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Record W1896190496 · doi:10.1002/mus.24351

Epidermal axonal swellings in painful and painless diabetic peripheral neuropathy

2014· article· en· W1896190496 on OpenAlexaff
Audrey Cheung, Peter Podgorny, Jose A. Martinez, Cynthia Chan, Cory Toth

Bibliographic record

VenueMuscle & Nerve · 2014
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsMedicinePeripheral neuropathyPeripheralDiabetic neuropathyDermatologyDiabetes mellitusInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: The pathophysiology of neuropathic pain (NeP) in diabetic peripheral neuropathy (DPN) is unclear. A potential pathological feature associated with intraepidermal nerve fiber density (IENFD) loss in DPN is axonal swellings. METHODS: We determined the prevalence of intraepidermal axonal swellings in DPN patients with or without NeP and compared the findings with diabetes patients without DPN, patients with idiopathic neuropathy with NeP, and control subjects. The primary outcome measure was the ratio of axonal swellings to IENFD. Secondary outcome measures included clinical neuropathy severity and assessment for messenger RNA for voltage-gated sodium and calcium channels. RESULTS: IENFD was depressed in DPN (with/without pain) and in idiopathic neuropathy patients. Axonal swelling ratios were similar for DPN subjects with and without pain. There was no overexpression of voltage-gated ion channels in epidermis from DPN patients. Clinical neuropathy severity was only related to IENFD. CONCLUSIONS: There was no clinical relationship to pain or clinical neuropathy severity for axonal swellings in DPN.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations31
Published2014
Admission routes1
Has abstractyes

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