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Record W3026167224 · doi:10.1177/1071100720920276

Reoperation Profile of Lateral vs Anterior Approach Ankle Arthroplasty

2020· article· en· W3026167224 on OpenAlexaffabout
Oliver Gagné, Murray J. Penner, Kevin Wing, Andrea Veljkovic, Alastair Younger

Bibliographic record

VenueFoot & Ankle International · 2020
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineAnkleAnkle replacementSurgeryDeformityOsteotomyRetrospective cohort studyFoot and ankle surgery

Abstract

fetched live from OpenAlex

Background: The operative procedure for a total ankle replacement (TAR) is intimately associated with the prosthetic design. The anterior and lateral approaches both have pros and cons regarding their respective soft tissue complications, osteotomy requirements, orientation of the bone cut, and gutter visualization. Although both have been studied independently, few reports have compared both in the same setting. The purpose of this retrospective study was to investigate the difference in reoperation rate after lateral or anterior approach ankle arthroplasty. We hypothesized that the anterior approach had a higher rate of wound complications. Methods: We evaluated data from a single center collected between 2014 and 2017, comprising a total of 115 total ankle replacements performed by 1 of 4 fellowship-trained foot and ankle surgeons. Reoperations were recorded as an operative report with classification by Canadian Orthopaedic Foot and Ankle Society (COFAS) Reoperations Coding System (CROCS). The index approach used was determined by the surgeon’s practice preference. Patients were included when they had a primary TAR in the time frame noted and had a complete data set up to at least 2 years after surgery. The cohort comprised 67 anterior and 48 lateral operations with balanced demographics for age (95% CI: 63-67 years) and gender (47% F). The lateral group had more complex cases with higher COFAS type arthritis (more periarticular arthritis and surrounding deformity). Results: Comparing the 2 groups, a total of 40 reoperations (7 anterior [A], 33 lateral [L]) occurred in 27 patients (5 A, 22 L). One patient had 4 related reoperations. The only revision was in the anterior group. The only soft tissue reconstruction was a split-thickness skin graft in the lateral group. Nine reoperations were irrigation debridement related to an infection or wound complication (3 A, 6 L). The majority (19/33) of reoperations in the lateral group were gutter debridement (8) or lateral hardware removal (11). Operative time was statistically different at 145 minutes (95% CI: 127-164 minutes) in anterior TAR and 178 minutes (95% CI: 154-202 minutes) for lateral TAR ( P = .0058). The odds ratio of having any reoperation with a lateral approach TAR was 6.19 compared to the anterior group. Conclusion: The results at the 2-year time point demonstrated that there were more reoperations after a lateral approach TAR than an anterior TAR, recognizing the significant case complexity imbalance between the groups and a corresponding relative increase in resource utilization of lateral TAR patients. The 2 implant designs were associated with different reoperation rates, favoring the anterior group. Change in the lateral fixation may have reduced the risk of repeat surgery. Level of Evidence: Level III, retrospective comparative series.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.260
Teacher spread0.236 · 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

Citations16
Published2020
Admission routes2
Has abstractyes

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