SynthesisJournal of paediatrics and child health2025
Risk Factors for Severe Bronchiolitis in Australian and Aotearoa New Zealand Infants: A Systematic Review.
Synthesis in Journal of paediatrics and child health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk Factors for Severe Bronchiolitis in Australian and Aotearoa New Zealand Infants: A Systematic Review.Journal of paediatrics and child health · 2025Pooled it
- The Impact of Limited-Eligibility Nirsevimab on Paediatric Respiratory Syncytial Virus (RSV) Infection and Hospitalisations in the Australian Capital Territory: An Observational Cohort Study.Journal of paediatrics and child health · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
aimBronchiolitis is the leading cause of hospital admission in Australasian infants. Infants with risk factors for severe disease may have a greater likelihood of prolonged hospitalisation and intensive care admission. This study aimed to synthesise the literature on risk factors for severe bronchiolitis in Australasian infants.
methodsSystematic review including observational studies of risk factors for severe bronchiolitis in Australasian infants (< 12 months), published from 2000. Databases were searched (24 January 2024): MEDLINE, EMBASE, PubMed, Cochrane Library and CINAHL. Risk of bias (RoB) was assessed using the Newcastle-Ottawa Scale for cohort studies, and evidence quality was evaluated using GRADE. Results were narratively synthesised.
resultsTen out of 26 467 articles were included (N = 895 276; 12 cohorts, prospective = 5, retrospective = 7). Studies were mostly rated low RoB. There was evidence for the following risk factors: younger chronological age, prematurity, plural birth, comorbidity (chronic lung disease, congenital heart disease, chronic neurological disease, any genetic disorder, any comorbidity), Indigenous ethnicity, economic disadvantage, tobacco smoke exposure and timing of illness onset at presentation. Most risk factors had moderate-quality evidence (range high to very low). Evidence was lacking for the following risk factors present in international literature: breastfeeding exposure and faltering growth. The following risk factors have not been reported in Australasian infants: trisomy-21, congenital diaphragmatic hernia and environmental pollutants.
conclusionsRisk factors for severe bronchiolitis in Australasian infants are largely consistent with the international literature, although evidence is lacking for some. Knowledge of these risk factors is highly relevant to those assessing infants with bronchiolitis, and in guiding targeted delivery of respiratory syncytial virus immunisation and other preventative programmes.
trial registrationPROSPERO (CRD42023463917).
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Registered trials
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.