Liveborn children with trisomy 18: A scoping review
Bibliographic record
Abstract
BACKGROUND: There have been an increasing number of publications related to trisomy 18 associated with a shift in the philosophy of care. The objective of this review is to understand the scope of contemporary literature informing the care of children born alive with trisomy 18. METHODS: Included was peer-reviewed, primary literature in MEDLINE, Embase, CINAHL, Scopus, Web of Science, and Cochrane Library from 2012 to 2023 reporting outcomes of children born alive with trisomy 18. Data extraction involved descriptive statistics of the types of studies, and an inductive thematic analysis of the questions addressed by the studies. RESULTS: Of 4628 records identified, 229 met inclusion criteria. Key themes were organized around the domains: What is trisomy 18? What are the chances of survival with trisomy 18? What can be done to improve the chances of survival with trisomy 18? How do children with trisomy 18 die? Do surgical interventions provide a benefit? Are there non-surgical options? What knowledge is informing medical management? How is life described for children with trisomy 18? What are children with trisomy 18 like as babies and as they get older? What is life like for families caring for children with trisomy 18? CONCLUSIONS: A sizeable number of publications grouped trisomy 18 with other syndromes. Relatively few showed the longitudinal evolution of medical issues associated with trisomy 18, nor did they unfold the clinical heterogeneity of this population. This review shows the limited knowledge base guiding decision-making and care for children born alive with trisomy 18.
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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 | 0.009 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.018 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".