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Record W2785300445 · doi:10.1136/jisakos-2017-000181

Most elite athletes return to competition following operative management of meniscal tears: a systematic review

2018· review· en· W2785300445 on OpenAlexaff
Seper Ekhtiari, Moin Khan, Jacob M. Kirsch, Patrick Thornley, Christopher M. Larson, Asheesh Bedi

Bibliographic record

VenueJournal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAthletesTearsElite athletesDemographicsPhysical therapyReturn to sportSurgeryDemography

Abstract

fetched live from OpenAlex

Importance Meniscal injuries are common among athletes. When operative management is indicated, the decision between meniscal repair and meniscectomy is not always clear, particularly in elite athletes. Objective The aim of this systematic review was to (1) compare outcomes for partial meniscectomy and repair for the management of meniscus tears in elite athletes and (2) describe return-to-play (RTP) rates and complications for each operation. Evidence review MEDLINE, Embase and PubMed were searched from inception through to 5 March 2017. All studies were screened in duplicate for eligibility. Data extracted included demographics, surgical technique and RTP rate and timeline. Findings Ten studies (725 athletes) were included involving 355 elite athletes undergoing meniscal repair (111 patients) or partial/total meniscectomy (244). The majority of athletes were men (82.8%) and had a mean age of 25.0 years (14–38). Athletes were followed for a mean of 5.3 years (range=3 months to 18.4 years). American football was the most common sport (153 athletes), followed by soccer (69) and basketball (67). Athletes undergoing meniscal repair demonstrated a pooled mean RTP time of 7.6 months in comparison to 4.3 months for those undergoing partial meniscectomy (P<0.0001). Of athletes undergoing meniscal repair, 86.5% RTP at their preoperative level, compared with 80.4% of athletes undergoing partial meniscectomy (P=0.24). Following meniscectomy, athletes who were taller, drafted in higher rounds and had played or started more games preoperatively were less likely to suffer negative career impacts postoperatively. Satisfaction rates (92% vs 76%) and clinical scores (8.8 vs 6.9, P=0.05) were higher among recreational than elite athletes. Conclusion Athletes undergoing partial meniscectomy RTP sooner than those undergoing meniscal repair. Both operations are safe and the majority of athletes RTP at their preoperative level of competition following either operation. Further research is required to identify when each option is preferable in this population. Relevance Based on the currently available evidence, meniscectomy and meniscal repair are both viable options for elite athletes with meniscal injuries. Each method has small advantages and disadvantages compared with the other, and thus a shared decision should be made with the athlete. Level of evidence Level IV, systematic review of level III and IV studies.

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)0.004
metaresearch head score (Gemma)0.025
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.331
Teacher spread0.313 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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