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Record W4288459222 · doi:10.1177/2325967121s00634

Paper 71: Remplissage reduces the risk of postoperative recurrent instability versus Bankart repair alone: Medium-term results from a randomized controlled trial

2022· article· en· W4288459222 on OpenAlexaff
Peter MacDonald, Sheila McRae, Peter Lapner, Jason Old, J. Ian Marsh, James Dubberley, Gregory Stranges, Jarret M. Woodmass, Ivan Kamikovski

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of ManitobaPan Am Clinic
Fundersnot available
KeywordsMedicineRandomized controlled trialSubluxationSurgeryAnterior shoulderBankart repair

Abstract

fetched live from OpenAlex

Objectives: Based on findings from our multi-center, double-blinded randomized controlled trial comparing arthroscopic Bankart repair with/without remplissage for the treatment of traumatic recurrent shoulder instability there is a greater risk of postoperative recurrent instability in patients without a remplissage at two years follow-up. The objective of the current study is to determine whether our short-term findings change with medium-term follow-up. Methods: This was a double-blinded, randomized clinical trial with two 1:1 parallel groups conducted at two sites. Patients were randomized intra-operatively to an arthroscopic Bankart with remplissage (REMP) or isolated Bankart repair (NO REMP) between 2011 and 2017. Inclusion criteria were patients 14 years or older diagnosed with traumatic anterior shoulder instability with a glenoid defect >15% and the presence of a Hill-Sachs defect (of any size). Patients were contacted by telephone (Spring 2020) and asked standardized questions to determine whether any additional information regarding subluxations, dislocation or additional surgery occurred since their two-year follow-up. “Recurrent instability” was defined as patient-reported dislocation, or two or more episodes of subluxation. Kaplan-Meier survival analyses were performed to assess survival distribution between groups. For the time factor in the survival analysis, the number of months from time of surgery to outcome (either failure or no failure) was based on the time of the long-term follow-up phone call, or from the time of last reported outcome based on clinical or study follow-ups, whichever was the greatest. These were conducted for: 1) recurrent instability and 2) dislocations. Odds ratios with 95% confidence intervals were also calculated. Results: Study groups were similar at baseline with respect to age, gender and BMI. Fifty-four patients were randomized to each study group at the time of the original study. , with 52 REMP and 50 NO REMP included in the analyses up to 24-months post-operative. Of those, 36 from each group were available for mid-term follow-up. Mean months (mean) from surgery to last follow-up was 53.8 for REMP and 49.3 for NO REMP. The rate of postoperative recurrent instability at medium term follow-up was 10% (5/52) in the REMP group at an average of 24 months and 30% (15/50) in NO REMP at an average of 19.5 months (p=0.010). The odds ratio of recurrent instability in the NO REMP group relative to the REMP group was 4.029 (1.337-12.135; p=0.010) and the survival curve was significantly different favouring REMP (χ 2 = 6.958, P=0.008; Figure 1). With respect to dislocations only, the odds ratio in the NO REMP group relative to REMP was 3.385 (0.999-11.463; p=0.041) and the survival curve was also significantly different favouring the REMP (χ 2 = 4.412, p=0.036; Figure 2). Conclusions: At medium-term follow-up, patients undergoing a Bankart repair with remplissage have a better rate of survival than those with an isolated Bankart repair. [Figure: see text][Figure: see text]

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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 designRandomized trial
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

Citations1
Published2022
Admission routes1
Has abstractyes

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