Evidence map›Paper›PMID 42523323›Full record

ArticlebioRxiv : the preprint server for biology2026

Perinatal exposures and upper respiratory tract microbiome composition are associated with age at first acute otitis media episode.

Corbin R Hite, Congwen Zhao, Kate Hoffman, Jillian H Hurst

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Corbin R HiteNicholas School of the Environment, Duke University, Durham, North Carolina, USA.
Congwen ZhaoDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
Kate HoffmanNicholas School of the Environment, Duke University, Durham, North Carolina, USA.
Jillian H HurstNicholas School of the Environment, Duke University, Durham, North Carolina, USA.ORCID 0000-0001-5079-9920

Funding

Clinical and host microbiome features in the development of acute otitis mediaK01AI173398 · NIAID · DUKE UNIVERSITY · PI Jillian Heyward Hurst · 2023 to 2026
$509k
NIAID NIH HHS K01 AI173398
6 · The paper itself

Abstract

Acute otitis media (AOM) is the most common bacterial infection of childhood and the leading indication for antibiotic prescriptions and healthcare consultations globally. Colonization of the upper respiratory tract (URT) microbiome by bacterial respiratory pathogens precedes AOM episodes; however, the factors that influence colonization susceptibility and subsequent AOM are not well understood. We hypothesized that perinatal exposures, including mode of delivery, intrapartum antibiotic exposure, and infant feeding influence the composition of the URT microbiome at birth, modifying risk of AOM in infancy. We characterized the URT microbiome in nasopharyngeal swabs collected from 163 infants at birth. Swabs were generally collected within two days of delivery (median [IQR] collection time: 25 [17, 45] hours) and microbiome composition was evaluated with 16S rRNA V4 sequencing. Exposures evaluated included birth mode, intrapartum antibiotic exposures, and feeding type at hospital discharge. AOM episodes were identified through electronic health records data. We built Cox proportional hazards models to determine if perinatal exposures and/or microbiome characteristics at birth were associated with the time to first AOM episode in the first two years of life. URT microbiome diversity and composition were associated with feeding type at hospital discharge, wherein exclusive formula feeding was associated with increased diversity and the presence of

Identifiers

PMID42523323
PMCPMC13405155

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.