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Record W4415453543 · doi:10.1210/jendso/bvaf149.1166

SAT-643 Type 2 Diabetes Mellitus and Metformin: Double Trouble Causing Peripheral Neuropathy?

2025· article· en· W4415453543 on OpenAlexaboutno aff
Jaya M Pathak, Nritya Brijesh Trivedi, Apurva Patel, Anushri Parikh, Aayushi J. Rajani, Arpita Patel

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMetforminPeripheral neuropathyVitamin B12Type 2 Diabetes MellitusDiabetes mellitusMean corpuscular volumeType 2 diabetes

Abstract

fetched live from OpenAlex

Abstract Disclosure: S.B. Karatela: None. J.M. Pathak: None. N.B. Trivedi: None. K.P. Shah: None. D.J. Shah: None. A.G. Patel: None. A. Parikh: None. A.J. Rajani: None. A. Patel: None. Type 2 diabetes mellitus (T2DM) is a growing global health concern, with complications like peripheral neuropathy (PN), retinopathy, and nephropathy affecting patients' quality of life. Metformin, the first-line oral treatment, is linked to vitamin B12 deficiency, which can cause hematologic abnormalities and worsen diabetic PN. While well-documented, this association remains underexplored in India, particularly regarding neuropathy severity and metformin dosage/duration. Given the high cost of serum vitamin B12 testing, we also aimed to evaluate hematologic (mean corpuscular volume, MCV) and clinical (Toronto clinical neuropathy score, TCNS) parameters as cost-effective screening tools. 92 T2DM patients (46 metformin users and 46 non-users) were assessed. Primary outcomes included vitamin B12 deficiency and PN, while secondary outcomes evaluated MCV and clinical PN as screening tools. Neuropathy was staged using TCNS. Statistical analysis was conducted using MedCalc version 20.210, with two-tailed p<0.05 considered significant. Results showed no significant difference in mean vitamin B12 levels between metformin users (410.78±558.86) and non-users (479.84±618.85), p=0.61. However, metformin users were 1.6 times more likely to develop PN (RR=1.6, 95% CI=1.09-2.34, p=0.015), with significantly higher rates of severe neuropathy (X2(3, N=92)=8.334, p=0.039). No significant correlation was found between metformin duration and vitamin B12 levels or neuropathy severity, but metformin dose significantly correlated with TCNS scores, explaining 9.9% of the variation (R2=0.099, F(1,44)=4.86, p=0.03). MCV as a screening tool for vitamin B12 deficiency showed sensitivity (2.2%, 95% CI: 0.1-11.5), specificity (100%, 95% CI: 92.3-100), and an overall accuracy of 51.1%. TCNS demonstrated sensitivity (56.5%, 95% CI: 41.1-71.1), specificity (43.5%, 95% CI: 28.9-58.9), and an overall accuracy of 50%. While metformin did not significantly lower vitamin B12 levels, this may be due to the study’s limited power. However, metformin use was significantly associated with PN development and severity in a dose-dependent manner. The low sensitivity of MCV and TCNS limits their utility as screening tools for B12 deficiency. A larger trial or meta-analysis is needed to confirm these findings and assess causality. Clinicians should monitor vitamin B12 levels to prevent PN progression in diabetic patients on long-term metformin therapy. Presentation: Saturday, July 12, 2025

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.274
Teacher spread0.260 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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