Comprehensive Management of Hip Osteoarthritis: A Systematic Review of Biomechanics, Total Hip Arthroplasty, and Rehabilitation Strategies
Bibliographic record
Abstract
Background: Hip osteoarthritis (HOA) is a progressive degenerative joint disease that significantly affects mobility, functionality, and quality of life. As global life expectancy increases, the prevalence of HOA is expected to rise, necessitating a comprehensive evaluation of management strategies, including biomechanical adaptations, conservative treatments, total hip arthroplasty (THA), and rehabilitation protocols. This systematic review synthesizes current evidence on the most effective therapeutic approaches for optimizing pain relief, functional mobility, and long-term patient outcomes. Methods: This study followed PRISMA guidelines for a systematic literature review. Searches were conducted in PubMed, Scopus, Web of Science, and Cochrane Library, selecting peer-reviewed studies published between 2018 and 2024. Inclusion criteria covered clinical trials, cohort studies, systematic reviews, and meta-analyses evaluating HOA management, THA techniques, and post-surgical rehabilitation. Quality assessments were performed using the Cochrane Risk of Bias Tool, Newcastle-Ottawa Scale, and AMSTAR-2 checklist. Data were synthesized using narrative synthesis and meta-analysis, where applicable. Results: Conservative treatments, particularly exercise therapy, weight management, and NSAID-based pharmacological interventions, demonstrated significant efficacy in delaying disease progression and improving symptoms. Total hip arthroplasty remains the gold standard for end-stage HOA, with robotic-assisted THA, dual-mobility implants, and highly cross-linked polyethylene liners emerging as significant advancements in surgical precision and implant longevity. Postoperative rehabilitation, including proprioceptive training, gait retraining, and balance exercises, is essential for restoring function and minimizing complications. Biomechanical studies revealed that spinopelvic alignment, gait asymmetry, and altered joint offset play crucial roles in disease progression and surgical outcomes. Conclusion: Managing hip osteoarthritis requires a multimodal and individualized approach, integrating biomechanical assessments, conservative strategies, surgical innovations, and structured rehabilitation programs. Advances in artificial intelligence-driven gait analysis, virtual rehabilitation, and 3D-printed implants offer promising future directions for optimizing treatment. This review highlights the necessity of early diagnosis, biomechanical optimization, and evidence-based rehabilitation protocols to enhance patient mobility, independence, and overall quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".