Folate deficiency in an unselected population in Calgary, Alberta and its relationship with red blood cell macrocytosis
Bibliographic record
Abstract
BACKGROUND: Folate deficiency is rare in western countries and therefore blood tests for folate level have limited indications. One such indication is red cell macrocytosis, however it is unclear if the association of macrocytosis with folate deficiency is robust enough to serve as a risk marker. Our objective is to determine whether macrocytosis is a useful marker for folate deficiency. FINDINGS: Paired data from the Calgary Laboratory Services Information System was analyzed using receiver operating characteristic (ROC) curves to determine strength of association between mean corpuscular volume and serum folate. Strength of association was analyzed for serum folate cut-off values of 12, 10, 8, and 6 nmol/L. Overall, 0.2% of individuals were folate deficient (<6 nmol/L serum folate). Based on ROC curves, at each cut-off level, mean corpuscular volume was a poor predictive marker for serum folate level. CONCLUSIONS: Folate deficiency is rare in Calgary, Alberta. Macrocytosis is not a strong predictor for folate 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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".