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Avulsion Fractures of the Calcaneal Tuberosity: A Single-Center Review of Outcomes and Complications

2021· review· en· W3216249901 on OpenAlexaff
Michael E. Doany, Alexander Garcia, David E. Komatsu, Nicholas Divaris, Stephen Kottmeier, Megan Paulus

Bibliographic record

VenueJAAOS Global Research and Reviews · 2021
Typereview
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsAvulsionMedicineCenter (category theory)CalcaneusOrthodonticsAvulsion fractureSingle CenterSurgery

Abstract

fetched live from OpenAlex

OBJECTIVES: The goal of this investigation was to determine the incidence of complications and revision surgery after calcaneal tuberosity avulsion fractures, to describe experience with different fixation constructs, and to compare revision surgery rates between tuberosity and tongue-type fractures of the calcaneus. DESIGN: This was a retrospective study at a single level 1 trauma center between 2001 and 2019, including patients with calcaneal tuberosity avulsion fractures compared with patients with calcaneal tongue-type fractures. RESULTS: Twenty-nine tuberosity fractures (23 surgical and six nonsurgical) and 37 tongue-type fractures (29 surgical and eight nonsurgical) were treated during the study period. Revision surgery was more common in the tuberosity group (26% versus 7%, P = 0.013). In the tuberosity group, 35% experienced some degree of implant failure, with 13% catastrophic loss of reduction and 22% loss of initial reduction with eventual union. Fragment size and initial displacement were not associated with revision surgery. No patients with implant failure noted in the tongue-type group. DISCUSSION: Calcaneal tuberosity fractures showed significantly higher rate of revision surgery and failure of fixation compared with tongue-type fractures.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.776
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.278
GPT teacher head0.510
Teacher spread0.231 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations7
Published2021
Admission routes1
Has abstractyes

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