The Effect of 12-weeks of Daily Iron Supplementation on Non-transferrin Bound Iron Concentrations in Women with a High Prevalence of Hemoglobinopathies (P10-113-19)
Bibliographic record
Abstract
Our aim was to assess serum NTBI concentrations in non-pregnant Cambodian women who received daily iron supplements (60 mg elemental iron as ferrous sulfate) in accordance with the 2016 global World Health Organization (WHO) guidelines. Serum NTBI concentration was measured with the use of the FeROS™ eLPI assay (Afferix Ltd., Israel) in fasting venous blood samples collected during a 2015 supplementation trial among predominantly anemic Cambodian women (18–45 years). Samples were randomly selected from sub-groups of women who received 60 mg daily elemental iron as ferrous sulfate (n = 50) or a placebo (n = 50) for 12-weeks. Overall, n = 17/100 (17%) of women had an elevated serum NTBI concentration (≥0.1 μmol/L) at 12-weeks; n = 9 in the Fe group and n = 8 in the placebo group. Of the n = 100 women, a total of 82% of the women were iron-replete (n = 82/100, inflammation-adjusted ferritin >15 μg/L) and 67% (n = 67/100) had some form of a hemoglobinopathy (namely, Hb E variants or α-thalassemia). Elevated serum NTBI concentration was not associated with age, iron supplementation, transferrin saturation or severe hemoglobinopathies (P >0.05). In this population of Cambodian women with a high prevalence of hemoglobinopathies, we found that daily iron supplementation was not associated with elevated serum NTBI concentrations at 12-weeks, as compared to placebo. International Life Sciences Institute (ILSI) North America.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".