ClinicalTrials.gov
public full text
Public Domain
A Research Study to See How Well Semaglutide Helps People Who Have a Body Weight Above the Healthy Weight Range
This study will look at how the investigational dose of semaglutide works in helping people with excess body weight, to lose weight. This study will compare the weight loss in people taking semaglutide to people taking "dummy" medicine (placebo). The study will last for about 1 year. The participants will have 12 visits at the clinic and 3 remote visits by phone calls with the study doctor or staff.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Study to Test Whether Survodutide Improves How the Body Uses Energy and Breaks Down Fat in People With Obesity#802214
- Research Study on How Well Oral Semaglutide Works for Weight Loss in Adults With Excess Body Weight#981367
- Higher semaglutide dose is associated with lower neuropsychiatric event incidence independent of weight loss#684656
- A Research Study to Look at How Two Different Doses of CagriSema and One Dose of Semaglutide Help People Living With Obesity With or Without Type 2 Diabetes Lose Weight#1031259
- A Research Study to Understand How Oral Semaglutide Works in People With Type 2 Diabetes in India#1059087
Record · ID 894938
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive