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Recruiting NCT06015620

NCT06015620 Comorbidities Resolution After MGB Surgery and Change in Body Composition

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Clinical Trial Summary
NCT ID NCT06015620
Status Recruiting
Phase
Sponsor All India Institute of Medical Sciences, Bhubaneswar
Condition Morbid Obesity
Study Type OBSERVATIONAL
Enrollment 35 participants
Start Date 2023-09-01
Primary Completion 2026-12-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 65 Years
Study Type OBSERVATIONAL
Interventions
Mini gastric bypass surgery

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 35 participants in total. It began in 2023-09-01 with a primary completion date of 2026-12-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This observational study aims to learn about the correlation between the improving comorbidities associated with obesity after MGB (Mini-Gastric Bypass) surgery and changes in body composition in morbidly obese patients. The main questions it aims to answer are: To study the correlation between the improving comorbidities associated with obesity after MGB(Mini-Gastric Bypass) surgery and changes in body composition. Other objectives are: * Changes in the parameters of the metabolic syndrome after surgery * Changes in the cardiovascular risk biomarkers after metabolic surgery * Emergence in complications arising out of surgery requiring any intervention or causing a prolonged hospital stay, or requiring additional outpatient visits. Type of Study: An observational study in which participants with morbid obesity will undergo mini-gastric bypass surgery as per routine protocol. No separate experimental interventions will be done in the study for the participants.

Eligibility Criteria

Inclusion Criteria: * All patients undergoing laparoscopic MGB surgery for morbid obesity and it's associated comorbidities Exclusion Criteria: * Patients not giving consent for the study * All patients who were undergoing a redo-procedure for recurrence were excluded from the study

Contact & Investigator

Central Contact

Prakash K Sasmal, MS, FACS

✉ drpksasmal@gmail.com

📞 +91 9438884255

Principal Investigator

Prakash K Sasmal, MS, FACS

PRINCIPAL INVESTIGATOR

All India Institute of Medical Sciences, Bhubaneswar, India

Frequently Asked Questions

Who can join the NCT06015620 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 65 Years, studying Morbid Obesity. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06015620 currently recruiting?

Yes, NCT06015620 is actively recruiting participants. Contact the research team at drpksasmal@gmail.com for enrollment information.

Where is the NCT06015620 trial being conducted?

This trial is being conducted at Bhubaneswar, India.

Who is sponsoring the NCT06015620 clinical trial?

NCT06015620 is sponsored by All India Institute of Medical Sciences, Bhubaneswar. The principal investigator is Prakash K Sasmal, MS, FACS at All India Institute of Medical Sciences, Bhubaneswar, India. The trial plans to enroll 35 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology