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Record W2117986426 · doi:10.1111/apa.13098

Macrolides do not affect the incidence of moderate and severe bronchopulmonary dysplasia in symptomatic ureaplasma‐positive infants

2015· article· en· W2117986426 on OpenAlexaff
Aravanan Anbu Chakkarapani, Bosco Paes, Sandesh Shivananda

Bibliographic record

VenueActa Paediatrica · 2015
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineBronchopulmonary dysplasiaAffect (linguistics)Incidence (geometry)UreaplasmaPediatricsDysplasiaUreaplasma urealyticumInternal medicinePregnancyGestational ageMycoplasma

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to compare the incidence of bronchopulmonary dysplasia (BPD) in symptomatic ureaplasma-positive treated preterm infants and asymptomatic preterm infants not tested or treated for ureaplasma. METHODS: A retrospective matched cohort study was conducted in a tertiary, neonatal unit between January 2007 and December 2012. Infants ≤29 completed weeks with signs and symptoms suggesting ureaplasma pneumonia who received macrolides comprised the study group. Infants ≤29 weeks without signs and symptoms not tested or treated with macrolides were the controls. Infants were mandatorily matched for gestational age ± one week or birthweight ± 100 grams. RESULTS: There were 31 infants in the study group and 62 in the control group. The baseline demographic data of both groups were similar on the whole. The incidence of moderate and severe BPD, defined by oxygen dependency or the need for continuous positive airway pressure at 36 weeks of postconceptual age, was 45.2% in the study group and 40.3% in the controls (p = 0.65). There was no significant difference in morbidities or mortality between the groups. CONCLUSION: A selective approach of treating symptomatic ureaplasma-positive preterm infants with macrolides did not affect the incidence of moderate and severe BPD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.325
Teacher spread0.299 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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