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Record W4404446132 · doi:10.24908/pocus.v9i2.17393

Diagnosis of a Stress Fracture Of a Metatarsal Bone with Point of Care Ultrasound (POCUS)

2024· article· en· W4404446132 on OpenAlexvenueno aff
Alfred Doblinger

Bibliographic record

VenuePOCUS Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineForefootStress fracturesAnamnesisPhysical examinationPoint of care ultrasoundMetatarsal bonesUltrasoundHematomaSurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

The early diagnosis of stress fractures is a challenge in daily primary care practice. Point of care ultrasound (POCUS) can be helpful in the diagnosis of early signs of an incipient stress fracture. A 52-year-old woman presented with a history of chronic overuse in the left forefoot. A sonographic examination in the area of the reported pain point on the third metatarsal (consistent with a marching fracture) showed a clear accumulation of fluid, corresponding to subperiosteal hematoma. After only two weeks of resting the forefoot, a repeat examination using POCUS showed clear callus formation. This confirmed the suspected diagnosis of an early stage stress fracture. This case shows a sensible and easy-to-learn way of using POCUS in general practice. POCUS in combination with clinical examination and anamnesis is a cost-effective and timely diagnostic option without radiation exposure.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score1.000

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)0.0010.000

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 head0.006
GPT teacher head0.272
Teacher spread0.266 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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