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Record W2799414795 · doi:10.2106/jbjs.17.00785

Charcot Neuroarthropathy of the Foot and Ankle

2018· review· en· W2799414795 on OpenAlexaff
Andrew Dodd, Timothy R. Daniels

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2018
Typereview
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsUniversity of TorontoSt. Michael's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineAnkleNonunionSurgeryAmputationDeformityArthrodesisExternal fixationSoft tissueDiabetes mellitusFoot (prosody)Diabetic footFoot deformityProsthesis

Abstract

fetched live from OpenAlex

➤ Charcot neuroarthropathy (CN) is a systemic disease that generates pathological changes in the musculoskeletal system, causing fractures, dislocations, and deformities involving the foot and ankle. ➤ A common underlying cause of CN is diabetes mellitus; a substantial risk of ulceration and deep infection contributes to a 15% rate of major amputation (i.e., at the level of the ankle or higher). ➤ The goal of both nonsurgical and surgical treatment of CN is to obtain a stable, plantigrade foot free from ulcerations; an equally important goal is to manage the patient’s diabetes and obesity. ➤ The primary indications for surgery are recurrent ulceration, substantial deformity, deep infection, and pain; common complications include nonunion, wound breakdown, and infection. ➤ The principles of thorough joint preparation, deformity correction, and minimizing soft-tissue trauma are essential when arthrodesis is performed for CN, which requires more robust (internal and/or external) fixation and prolonged off-loading.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.064
GPT teacher head0.304
Teacher spread0.241 · 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 designNot applicable
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

Citations53
Published2018
Admission routes1
Has abstractyes

Explore more

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