Evidence map›Paper›PMID 36053619›Full record

ArticleBMJ paediatrics open2022

Risk factors for hospitalisation in Welsh infants with a congenital anomaly.

Peter S Y Ho, Maria A Quigley, David F Tucker, Jennifer J Kurinczuk

Open access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

Peter S Y HoNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK Peterhosy@hotmail.com.ORCID 0000-0003-4962-6808
Maria A QuigleyNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
David F TuckerPublic Health Wales, Public Health Knowledge & Research, Congenital Anomaly Register & Information Service for Wales, Public Health Wales, Swansea, UK.
Jennifer J KurinczukNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
National Institute for Health Research · GBPublic Health Wales · GBUniversity of Oxford · GB

Funding

Department of Health
6 · The paper itself

Abstract

objectivesTo investigate risk factor associated with hospitalisation of infants with a congenital anomaly in Wales, UK.

designA population-based cohort study.

settingData from the Welsh Congenital Anomaly Register and Information Service linked to the Patient Episode Database for Wales and livebirths and deaths from the Office for National Statistics. PATIENTS: All livebirths between 1999 and 2015 with a diagnosis of a congenital anomaly, which was defined as a structural, metabolic, endocrine or genetic defect, as well as rare diseases of hereditary origin.

main outcome measuresAdjusted OR (aOR) associated with 1 or 2+ hospital admissions in infancy versus no admissions were estimated for sociodemographic, maternal and infant factors using multinomial logistic regression for the subgroups of all, isolated, multiple and cardiovascular anomalies.

results25 523 infants affected by congenital anomalies experienced a total of 50 705 admissions in infancy. Risk factors for ≥2 admissions were younger maternal age ≤24 years (aOR: 1.17; 95% CI 1.06 to 1.30), maternal smoking (aOR: 1.20; 1.10 to 1.31), preterm birth (aOR: 2.52; 2.25 to 2.83) and moderately severe congenital heart defects (aOR: 6.25; 4.47 to 8.74). Girls had an overall decreased risk of 2+ admissions (aOR: 0.84; 0.78 to 0.91). Preterm birth was a significant risk factor for admissions in all anomaly subgroups but the effect of the other characteristics varied according to anomaly subgroup.

conclusionsOver two-thirds of infants with an anomaly are admitted to hospital during infancy. Our findings identified sociodemographic and clinical characteristics contributing to an increased risk of hospitalisation of infants with congenital anomalies.

Indexed as

Heart Defects, CongenitalPremature BirthAdultCohort StudiesFemaleHospitalizationHumansInfantInfant, NewbornRisk FactorsYoung Adultepidemiologyhealth services researchneonatology

Identifiers

PMID36053619
PMCPMC8845320
OpenAlexW4211132091

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.