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Record W2162998466 · doi:10.1136/adc.88.9.833

Is elective high frequency oscillatory ventilation better than conventional mechanical ventilation in very low birth weight infants?

2003· review· en· W2162998466 on OpenAlexaff
S. Ismat Shah

Bibliographic record

VenueArchives of Disease in Childhood · 2003
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsMedicineHigh-frequency ventilationVentilation (architecture)Mechanical ventilationLow birth weightPediatricsBirth weightAnesthesiaPregnancyMechanical engineering

Abstract

fetched live from OpenAlex

A 26 week infant is about to be delivered by emergency caesarean section to a mother with placental abruption and fetal distress. No antenatal steroids have been administered to the mother. You are called to attend the delivery. You are setting up the equipment when the respiratory therapist suggests that we should use high frequency oscillatory ventilation (HFOV) as primary mode of ventilation. He also cites few articles suggesting benefit of high volume strategy HFOV over conventional ventilation (CV). You wonder if there is enough evidence to support the intervention. In very low birth infants with respiratory distress syndrome [patient], is elective high frequency oscillatory ventilation using high volume strategy [intervention] better than conventional mechanical ventilation [comparison] in decreasing chronic lung disease or mortality at 36 weeks corrected gestational age [outcome]? Secondary sources—Cochrane Library (Issue 4, 2002): (one relevant systematic review). Medline (1996–2002). Cochrane: “high frequency ventilation” AND “infant, newborn” OR “infant, …

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.336
Teacher spread0.312 · 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 designSystematic review
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

Citations2
Published2003
Admission routes1
Has abstractyes

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