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Record W2421967450

Adjunct pharmacotherapy in acute lung disease in children.

2007· article· en· W2421967450 on OpenAlexaff
Niranjan Kissoon, Peter Skippen

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineHelioxMechanical ventilationIntensive care medicineRespiratory failureRespiratory distressVentilation (architecture)LungRespiratory diseaseAnesthesiaInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Mechanical ventilation, while accepted as standard therapy for critically ill infants and children with respiratory failure, has significant morbidity and mortality. While recent emphasis on low tidal volume ventilation and low airway pressures may result in decreased lung stretch and limit lung disease, adjunctive therapies have been tried to reduce the stressors of mechanical ventilation. Therapies included inhaled nitric oxide, heliox and surfactant. There are compelling physiological reasons why these drugs may be of benefit in these patients. However, our understanding of their role is hindered by studies with small numbers of patients and its use in diseases with varied pulmonary pathology. Studies have shown potential for benefit of inhaled nitric oxide in newborns with hypoxemic respiratory failure and pulmonary hypertension, surfactant in respiratory distress syndrome in preterm neonates and heliox in severe upper airway obstruction. However, the use in other respiratory conditions has led to mixed results and hence paucity of firm recommendations.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.030
GPT teacher head0.369
Teacher spread0.339 · 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
GenreEmpirical

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

Citations0
Published2007
Admission routes1
Has abstractyes

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