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

Clinical Outcome Following Arthroscopic Knee Surgery

The University of Texas Health Science Center, Houston · 2014
ClinicalTrials.gov · Datasets · License: Public Domain · 2014
Open Source ↗
Purpose: There are no existing data available to guide clinicians in the appropriate rehabilitation progression of patients who have undergone knee arthroscopy. The investigator intends to fill this void by establishing normative recovery curves for patients undergoing knee arthroscopy. Research Design: Prospective Observational Design Procedures: Patients 10-70 years old will be screened for "standard of care" clinical and functional outcomes to occur at standardized time-points (post-op weeks 1-4, 8, 12, 16, 20 and return to sport/activity) following arthroscopic knee surgery. Recovery curves will be plotted for all outcome variables of interest including; (1) International knee Disability Committee (IKDC) survey, (2) Tampa Kinesiophobia scale, (3) Tegner activity scale, (4) Marx activity scale, (5) Passive knee range of motion/heel-height difference, (6) Balance Error Scoring System (BESS), (7) Quad/Hamstring strength ratios, (8) Y-Balance, (9) Functional Movement Screening, (10) Vail-Sport Test, (11) Landing Error Scoring System (LESS), (12) Hop Testing, and the (13) Sports Metrics Test. Polynomial lines-of-best-fit and 95% confidence intervals will be plotted to provide objective recovery curves for clinical utilization and stratification of patient recovery. Risks: There are no additional risks to "standard physical therapy practice" for post-surgical patients participating in this study. The investigator will not be using invasive procedures or testing modalities that emit radiation. Benefits \& Clinical Relevance: This information may offer valuable information to clinicians treating patients following knee arthroscopy by providing objective data for each phase of post-operative recovery. Identifying key landmarks and functional milestones may allow the ability to identify patients who are not meeting clinical expectations and subsequently tailor rehabilitation programs to improve recovery trajectories.
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 832043
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