Vitamin B12 deficiency. Prevalence among South Asians at a Toronto clinic.
Bibliographic record
Abstract
OBJECTIVE: To estimate the prevalence of vitamin B12 deficiency in adult South Asian patients. DESIGN: Retrospective chart review. SETTING: Family practice clinic in Toronto, Ont. PARTICIPANTS: Records of 988 South Asian patients. INTERVENTION: Of 1000 randomly selected records, we found 988 charts. From charts with at least one documented B12 level, we extracted data on age, mean corpuscular volume (MCV), hemoglobin and ferritin levels, and diet (if available). Descriptive and analytic statistics were calculated. MAIN OUTCOME MEASURES: Levels of serum B12 and factors associated with low levels of B12. RESULTS: B12 results were documented in 49% of charts; 46% of results showed deficiency. Patients older than 65 and vegetarians were more likely to be B12 deficient. Low serum B12 levels were positively correlated with low hemoglobin and ferritin levels and poorly correlated with low MCV levels. CONCLUSION: Many more South Asian patients than patients in the general population have vitamin B12 deficiency. A vegetarian diet seems a strong risk factor. A single low result, however, might not indicate true B12 deficiency.
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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 | 0.001 | 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) | 0.003 | 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".