Effect of zinc deficiency on cognitive function in females with iron deficiency anemia
Bibliographic record
Abstract
Iron deficiency and zinc deficiency are known to disturb cognitive functions especially in infants and preschool children. Our purpose was to evaluate the effect of zinc deficiency and iron deficiency on cognitive function (with Montreal Cognitive Assessment [MoCA] score) in females. We designed a randomized controlled prospective study. 41 iron deficient female patients and 40 healthy volunteers were involved in the study. The average MoCA score ± SD was 24,63 ± 4,3 (range 11–30) in iron deficiency anemia (IDA), and 27.43± 2.02 (23-30) in healthy volunteers. Zinc level was 97.06 (40.8–146.8) mg/dl and 257.5 (128.2–463.7) in IDA and healthy volunteers respectively. MoCA score (r= 0.803, p<0,01), were significantly correlated with Zinc level in iron deficient group. We found that there was a statistically important linear relationship between MoCA score and zinc level in female patients with iron deficiency anemia.
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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 | 0.001 |
| 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) | 0.002 | 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".