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Record W4210252056 · doi:10.7860/jcdr/2021/51604.15663

A Cross-sectional Study on Prevalence of Vitamin B12 Deficiency and Peripheral Neuropathy between Metformin Users and Non Users in Participants with Type 2 Diabetes Mellitus

2021· article· en· W4210252056 on OpenAlexaboutno aff
Jayashankar CA, RashikaSah, Venkata Bharat Kumar Pinnelli, Sourabh Hiremath, Dwarakanathan Vignesh, Obulapu Supraja

Bibliographic record

VenueJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMetforminMedicinePeripheral neuropathyDiabetes mellitusInternal medicineVitamin B12Type 2 Diabetes MellitusType 2 diabetesCross-sectional studyEndocrinologyPathology

Abstract

fetched live from OpenAlex

Introduction: Metformin is a first line drug for treatment of Type 2 Diabetes Mellitus (T2DM) which acts by decreasing insulin resistance. Metformin use can lead to vitamin B12 deficiency. Aim: To evaluate the difference in proportion of vitamin B12 deficiency and clinical neuropathy between metformin users and metformin non users in patients with T2DM. Materials and Methods: This cross-sectional study was conducted at Department of General Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bengaluru, Karnataka, India, from Jul 2015 to June 2017. Hundred patients with T2DM were recruited in the study, and divided into two groups i.e., T2DM patients on metformin (n=50) and without metformin (n=50). One group were patients of diabetes who were on metformin for more than three years, and the other group were those who had not taken metformin in last three months. All participants were evaluated with serum vitamin B12. Toronto Clinical Neuropathy (TCN) score was used to diagnose peripheral neuropathy. Multivariable logistic regression was done to look for association between metformin use and vitamin B12 deficiency and peripheral neuropathy separately. Results: Between the metformin users and non metformin user group, the proportion of males (72% vs 66%, p-value=0.66) and the age (56.02±9.19 vs 56.16±8.33 years, p-value=0.93) were similar in both groups. Median duration of diabetes among metformin users was 10.18 years (IQR=6.68-16.68 year) and non metformin user group was 7.68 years (IQR=5.68-12.68 year). There was a significantly higher prevalence of vitamin B12 deficiency in metformin users (38,76%) than non metformin users (21,42%). The prevalence of vitamin B12 deficiency was highest (11,100%) in those with metformin use for more than 15 years. Association of vitamin B12 deficiency in metformin users was significant {(OR=7.17 (2.46-20.92), p-value <0.001}. Peripheral neuropathy assessed by TCN scoring was significantly more common in metformin users (37,74% vs 23,46%; p-value=0.004). Conclusion: This study reports high prevalence of vitamin B12 deficiency in T2DM patients with significantly higher prevalence among metformin users. Peripheral neuropathy was significantly more common in metformin users and was associated with vitamin B12 deficiency. Hence, metformin treated T2DM patients, especially those with peripheral neuropathy should be evaluated for vitamin B12 deficiency.

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)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.441
Teacher spread0.330 · 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
Published2021
Admission routes1
Has abstractyes

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