dL-125 mg/dL and/or HbA1c 5.7-6.4%
You may not qualify if:
- insulin dependent diabetes
- hyperlipidemia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (1)
American Diabetes Association: clinical practice recommendations 1996. Diabetes Care. 1996 Jan;19 Suppl 1:S1-118. No abstract available.
PMID: 8689936BACKGROUND
Study Officials
- STUDY DIRECTOR
Mohammed Fasil, Prof
Assiut University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal investigator
Study Record Dates
First Submitted
December 10, 2023
First Posted
December 19, 2023
Study Start
March 1, 2024
Primary Completion
March 1, 2025
Study Completion
April 1, 2025
Last Updated
December 28, 2023
Record last verified: 2023-12