Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

A Study to Assess the Adverse Events and Effectiveness of BOTOX Injections for the Treatment of Moderate to Severe Forehead Lines in Chinese Adult Participants

AbbVie · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
Facial lines (such as glabellar lines \[GL\], lateral canthal lines \[LCL\], and forehead lines \[FHL\]) are perhaps the most visible signs of aging. Hyperfunctional facial lines that develop from repeated facial expression may be treated by selectively weakening specific muscles with small quantities of botulinum toxin. The purpose of this study is to assess adverse events and effectiveness of BOTOX in Chinese adults with moderate to severe FHL. Participants are placed in 1 of 2 groups, called treatment arms. Around 140 adult participants with moderate to severe FHL will be enrolled in the study. Participants in the treatment group will receive intramuscular injections on Day 1 and followed for up to 180 Days. There may be higher treatment burden for participants in this trial compared to their standard of care. Participants will attend regular visits during the study at the study site. The effect of the treatment will be checked by medical assessments, checking for side effects and completing questionnaires.
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

Record · ID 1431030
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