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Record W3106106659 · doi:10.1213/xaa.0000000000001339

Ultrasound-Guided Hydrodissection for Baxter’s Neuropathy Secondary to Plantar Fasciitis: A Case Report

2020· article· en· W3106106659 on OpenAlexaff
Rajendra Kumar Sahoo, Philip Peng, Santosh Kumar Sharma

Bibliographic record

VenueA&A Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsWomen's College HospitalUniversity Health Network
Fundersnot available
KeywordsPlantar fasciitisMedicineHeelEntrapment NeuropathyCalcaneusTarsal tunnel syndromeFasciitisSurgeryUltrasoundEntrapmentEtiologyMagnetic resonance imagingRadiologyAnatomyPathology

Abstract

fetched live from OpenAlex

Plantar heel pain is a common pain condition encountered in clinical practice. The common etiologies include plantar fasciitis, calcaneal spur, calcaneus stress fracture, systemic causes, and trauma. Neurogenic causes, including entrapment at the tarsal tunnel or Baxter's nerve entrapment, can contribute to the heel pain and should not be overlooked. In this case report, we describe a patient with severe heel pain, presenting with overlapping features of plantar fasciitis and neuropathic pain. Magnetic resonance imaging suggested Baxter's nerve entrapment, and a subsequent ultrasound-guided hydrodissection of Baxter's nerve provided long-lasting pain relief.

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)0.003
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0060.003
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 head0.035
GPT teacher head0.329
Teacher spread0.294 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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