Perinatal Infections and Neurodevelopmental Outcome in Very Preterm and Very Low-Birth-Weight Infants
Why this work is in the frame
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Bibliographic record
Abstract
IMPORTANCE: Perinatal infections are commonly present in preterm and very low-birth-weight (VLWB) infants and might contribute to adverse neurodevelopmental outcome. OBJECTIVE: To summarize studies evaluating the effect of perinatal infections on neurodevelopmental outcome in very preterm/VLBW infants. EVIDENCE REVIEW: On December 12, 2011, we searched Medline, PsycINFO, Embase, and Web of Knowledge for studies on infections and neurodevelopmental outcome. All titles and abstracts were assessed for eligibility by 2 independent reviewers. We also screened the reference lists of identified articles to search for additional eligible studies. Preselected criteria justified inclusion in this meta-analysis: (1) the study included infants born very preterm (≤32 weeks) and/or with VLBW (≤1500 g); (2) the study compared infants with and without perinatal infection; (3) there was follow-up using the Bayley Scales of Infant Development 2nd edition; and (4) results were published in an English-language peer-reviewed journal. The quality of each included study was assessed using the Newcastle-Ottawa Scale. FINDINGS: This meta-analysis includes 18 studies encompassing data on 13.755 very preterm/VLBW infants. Very preterm/VLBW infants with perinatal infections had poorer mental (d = -0.25; P < .001) and motor (d = -0.37; P < .001) development compared with very preterm/VLBW infants without infections. Mental development was most impaired by necrotizing enterocolitis (d = -0.40; P < .001) and meningitis (d = -0.37; P < .001). Motor development was most impaired by necrotizing enterocolitis (d = -0.66; P < .001). Chorioamnionitis did not affect mental (d = -0.05; P = .37) or motor (d = 0.19; P = .08) development. CONCLUSIONS AND RELEVANCE: Postnatal infections have detrimental effects on mental and motor development in very preterm/VLBW infants.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it