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Record W4327831610 · doi:10.46889/jsrp.2023.4104

Retrograde Tibia Intramedullary Nailing in Tibiotalocalcaneal Arthrodesis

2023· article· en· W4327831610 on OpenAlexaff
Richard Jenkinson

Bibliographic record

VenueJournal of Surgery Research and Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineIntramedullary rodSurgeryTibiaArthrodesisDelayed unionCalcaneusAnkleNail (fastener)FibulaNonunion

Abstract

fetched live from OpenAlex

Background: A case series demonstrating the use of a tibia intermedullary nail placed in a retrograde fashion through the calcaneus and talus as a Tibiotalocalcaneal (TTC) arthrodesis salvage technique in three separate patients. Case Presentation: The first case, an 80-year-old female with a previous Total Knee Arthroplasty (TKA) and ipsilateral open tibia shaft fracture developed a septic non-union with hardware failure. Given her multiple comorbidities, she was treated with a long TTC arthrodesis using a retrograde tibial nail to preserve her soft tissue and encourage earlier mobilisation. The second case, was a 55-year-old male with an open right pilon fracture and multiple surgeries due to non-union of his fracture, including failed TTC with hindfoot nail, he was salvaged with a TTC arthrodesis using a long TTC arthrodesis with a retrograde tibial nail. The last patient, a 30-year-old male who fell 25 feet and suffered a right open pilon fracture required multiple surgeries due to septic non-union, and eventually achieved union after a TTC arthrodesis with osteotomy for deformity correction, both of which were stabilized using a retrograde tibial nail. Conclusion: In this case series, the patients underwent revision surgery for non-union using a long TTC arthrodesis construct with a retrograde tibial nail ultimately achieving union. We found that for select patients, a retrograde tibial nail for TTC arthrodesis was a useful option to reduce complications, achieve union, and help to encourage early mobilization and return of function.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.230
GPT teacher head0.455
Teacher spread0.226 · 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 designCase report
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

Citations0
Published2023
Admission routes1
Has abstractyes

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