Impact of Growth Restriction and Other Prenatal Risk Factors on Cord Blood Iron Status in Prematurity
Bibliographic record
Abstract
OBJECTIVE: To determine whether prenatal risk factors (RFs) that predict cord blood iron status in term newborns also predict iron status of premature newborns. STUDY DESIGN: Cord blood iron indices from 80 preterm newborns were compared with historical and demographic RFs for developing iron deficiency if born at term. RESULT: The presence of multiple RFs did not incrementally interfere with cord iron status in preterm newborns. Poorer iron status accompanied being small for gestational age in prematurity, but other RFs, including diabetes, had relatively little impact. CONCLUSION: Growth-restricted preterm newborns are at risk for poor iron endowment, likely due to uteroplacental insufficiency. Other RFs were less impactful on iron status of premature newborns than in term newborns, likely reflecting that disruptive effects of RFs are more impactful in the third trimester. Understanding RFs for poor iron endowment is important for clinical recognition and treatment of premature babies.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".