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Record W4411713782 · doi:10.4103/aam.aam_103_25

Diabetic Peripheral Neuropathy: A Clinical Study Correlating Peripheral Neuropathy with Dyslipidemia and Nerve Conduction Velocity Study in Diabetics

2025· article· en· W4411713782 on OpenAlexaboutno aff
Vikram B Vikhe, Vivek H Lapsiwala, Tejas Kore

Bibliographic record

VenueAnnals of African Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDyslipidemiaPeripheral neuropathyInternal medicineDiabetes mellitusDiabetic neuropathyNerve conduction velocityPostprandialGlycated hemoglobinEntrapment NeuropathyLipid profileGastroenterologyEndocrinologyType 2 diabetesSurgeryCarpal tunnel syndrome

Abstract

fetched live from OpenAlex

INTRODUCTION: Diabetic peripheral neuropathy (DPN) is one of the most common and debilitating complications of diabetes mellitus, affecting approximately 50% of patients with long-standing disease. While hyperglycemia is the primary driver of nerve damage, emerging evidence suggests that dyslipidemia may also contribute significantly to the development and progression of neuropathy. This study aimed to evaluate the clinical profile, lipid abnormalities, and nerve conduction patterns in patients with DPN and to explore the potential correlations between these parameters. METHODOLOGY: This cross-sectional study included 100 diabetic patients with clinical evidence of peripheral neuropathy. Comprehensive assessment included demographic data, diabetes history, clinical examination, metabolic parameters (fasting and postprandial blood glucose, glycated hemoglobin [HbA1c], and complete lipid profile), and nerve conduction studies of upper and lower limb nerves. Neuropathy was classified as motor, sensory, or sensorimotor based on clinical and electrophysiological findings, and severity was assessed using the Toronto Clinical Neuropathy Scale. RESULTS: The study population had a slight female predominance (54%) and uniform distribution across age groups. Type 2 diabetes constituted 88% of cases, with diabetes duration ranging from <5 to 20 years. Metabolic assessment revealed poor glycemic control in most patients (99% with fasting blood sugar >126 mg/dL, 100% with postprandial blood sugar >180 mg/dL, and 84% with HbA1c >7%) and high prevalence of lipid abnormalities (88% with hypertriglyceridemia and 90% with elevated low-density lipoprotein-cholesterol). Sensory symptoms (numbness 71% and tingling 62%) predominated over motor symptoms. Sensory neuropathy was the most common type (45%), followed by sensorimotor (32%) and motor neuropathy (23%). Nerve conduction studies showed greater involvement of sensory nerves, with upper limb nerves (median and ulnar) being more frequently affected than lower limb nerves. No statistically significant associations were found between lipid parameters and neuropathy types or severity, although trends were observed. CONCLUSION: This study demonstrates a high prevalence of dyslipidemia and poor glycemic control in patients with DPN, with sensory neuropathy being the predominant type. While statistical associations between specific lipid abnormalities and neuropathy characteristics were not established, the remarkably high prevalence of lipid derangements suggests that they may contribute to the pathogenesis. A multifactorial approach to neuropathy management, addressing both glycemic control and lipid abnormalities, may be beneficial in reducing the burden of this complication.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.071
GPT teacher head0.380
Teacher spread0.309 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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