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Record W4412591883 · doi:10.1177/23259671251357513

Postoperative Rehabilitation Protocol After Isolated Meniscal Repair: A Systematic Review

2025· review· en· W4412591883 on OpenAlexaff
Marc Daniel Bouchard, Matthew Macciacchera, J. Raymond Gilbert, Darius L. Lameire, Jihad Abouali

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsToronto East General HospitalUniversity of OttawaUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMedicineRehabilitationSystematic reviewMEDLINEMeniscusProtocol (science)Physical therapyTearsSurgeryEvidence-based medicinePhysical medicine and rehabilitationIncidence (geometry)Pathology

Abstract

fetched live from OpenAlex

Background: The meniscus plays a critical role in knee stability and load distribution, with meniscal tears often resulting from trauma or degeneration. Rehabilitation protocols after meniscal repair lack standardization, particularly regarding weightbearing restrictions and their effect on outcomes. Hypothesis/Purpose: This systematic review hypothesizes that accelerated weightbearing protocols after isolated meniscal repair would lead to improved patient-reported outcomes and comparable failure rates relative to restricted rehabilitation protocols. The purpose was to evaluate the influence of different postoperative rehabilitation strategies on failure rates and functional outcomes after isolated meniscal repair. Study Design: Systematic review; Level of evidence, 4. Methods: Comprehensive searches of Embase, OVID Medline, and Emcare databases were conducted through November 2024. Studies were included if they reported on adult patients undergoing arthroscopic repair for isolated meniscal tears, described postoperative rehabilitation protocols, and had ≥10 months of follow-up. The primary outcome was repair failure (retears, revision surgery, or persistent symptoms). Secondary outcomes included patient-reported outcome measures (PROMs) and postoperative complications. Descriptive statistics summarized findings, with discrepancies resolved by a third investigator. Results: Ten studies (n = 313 patients) met the inclusion criteria. Most tears were medial (62%-93%) and primarily vertical or longitudinal, located in vascular zones. Rehabilitation protocols included accelerated/immediate weightbearing as tolerated (WBAT) (n = 7 studies), restricted weightbearing (n = 5 studies), and modified progressive programs (n = 1 study). Failure rates were 24.1% (accelerated WBAT), 28.3% (restricted), and 4.3% (modified progressive). PROMs (Lysholm and Tegner scores) were generally higher in accelerated WBAT protocols, with scores exceeding 85 and 7.2, respectively. Modified progressive rehabilitation yielded the lowest failure rate (4.3%) and favorable PROMs in the 1 study that utilized this method. Conclusion: The relationship between meniscal tear characteristics, repair techniques, and postoperative rehabilitation protocols plays a pivotal role in determining outcomes after isolated meniscal repair. Accelerated rehabilitation protocols may offer benefits such as faster recovery and improved patient satisfaction; nonetheless, they must be balanced against the increased risk of repair failure, particularly in complex tear patterns. Individualized rehabilitation protocols, accounting for tear characteristics, patient health, and surgical techniques, may optimize outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.054
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.009
GPT teacher head0.343
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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