The Placenta and Neurodevelopment in Preterm Newborns
Bibliographic record
Abstract
In caring for preterm neonates, a major challenge lies in understanding the contributors to brain dysmaturation and injury, both of which serve as precursors to childhood neurodevelopmental impairment. In addition to the various adverse exposures that the preterm newborn encounters in postnatal life, the placental antecedents of preterm delivery, in and of themselves, may affect brain dysmaturation and injury. The abnormal placenta is a frequent complication of pregnancy, and placental pathologies, such as placental insufficiency and acute chorioamnionitis, often precede preterm birth. Placental insufficiency is the principal cause of fetal growth restriction and acts via chronic fetal hypoxia. During fetal hypoxia, cardiac output redistribution to the brain represents an important fetal adaptive response; however, vascular sparing of the brain does not ensure normal brain growth. Early fetal growth restriction, which is associated with a hypermature and malperfused placenta, results in neurodevelopmental impairment independent of the duration of gestation in preterm newborns. Acute chorioamnionitis is characterized by infiltration of the placenta by immune cells and often results from infection that induces an inflammatory response. Chorioamnionitis can lead to the fetal inflammatory response syndrome and preterm labor, and thus can add to subsequent neonatal brain injury. Placental health should be assessed in understanding the origins of preterm brain dysmaturation and injury, and subsequent neurodevelopmental impairment.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".