Surgery to Strength: A Literature Review of Postoperative Rehabilitation for Hindfoot Surgeries
Bibliographic record
Abstract
Calcaneal osteotomy, subtalar fusion, and triple fusion are the main surgical interventions used to correct foot deformities, reduce pain, and restore functionality in arthritis, flatfoot deformity, and post-traumatic complications. The outcomes of these surgical interventions are dependent on careful surgical planning, postoperative patient compliance, and comprehensive multidisciplinary management. Rehabilitation generally follows a stepwise approach, starting with non-weight-bearing and partial weight-bearing and ending with targeted physiotherapy. This will enhance mobility and strength and minimize complications such as muscle atrophy and joint stiffness. Patient compliance is critical to achieve adequate results as it greatly influences bone healing and leads to better functional recovery. Patient demographics and comorbidities and specific surgical techniques often influence rehabilitation approaches and need individualized tailored treatment plans. This review presents updated evidence and recommends a standard postoperative rehabilitation protocol for these three surgical techniques. Additionally, it will discuss the variations between different protocols in clinical practice, highlight the causes of those differences, and propose recommendations for future research. Recently, it has become increasingly clear that there is a lack of consistent, high-quality evidence to guide postoperative rehabilitation after hindfoot surgery. This highlights the growing need for large-scale research to define postoperative protocols, weight-bearing guidelines, and advanced therapeutic modalities. Establishing evidence-based, broadly accepted guidelines could significantly enhance healing outcomes, functional recovery, and patient satisfaction in foot surgery rehabilitation.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".