Identification of women and girls with iron deficiency in the reproductive years
Bibliographic record
Abstract
Iron deficiency (ID) is the most common micronutrient deficiency in the world. It is of concern for women and girls of reproductive age as, despite frequent normalization, excessive menstrual blood loss and the iron demands associated with pregnancy increase the risk of developing an ID. Iron deficiency reduces health-related quality of life with symptoms of fatigue, heart palpitations, difficulty concentrating, and poor mental health. When left untreated, ID can escalate to iron deficiency anemia (IDA), where there is an insufficiency of red blood cells, or hemoglobin within these cells, to meet the bodily demands for oxygen transport. Substantial guidance on screening for ID can be found in specific at-risk groups, including pregnant women and patients with renal, cardiac, and inflammatory bowel disease. However, it was unclear whether guidance is available for women of reproductive age. We performed a literature search to explore the current recommendations for screening women of reproductive age for ID. While four manuscripts supportive of screening were found, no official guidance appears to exist regarding screening for this group. In line with the World Health Organization's 10 Principles of Screening, we present a case for ID screening in women and girls of reproductive age.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".