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Record W2607303566 · doi:10.1093/pch/pxx028

Long-term follow-up of cardiorespiratory outcomes in children born extremely preterm: Recommendations from a Canadian consensus workshop

2017· review· en· W2607303566 on OpenAlexafffundabout
Sherri L. Katz, Thuy Mai Luu, Anne Monique Nuyt, Thierry Lacaze, Kristi B. Adamo, Ian Adatia, Tilman Humpl, Robert P. Jankov, Theo J. Moraes, Katharina Staub, Michael K. Stickland, Bernard Thébaud

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsOttawa HospitalCovenant HealthUniversity of TorontoUniversité de MontréalHospital for Sick ChildrenStollery Children's HospitalHeart and Stroke FoundationCanadian Heart Research CentreCanadian VIGOUR CentreUniversity of AlbertaCentre Hospitalier Universitaire Sainte-JustineChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsBronchopulmonary dysplasiaMedicineCardiorespiratory fitnessMultidisciplinary approachIntensive care medicinePediatricsConsensus conferenceAmbulatoryPhysical therapyGestational agePregnancySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Bronchopulmonary dysplasia, the most common pulmonary complication of extremely preterm (EPT) birth, has longstanding multiorgan repercussions, with increasing reports of emphysema and cardiac disease in early adulthood. There are currently no clear recommendations pertaining to best practices for optimal multidisciplinary cardiorespiratory follow-up of EPT children. We report the outcomes of a 2-day consensus workshop involving a Canadian panel of 31 multidisciplinary experts with the goal of improvement and standardization of the cardiopulmonary follow-up care of EPT infants (i.e., born at <28 weeks' gestation), from neonatal discharge to mid childhood. The most relevant and important clinical outcomes to evaluate were identified. Practical aspects of integrating cardiopulmonary follow-up into ambulatory care clinics were explored. This article summarizes the discussions from this workshop and provides the panel's recommendations for clinical follow-up and research priorities.

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 imitation

Not 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.

metaresearch head score (Codex)0.034
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0050.005
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0060.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.128
GPT teacher head0.426
Teacher spread0.299 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations15
Published2017
Admission routes3
Has abstractyes

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