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Record W2746541693 · doi:10.1177/0363546517719244

Comparable Outcomes After Bucket-Handle Meniscal Repair and Vertical Meniscal Repair Can Be Achieved at a Minimum 2 Years’ Follow-up

2017· article· en· W2746541693 on OpenAlexaboutno aff
Gilbert Moatshe, Mark E. Cinque, Jonathan A. Godin, Alexander R. Vap, Jorge Chahla, Robert F. LaPrade

Bibliographic record

VenueThe American Journal of Sports Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTearsSurgeryWOMACOsteoarthritisMeniscusFibrous jointPatient satisfactionIncidence (geometry)

Abstract

fetched live from OpenAlex

BACKGROUND: Meniscal tears can lead to significant pain and disability, necessitating surgical treatment. Nondisplaced vertical tears are usually smaller in size and can be repaired in most cases; however, bucket-handle tears are usually larger and displaced, and the repair of these tears can be challenging. Purpose/Hypothesis: The purpose was to report the outcomes after inside-out vertical mattress suture meniscal repair of bucket-handle tears and to compare these outcomes with those of patients who underwent repair of nondisplaced vertical meniscal tears with a minimum of 2 years' follow-up. The hypothesis was that the outcomes of bucket-handle tear repair would be comparable with those of nondisplaced vertical meniscal tear repair. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Patients who underwent inside-out repair of a bucket-handle meniscal tear or a nondisplaced vertical meniscal tear with a minimum 2 years' follow-up were included in this study. Patients were excluded if they had a diagnosis of a meniscal root tear, underwent a concomitant procedure for a chondral injury, or underwent previous surgical treatment of the same meniscus. Subjective questionnaires were administered preoperatively and postoperatively, including the Lysholm score, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), the Short Form-12 (SF-12) physical component summary (PCS) and mental component summary (MCS), the Tegner activity scale, and patient satisfaction. RESULTS: Thirty-two patients underwent repair for vertical meniscal tears (mean, 7 sutures), while 38 patients underwent repair for bucket-handle meniscal tears (mean, 11 sutures), with a mean follow-up of 3.1 years (range, 2-6 years). There were no significant differences in the preoperative outcome scores between the 2 groups. Significant improvements in patient-reported outcome scores from preoperatively to postoperatively were found in both groups. A direct comparison of the bucket-handle tear group to the vertical tear group did not exhibit significantly different SF-12 PCS scores (54.0 vs 51.6, respectively; P = .244), SF-12 MCS scores (55.3 vs 52.5, respectively; P = .165), WOMAC scores (8.1 vs 9.0, respectively; P = .729), Lysholm scores (84.6 vs 80.8, respectively; P = .276), Tegner scores (5.5 vs 5.5, respectively; P = .970), and patient satisfaction scores (7.4 vs 7.7, respectively; P = .570). Additionally, a comparison of acute and chronic bucket-handle tears demonstrated no significant difference in outcome scores. CONCLUSION: The repair of bucket-handle meniscal tears with multiple vertical mattress sutures using an inside-out technique yielded improved results and low failure rates, comparable with outcomes after repair of nondisplaced vertical meniscal tears. The findings of this study support repairing bucket-handle meniscal tears with multiple vertical mattress sutures when possible.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.015
GPT teacher head0.294
Teacher spread0.279 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations48
Published2017
Admission routes1
Has abstractyes

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