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Record W3021103177 · doi:10.1017/cjn.2020.88

Ischemic Monomelic Neuropathy: The Case for Reintroducing a Little-Known Term

2020· article· en· W3021103177 on OpenAlexaffvenue
Paul Winston, Dannika Bakker

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2020
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsDalhousie UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineSurgeryDenervationVascular diseasePeripheral neuropathyHemodialysisIschemiaEdemaOcclusionWeaknessPeripheralPolyneuropathyAnesthesiaCardiologyInternal medicineDiabetes mellitus

Abstract

fetched live from OpenAlex

Ischemic monomelic neuropathy (IMN) is a little-known, painful axonal neuropathy, secondary to vascular occlusion or steal phenomenon. It typically occurs after vascular bypass, hemodialysis fistulization, or diabetic microvascular disease in the absence of significant clinical features of ischemia. There is limited literature to assist in the characterization and diagnosis of this condition. We describe three patients with IMN with no surgical or peripheral vascular disease history who exhibited spontaneous, persistent foot pain, edema numbness, and weakness with denervation on needle electromyogram in a distal lower leg peripheral nerve distribution. Occlusive disease was found in all patients on angiogram, requiring vascular bypass surgery.

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)0.001
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: Commentary · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.281
Teacher spread0.231 · 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
GenreCommentary

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

Citations6
Published2020
Admission routes2
Has abstractyes

Explore more

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