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Bone Overgrowth in the Adult Traumatic Amputee

2003· article· en· W2093777187 on OpenAlexaff
Nancy Dudek, Melanie N. DeHaan, Meridith B. Marks

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2003
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineAmputationFemurRehabilitationProsthesisSurgerySoft tissuePhysical therapy

Abstract

fetched live from OpenAlex

Bone overgrowth of the residual limb after an amputation is a well documented complication in the pediatric amputee population. Bone overgrowth can cause pain, problems with skin breakdown, and poor prosthetic fit. There have been few reports of bone overgrowth in the adult amputee. Two cases of traumatic transfemoral amputations after extensive tissue damage are presented. Both patients successfully completed an in-patient amputee rehabilitation program and achieved functional ambulation with their prostheses. However, each developed distal residual limb pain within a year after their amputations that significantly limited the amount of time they could wear their prostheses and the distance they could walk. Radiographs demonstrated additional bone growth from the residual femur into adjacent soft tissues in both patients. These case examples demonstrate that bone overgrowth should be considered in the differential diagnosis of residual limb pain in the adult amputee.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.004
GPT teacher head0.237
Teacher spread0.232 · 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 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

Citations41
Published2003
Admission routes1
Has abstractyes

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