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Use of inhaled steroids to prevent bronchopulmonary dysplasia: a matter of great debate

2018· letter· en· W2902078756 on OpenAlexaff
Samira Samiee‐Zafarghandy, John N. van den Anker

Bibliographic record

VenueArchives of Disease in Childhood · 2018
Typeletter
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineBronchopulmonary dysplasiaIntensive care medicinePediatricsPregnancyGestational age

Abstract

fetched live from OpenAlex

In recent years, there has been a significant increase in the use of inhaled corticosteroids for the prevention of bronchopulmonary dysplasia (BPD) in premature infants.1 Studies have shown a decrease in the rate of BPD and need for prolonged mechanical ventilation. The largest study, to date, investigated the early use of inhaled budesonide in preterm infants and showed a significant decrease in the rate of BPD but a higher mortality rate in the exposure group.2 In this study, the causes of mortality did not differ between inhaled budesonide and placebo group, and the difference in the rate of death appeared to originate from a single centre. This increased mortality had also not been shown in any of previous trials. Nevertheless, this result warrants caution for routine early use of inhaled steroids …

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)0.005
metaresearch head score (Gemma)0.027
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0100.016
Insufficient payload (model declined to judge)0.0040.006

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 head0.027
GPT teacher head0.308
Teacher spread0.281 · 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
GenreCommentary

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
Published2018
Admission routes1
Has abstractyes

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