Detectable levels of unmetabolized folic acid in Canadian pregnant women
Bibliographic record
Abstract
Unmetabolized folic acid (UMFA) in the circulation has been purported to mediate some adverse health outcomes associated with high folic acid (FA) intake. FA supplementation and mandatory FA fortification have significantly increased folate intake and blood levels in Canada. Furthermore, women are advised to take FA supplements before and during pregnancy to prevent neural tube defects. There is limited information regarding the prevalence and level of UMFA in pregnant women consuming FA containing supplements in the postfortification era. We determined the relationship between plasma UMFA and dietary folate intake, FA supplement use and folate blood measurements in 344 Canadian pregnant women participating in the prospective PREFORM Study at 11–16 wks gestation. 90% women reported FA supplement use (≥1mg FA/d) during the first trimester. UMFA determined by LC‐MS/MS was detected in 98% of participants, with a median(range) of 1.17(0.07–244.05nmol/L). UMFA represented 2.7% of total serum folate. Plasma UMFA was correlated with supplemental FA (r s =0.19, p=0.001), serum (r s =0.62, p<0.01) and RBC (r s =0.17, p=0.001) folate concentrations. Further studies are warranted to determine functional ramifications of detectable UMFA and their link to health outcomes of the mother and offspring. Grant Funding Source : CIHR (MOP# 106446)
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".