Evidence map›Paper›PMID 42222360›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2026

Air pollution and the risk of bronchiolitis-related hospital admission in a birth cohort of over 400,000 children born in London.

Amal Rammah, Bianca De Stavola, Samantha Hajna, Jonathon Taylor, Glory Atilola, Joana Cruz, Steve Cunningham, Alison Macfarlane, Ai Milojevic, Pia Hardelid

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 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

10 authors.

Amal RammahPopulation, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.ORCID https://orcid.org/0000-0003-0659-7680
Bianca De StavolaPopulation, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Samantha HajnaDepartment of Health Sciences, Brock University, St Catharines, Ontario, Canada.
Jonathon TaylorDepartment of Civil Engineering, Tampere University, Tampere, Finland.
Glory AtilolaPopulation, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Joana CruzPopulation, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Steve CunninghamDepartment of Child Life and Health, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh, United Kingdom.
Alison MacfarlaneCentre for Maternal and Child Health Research, School of Health and Medical Sciences, City St George's, University of London, London, United Kingdom.
Ai MilojevicDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Pia HardelidPopulation, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution exposure in early life may be associated with an increased risk of bronchiolitis in children, but evidence for long-term exposures (over weeks or months) is limited. We estimated associations between fine particulate matter (PM

Indexed as

air pollutionbronchiolitislower respiratory tract infectionsNO2PM2.5time-varying

Identifiers

PMID42222360
PMCPMC13221123

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.