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Record W2085438046 · doi:10.3113/fai.2007.1048

Off-Loading of Hindfoot and Midfoot Neuropathic Ulcers Using a Fiberglass Cast with a Metal Stirrup

2007· article· en· W2085438046 on OpenAlexaff
Eran Tamir, Timothy R. Daniels, Aharon S. Finestone, M. Nof

Bibliographic record

VenueFoot & Ankle International · 2007
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineStirrupSurgeryHeel

Abstract

fetched live from OpenAlex

BACKGROUND: This study was designed to assess the effectiveness of a method of off-loading large neuropathic ulcers of the hindfoot and midfoot. The device used is composed of a fiberglass cast with a metal stirrup and a window around the ulcer. METHODS: A retrospective study of 14 diabetic and nondiabetic patients was performed. All had chronic plantar hindfoot or midfoot neuropathic ulcers that failed to heal with conventional treatment methods. A fiberglass total contact cast with a metal stirrup was applied. A window was made over the ulcer to allow daily ulcer care. RESULTS: The average duration of ulcer before application of the metal stirrup was 26 + 13.2 (range 7 to 52) months. The ulcer completely healed in 12 of the 14 patients treated. The mean time for healing was 10.8 weeks for midfoot ulcers and 12.3 weeks for heel ulcers. Complications developed in four patients: three developed superficial wounds and one developed a full-thickness wound. In three of these four patients, local wound care was initiated, and the stirrup cast was continued to complete healing of the primary ulcer. CONCLUSIONS: A fiberglass cast with a metal stirrup is an effective off-loading device for midfoot and hindfoot ulcers. It is not removable and does not depend on patient compliance. The window around the ulcer allows for daily wound care, drainage of the ulcer and the use of vacuum-assisted closure (VAC) treatment. The complication rate is comparable to that of total contact casting.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.293
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.296
Teacher spread0.274 · 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 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

Citations21
Published2007
Admission routes1
Has abstractyes

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