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Record W2916829554 · doi:10.1097/mop.0000000000000610

Oxygen and preterm infant resuscitation: what else do we need to know?

2018· review· en· W2916829554 on OpenAlexaff
Ju Lee Oei, Ola Didrik Saugstad, Máximo Vento

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2018
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMedicineFraction of inspired oxygenIntensive care medicineRandomized controlled trialResuscitationIntraventricular hemorrhageBronchopulmonary dysplasiaPulse oximetryOxygen deliveryNeonatal resuscitationPediatricsEmergency medicineAnesthesiaMechanical ventilationGestational ageSurgeryOxygenPregnancy

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To evaluate current evidence for the use of lower or higher oxygen strategies for preterm infant resuscitation RECENT FINDINGS: The equipoise for using higher fraction of inspired oxygen (FiO2) (>0.4) to initiate preterm infant respiratory stabilization has been lost. Recent meta-analyses of randomized controlled trials assessing outcomes after using higher (FiO2 ≥ 0.6) vs. lower (FiO2 ≤ 0.3) oxygen strategies to initiate preterm resuscitation shows no difference in the rates of death or major morbidities. However, not achieving pulse oximetry saturations of at least 80% by 5 min of age, whether it was due to iatrogenic oxygen insufficiency or poor infant pulmonary function, was associated with lower heart rates (mean difference -8.37, 95% confidence interval: -15.73, -1.01) and major intraventricular hemorrhage. There remains scarce neurodevelopmental data in this area and information about the impact of oxygen targeting strategies in low resourced areas. These knowledge gaps are research priorities that must be addressed in large, well designed randomized controlled trials. SUMMARY: Most clinicians now use lower oxygen strategies to initiate respiratory support for all infants, including preterm infants with significant lung disease. However, the impact of such strategies, particularly for neurodevelopmental outcomes and for lower resourced areas, remains uncertain and must be urgently addressed.

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 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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.155
GPT teacher head0.476
Teacher spread0.320 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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