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Record W1981322022 · doi:10.3810/psm.2009.04.1688

Clinical Examination of Scaphoid Fractures

2009· review· en· W1981322022 on OpenAlexaff
Darryl Young, A. Alan Giachino

Bibliographic record

VenueThe Physician and Sportsmedicine · 2009
Typereview
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsWestern UniversityUniversity of OttawaHand and Upper Limb Clinic
Fundersnot available
KeywordsMedicineScaphoid fractureAvascular necrosisPhysical examinationOccultWristLunateRadiographyMalunionScaphoid boneLigamentScapholunate ligamentRadiologyNonunionSurgery

Abstract

fetched live from OpenAlex

Undetected scaphoid fractures may lead to complications, including nonunion, malunion, avascular necrosis, and wrist arthritis. A competent physical examination is essential for the diagnosis of scaphoid fractures in the setting of occult fractures presenting with normal radiographs. The differential diagnosis of occult scaphoid fractures includes acute tears of the scaphoid-lunate ligament, Kienbock's disease, occult ganglion, nondisplaced radial styloid fractures, and injury to the radial aspect of the radio-scapho-capitate ligament. All of these may have normal plain radiographs but often can be distinguished based on physical examination findings. The 2 key points of such an examination include the exact location of point tenderness and provocative special tests. Although Watson's scaphoid shift test is classically described for scaphoid instability, we highlight its significance in the setting of scaphoid fractures.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.041
GPT teacher head0.393
Teacher spread0.351 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

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