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Record W4404542143 · doi:10.1177/19345798241302276

Liveborn children with trisomy 18: A scoping review

2024· review· en· W4404542143 on OpenAlex
Mary-Pat Schlosser, Melissa J MacPherson, Maria L. Castro‐Codesal, Cheryl Mack, Kyle Sue, Tara Wren, Larissa Shapka, Janice Y. Kung, Michael van Manen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsAlberta Health ServicesUniversity of Alberta
Fundersnot available
KeywordsTrisomyComputational biologyMedicineGeneticsBiology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.061
GPT teacher head0.392
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it