Long-term health outcomes of preterm birth: a narrative review
Bibliographic record
Abstract
Despite a significant reduction in neonatal mortality due to advances in neonatal care, preterm birth (PTB) continues to pose a challenge due to the escalating incidence of long-term complications, which refer to health issues that persist or emerge beyond the immediate neonatal period. The impact of PTB, particularly in extremely preterm infants born before 28 weeks of gestational age, is not confined to the early years but extends across the lifespan, influencing physical, cognitive, and social development, as well as long-term health outcomes. These complications, which often persist from childhood into adulthood, span multiple systems and create a broad spectrum of health concerns. This comprehensive narrative review of literature delves into the breadth of well-characterized long-term complications associated with PTB, including neurodevelopmental, respiratory, cardiovascular, renal, gastrointestinal, and endocrine system disorders. By providing health care providers with a holistic understanding of the potential complications following PTB, this review aims to summarize the current literature and underscore the value of long-term monitoring strategies and proactive evaluations of this population. Our objective is to foster a clinical approach that anticipates these complications, enabling early interventions and better management of these at-risk infants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".