Selected Nutrients to Oppose Muscle Disuse Following Arthroscopic Orthopedic Surgery: A Narrative Review
Bibliographic record
Abstract
Background: Orthopedic surgery and the corresponding events (i.e., immobilization and muscle disuse) result in a cascade of biological events to promote healing but can come with the loss of skeletal muscle mass and strength. A good nutritional status of patients is associated with positive post-surgical outcomes, with macronutrients receiving the majority of emphasis in the research literature. However, beyond the surgical literature, there are other nutrients and nutritional supplements that have been established or postulated to improve skeletal muscle mass and strength. Objective: The purpose of this narrative review is to provide evidence for the utility of using creatine, vitamin D, omega-3 fatty acids, glutamine, essential amino acids-branched chain amino acids (EAA-BCAA) and beta-hydroxy-beta-methylbutyrate (HMB) supplementation and the role they may play in minimizing muscle atrophy and strength loss following orthopedic surgery. The review will also highlight areas of future research to support a better understanding of the efficacy of supplementing with these substances pre- and/or post-surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".