Safety and tolerability of iron amino acid chelate in premenopausal women
Bibliographic record
Abstract
The objective of this study was to examine the safety and tolerability of an iron amino acid chelate 10% preparation (Ferroplex™, Biotron Laboratories, Inc., Centerville, Utah) in pre‐menopausal women. The design was a single‐center, randomized, double‐blind, three‐arm placebo‐controlled (n=60) study conducted in London, ON, Canada. Subjects were assigned to receive one of three test materials: iron amino acid chelate 10% or ferrous sulfate (600 mg capsules, each containing 25mg of elemental iron), or placebo and reported side effects/symptoms for a 7‐day period. Following supplementation, blood (fasting) was sampled for determination of complete blood count, platelets, electrolytes, glucose, blood urea nitrogen, creatinine, liver function tests, total protein and iron levels including iron ferritin, total iron binding capacity and erythrocyte protoporphyrin. The current study demonstrated the superiority of the iron amino acid chelate preparation ( Ferroplex™ ) with regard to tolerability and adverse effects compared to the ferrous sulphate preparation. The iron amino acid chelate ( Ferroplex™ ) studied was found to have significantly lower (P<0.05) adverse effects when compared to the ferrous sulphate preparation. There were no significant differences between the test products on any of the blood parameters measured. This study was sponsored by Biotron Laboratories, Inc.
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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 | 0.000 |
| 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".