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Record W4318191082 · doi:10.1111/hdi.13061

Ultrasound‐guided cutaneous nerve chemo‐ablation for severe access site neuropathic pain—A case report

2023· article· en· W4318191082 on OpenAlexaffvenue
Aakanksha Agarwal, Timothy Murray, Nikki Craig, Mercedeh Kiaii

Bibliographic record

VenueHemodialysis International · 2023
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsProvidence Health CareUniversity of British Columbia
Fundersnot available
KeywordsMedicineHemodialysisNeuropathic painDialysisSurgeryHemodialysis accessUltrasoundAblationAnesthesiaRadiologyVascular accessInternal medicine

Abstract

fetched live from OpenAlex

Neuropathic pain at the cannulation site is challenging, both for the patient and the dialysis team. We present a case of a middle-aged man on chronic hemodialysis, who developed excruciating pain at the cannulation area without incident, limiting his dialysis sessions. Multidisciplinary collaboration allowed identification of the cutaneous nerve-the inferior lateral cutaneous nerve of the arm, relaying his pain. Subsequent ultrasound-guided phenol chemoablation resulted in the complete resolution of his pain and allowed continued use of the well-functioning fistula for dialysis.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.003
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 head0.034
GPT teacher head0.328
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

Citations0
Published2023
Admission routes2
Has abstractyes

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