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Record W2989294902 · doi:10.2337/db19-558-p

558-P: Rate of Progression of Utah Early Neuropathy Symptom Score in Diabetic Neuropathy

2019· article· en· W2989294902 on OpenAlexaboutno aff
J. Robinson Singleton, Peter Hauer, Cathy Revere, Stormy C. Foster-Palmer, Adrienne Aperghis, A. Gordon Smith

Bibliographic record

VenueDiabetes · 2019
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetic neuropathyNerve fiberDiabetes mellitusPeripheral neuropathySural nerveNerve conduction velocityInternal medicineSurgeryAnatomyEndocrinology

Abstract

fetched live from OpenAlex

The Utah Early Neuropathy Scale (UENS) is a brief, validated exam scale focused on injury to small diameter nociceptive fibers. Twenty-four of 42 possible points are related to measurement of length dependent loss of pin sensation in legs and feet. While the UENS has been accepted as a standard clinical measure for diagnosis of small fiber neuropathy, its utility as a primary outcome measure in clinical trials has not been evaluated. Here we report natural history progression of the UENS. In an NIDDK DP3 single center study, 190 patients with diabetes were screened for neuropathy using Toronto criteria, then 83 found to have neuropathy were followed longitudinally at 9-month intervals for up to 27 months using a variety of clinical and ancillary measures, including the UENS. Among those with neuropathy, baseline UENS score significantly correlated with scores of symptom questionnaires including the Norfolk Quality of Life-Diabetes Neuropathy (NQoL-DN) and the NTSS-6; with nerve conduction study measures including sural sensory amplitude, peroneal amplitude and proximal conduction velocity; with intraepidermal nerve fiber density (IENFD) from distal thigh and distal leg 3m punch skin biopsies; but not with confocal corneal microscopy measures of nerve fiber length and density. Overall, 75 participants were followed for 9 months, and 56 for at least 18 months for a total of 149 9-month segments. UENS worsened (increased) 1.08 (+/- StDev 3.51) points per 9-month segment overall. For those followed at least 18 months, there was a 2.2 (+/-4.1) point increase over this period. Change in UENS significantly correlated with change in NQoL-DN and IENFD, among other measures. The UENS is an objective, responsive, validated clinical instrument for which a linear natural progression slope can be measured, and would be an appropriate primary endpoint in small fiber neuropathy clinical trials. Disclosure J. Singleton: None. P.E. Hauer: None. C. Revere: None. S.C. Foster-Palmer: None. A.B. Aperghis: None. A. Smith: Consultant; Self; Alexion Pharmaceuticals, Inc., Disarm, Regenesis. Funding National Institutes of Health (DP3DK104394)

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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