ClinicalTrials.gov
public full text
Public Domain
Evaluation of the Effects of Home-based Functional Exercise on Patients With ACL
This study will evaluate the effect of home-based functional exercise on patients with anterior cruciate ligament rupture reconstruction based on the health belief model. About 360 participants will be randomly allocated into two groups. One group will randomized to receive precautions and rehabilitation progress reminders and other news by optimized WeChat applet regularly, while the other group will randomized to receive the rehabilitation exercise guidance during routine discharge.
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
- Evaluation of the Evolution of Proprioceptive Reweighting Abilities Following Anterior Cruciate Ligament Reconstruction Surgery#872377
- Independent Exercise Compared With Formal Rehabilitation Following Primary Total Knee Replacement#808144
- Association Of Knee Pain With High-Impact Workouts Among Gym Participants: A Cross-Sectional Study#1102899
- The Effect of Exercise on Disease Activity and Cardiovascular Risk for Patients With Axial SpondyloArthritis#876900
- The Effectiveness of Using Interactive Devices for Home Exercise in Patients With Frozen Shoulder.#1047622
Record · ID 845013
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