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Record W2948000532 · doi:10.1093/pch/pxz066.020

21 The association between early life exposure to antibiotics and antibiotics for upper respiratory tract infections in later childhood

2019· article· en· W2948000532 on OpenAlexaff
Bhavna Samtani, Natasha Gray, Jessica Omand, Charles Keown‐Stoneman, Mary Aglipay, Catherine S. Birken, Jonathon L. Maguire

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsAntibioticsRespiratory tract infectionsMedicineRespiratory tractRespiratory systemIntensive care medicinePediatricsMicrobiologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Clinical guidelines recommend avoidance of antibiotics for uncomplicated upper respiratory tract infections (URTIs) in children with the exception of acute otitis media (AOM) under two years of age. Prescription of antibiotics for URTIs in early life may set expectations for antibiotics for subsequent URTIs. The primary objective of this study was to evaluate whether early life (< 2 years of age) antibiotic prescription for URTIs at a sick visit was associated with antibiotic prescription for URTI at a sick visit in later childhood (>2 years of age). The secondary objective was to investigate whether this relationship was different for antibiotics prescribed for AOM in early life. A prospective cohort study was conducted through a large primary care practice-based research network. Generalized Estimating Equation (GEE) modeling was used to investigate the association between (i) early life (< 2 years of age) antibiotic prescription for URTIs and antibiotic prescription for URTI later in childhood (> 2 years of age); and (ii) early life exposure to antibiotic prescription for AOM vs. non-AOM URTIs and antibiotic receipt for URTIs later in childhood. 2380 children were included in the study, of which 653 (27%) had received an antibiotic for URTI before two years of age. Children who received an antibiotic for URTI under 2 years of age had higher odds of receiving antibiotics for URTI after two years of age (adjusted OR per visit: 1.40; 95% CI: 1.20, 1.64; p<0.001). Children who received an antibiotic for AOM under 2 years of age also had higher odds of receiving antibiotics for URTI after two years of age (adjusted OR per visit: 1.46; 95% CI: 1.23, 1.74; p<0.001). No statistically significant association was found between exposure to antibiotics prescription for non-AOM URTI under 2 years of age and antibiotics for URTI per visit after 2 years of age (p=0.24). Early life antibiotic prescription for URTI, including AOM, may increase the risk of antibiotic prescription for subsequent URTIs. While the reasons for this association are likely multifactorial, setting expectations for antibiotics for URTI in early life may play a role. Avoidance of antibiotic prescribing for URTIs in early life may help curtail antibiotic use for URTIs in later childhood. Future research is needed to minimize antibiotic prescription when it might not be necessary, particularly early in life.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.339
Teacher spread0.317 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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