Diminished Need for Folate Measurements Among Indigent Populations in the Post Folic Acid Supplementation Era
Bibliographic record
Abstract
Abstract Context.—The mandated fortification of processed grains with folic acid in the United States and Canada in 1998 was intended to reduce the incidence of neural tube defects in pregnant women. The incidence of folate deficiency in most populations has declined dramatically since then. Objective.—To determine the rate of folate deficiency in a cohort of indigent patients, a population among those at highest risk for folate deficiency. Design.—Using data from 3 years (1997, 2000, and 2004), we examined results of laboratory tests for red blood cell folate ordered at 3 hospitals that predominately service the needs of indigent patients. Folate concentration cutoffs were 160 ng/mL (363.6 nmol/L) and 94 ng/mL (213 nmol/L). Results.—Using a red blood cell folate cutoff concentration of 160 ng/mL (363.6 nmol/L), the combined incidence of folate deficiency decreased from 4.8% in 1997 to 0.6% in 2004. At a cutoff of 94 ng/mL (213 nmol/L), the incidence went from 0.98% to 0.09% in 1997 and 2004, respectively. Even when the folate concentration was found to be low, the majority of these subjects did not have macrocytosis. Conclusions.—These data suggest that folate deficiency has become a rare event in the United States, and the utility of routine folate measurements for patients with anemia and/or increased mean corpuscular volume are difficult to justify.
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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 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".