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Record W1985188820 · doi:10.1136/ebn.8.1.9

Elective surfactant increased median duration of mechanical ventilation in preterm infants with mild to moderate respiratory distress syndrome

2005· letter· en· W1985188820 on OpenAlexaff
Bonnie Rich

Bibliographic record

VenueEvidence-Based Nursing · 2005
Typeletter
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster Children's Hospital
Fundersnot available
KeywordsMedicineRespiratory distressMechanical ventilationPediatricsVentilation (architecture)Anesthesia

Abstract

fetched live from OpenAlex

Escobedo MB, Gunkel JH, Kennedy KA, et al . Early surfactant for neonates with mild to moderate respiratory distress syndrome: a multicenter, randomized trial. J Pediatr 2004;144:804–8.[OpenUrl][1][PubMed][2][Web of Science][3] Q What is the efficacy of elective brief intubation for early single dose surfactant administration compared with administration as clinically indicated for preterm infants with mild to moderate respiratory distress syndrome (RDS) not requiring mechanical ventilation? ### ![Graphic][4] Design: randomised controlled trial. ### ![Graphic][5] Allocation: concealed. ### ![Graphic][6] Blinding: unclear if blinded. ### ![Graphic][7] Follow up period: up to discharge from hospital. ### ![Graphic][8] Setting: 5 centres in Texas, USA. ### ![Graphic][9] Patients: 136 infants with birth weights ⩾1250 g, gestational age ⩽36 completed weeks, postnatal age 4–24 hours, FIO2⩾0.40 with or without nasal continuous positive airway pressure (CPAP), RDS (based on chest radiograph and clinical presentation), no requirement for mechanical ventilation, no previous treatment with surfactant, no known cardiac or respiratory related congenital anomalies, and no anomalies … [1]: {openurl}?query=rft.jtitle%253DThe%2BJournal%2Bof%2Bpediatrics%26rft.stitle%253DJ%2BPediatr%26rft.aulast%253DEscobedo%26rft.auinit1%253DM.%2BB.%26rft.volume%253D144%26rft.issue%253D6%26rft.spage%253D804%26rft.epage%253D808%26rft.atitle%253DEarly%2Bsurfactant%2Bfor%2Bneonates%2Bwith%2Bmild%2Bto%2Bmoderate%2Brespiratory%2Bdistress%2Bsyndrome%253A%2Ba%2Bmulticenter%252C%2Brandomized%2Btrial.%26rft_id%253Dinfo%253Apmid%252F15192630%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=15192630&link_type=MED&atom=%2Febnurs%2F8%2F1%2F9.atom [3]: /lookup/external-ref?access_num=000222047900022&link_type=ISI [4]: /embed/inline-graphic-1.gif [5]: /embed/inline-graphic-2.gif [6]: /embed/inline-graphic-3.gif [7]: /embed/inline-graphic-4.gif [8]: /embed/inline-graphic-5.gif [9]: /embed/inline-graphic-6.gif

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.069
GPT teacher head0.370
Teacher spread0.301 · 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 designObservational
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

Citations1
Published2005
Admission routes1
Has abstractyes

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