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Record W3173193573 · doi:10.2106/jbjs.cc.20.00842

Longstanding Nonunion of Metatarsal Fractures in an Adult Patient with Autosomal Dominant Osteopetrosis

2021· article· en· W3173193573 on OpenAlexaff
Arsh Sidhu, Manjot Birk, Jeffrey L. Nacht

Bibliographic record

VenueJBJS Case Connector · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBone Metabolism and Diseases
Canadian institutionsVancouver General HospitalUniversity of Northern British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsOsteopetrosisMedicineNonunionOssificationOsteoclastSurgeryMetatarsal bonesBone healingOsteosclerosisRadiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

CASE: Osteopetrosis is a genetic condition that impairs bone turnover as the result of defects in osteoclast function and abnormal ossification of bone. Autosomal dominant osteopetrosis is often mild; however, the impaired fracture healing, increased density, and hardness of osteopetrotic bone present technical challenges for surgeons leading to complications with both nonoperative and operative treatment modalities. In this case report, we describe a patient treated empirically with ultrasonic bone stimulation for nonunion of fractures of multiple metatarsals after a failure of conventional therapy. CONCLUSION: Ultrasonic bone stimulation may have a role in optimizing nonoperative management of osteopetrosis-related fractures in adults.

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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.248
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 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
Published2021
Admission routes1
Has abstractyes

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