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Record W1519838691

Morbidity resulting from the treatment of tibial nonunion with the Ilizarov frame.

2002· article· en· W1519838691 on OpenAlexaff
David Sanders, Robert D. Galpin, Mehti Hosseini, Mark MacLeod

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineNonunionAnkleIlizarov TechniqueOsteoarthritisSurgeryRetrospective cohort studyVisual analogue scaleTibia
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the sources and magnitude of residual morbidity after successful treatment of tibial nonunion using the Ilizarov device and techniques. DESIGN: A retrospective cohort study. SETTING: A level 1 trauma centre. PATIENTS: Sixteen patients with healed tibial nonunion. INTERVENTION: Application of the Ilizarov device and techniques to obtain union of a previous ununited tibial fracture. MAIN OUTCOME MEASURES: Patient satisfaction and sources of morbidity through clinical review and a visual analogue scale. Two disease-specific outcome measurement scales were used to assess ankle dysfunction. Radiographs were examined to determine the presence of arthrosis. RESULTS: Residual pain was present in over 90% of patients at a mean follow-up of 39 months: in 80% the worst pain was in the ankle, less than 10% felt the worst pain in the knee or at the fracture site. Mean ankle osteoarthritis scores were 3.4 for pain and 4.0 for disability, compared with 0.76 and 0.90 respectively for age-matched controls. Mean ankle-hindfoot scores were between 64 and 100. CONCLUSION: Ankle pain with disability is the major source of residual disability after successful use of the Ilizarov device for the treatment of tibial nonunion.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.045
GPT teacher head0.241
Teacher spread0.196 · 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

Citations42
Published2002
Admission routes1
Has abstractyes

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