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Record W2033519456 · doi:10.1111/apa.12285

Evolving neonatal steroid prescription habits and patient outcomes

2013· article· en· W2033519456 on OpenAlexaff
Étienne Fortin‐Pellerin, Claire Petersen, Françine Lefebvre, Keith J. Barrington, Annie Janvier

Bibliographic record

VenueActa Paediatrica · 2013
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcGill UniversityUniversité de MontréalCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineMedical prescriptionPediatricsIntensive care medicineFamily medicineNursing

Abstract

fetched live from OpenAlex

AIM: Indications for post-natal steroids among preterm infants are evolving. The objective of this study was to compare steroid use in 2 cohorts 5 years apart and to document the short- and long-term outcomes of our most recent cohort. METHODS: Retrospective chart review of infants born under 28 weeks of gestational age for two cohorts (January 2002-August 2003 and July 2008-March 2010). RESULTS: Two hundred and fourteen infants were included. More infants received steroids in the later cohort (20% vs 35%, p = 0.021) but survival rates did not improve. There was a shift towards hydrocortisone use (<7% vs 76%) and pulmonary indications (36% vs 61% of courses; p = 0.021). Patients died later (8 days vs 30 days; p = 0.02), with a strong correlation between time of death and total dose of steroids (r = 0.91; p = 0.01). Neurodevelopmental outcomes for patients who received steroids for pulmonary indications were inferior to those for the rest of the cohort (severe adverse outcome 26% vs 4.8%, p = 0.03). CONCLUSION: The improvement in short-term respiratory status of ill preterm patients was offset by a disturbing increase in age at death and no improvement in survival rates.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.600
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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