ASSESSMENT OF VITAMIN B-12 DEFICIENCY IN TYPE-II DIABETICS USING METFORMIN
Bibliographic record
Abstract
Objective: To assess the vitamin B-12 Deficiency in type-II diabetics using Metformin. Material and method: This cross-sectional study was conducted at Department of Chemical Pathology, Sheikh Zaid Hospital, Rahim Yar Khan from March 2019 to September 2019 over the period of 6 months. Total 92 patients with type II diabetes mellitus using metformin were selected for this study. Vitamin B12 deficiency was assessed in selected patients. Results: In this cross-sectional study total 92 patients were selected. Mean Serum B-12 levels were 378.42±161.27 pg/ml and 488.90±147.02 pg/ml in metformin and non-metformin groups, respectively. The difference was statistically significant (p=0.001). The patients who were possibly deficient and definitely deficient were 15 (28.30%) and 5 (9.43%) in metformin group and were significantly more (p=0.006) than non-metformin group i.e. 4 (10.26%) and 0. The mean Toronto Neuropathy Score was statistically different (p<0.001) between metformin group (6.03±1.73) and non-metformin group (4.13±1.75). The patients who had mild neuropathy and moderate neuropathy were 23 (43.39%) and 5 (9.43%) in metformin group, while 6 (15.38%) and 2 (5.13%) in non-metformin group. Statistically, both the groups were significantly different (p=0.005). Conclusion: Findings of this study showed that metformin use for type II diabetes mellitus is strongly associated with vitamin B12 deficiency and worsening of already susceptible neuropathy. Keywords: vitamin B12, Type II diabetes mellitus, neuropathy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".