Evidence map›Paper›PMID 35587337›Full record

ArticleInternational journal of epidemiology2023

Gestational age at birth, chronic conditions and school outcomes: a population-based data linkage study of children born in England.

Nicolás Libuy, Ruth Gilbert, Louise Mc Grath-Lone, Ruth Blackburn, David Etoori, Katie Harron

Abstract read
In one paragraph

Article in International journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Nicolás LibuyInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0002-0476-7642
Ruth GilbertGreat Ormond Street Institute of Child Health, University College London, London, UK.ORCID 0000-0001-9347-2709
Louise Mc Grath-LoneInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0003-0867-6673
Ruth BlackburnInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0002-3491-7381
David EtooriGreat Ormond Street Institute of Child Health, University College London, London, UK.ORCID 0000-0002-2807-6272
Katie HarronGreat Ormond Street Institute of Child Health, University College London, London, UK.ORCID 0000-0002-3418-2856

Funding

Department of HealthMedical Research Council MR/S003797/1Wellcome Trust 212953/Z/18/Z
6 · The paper itself

Abstract

introductionWe aimed to generate evidence about child development measured through school attainment and provision of special educational needs (SEN) across the spectrum of gestational age, including for children born early term and >41 weeks of gestation, with and without chronic health conditions.

methodsWe used a national linked dataset of hospital and education records of children born in England between 1 September 2004 and 31 August 2005. We evaluated school attainment at Key Stage 1 (KS1; age 7) and Key Stage 2 (KS2; age 11) and any SEN by age 11. We stratified analyses by chronic health conditions up to age 2, and size-for-gestation, and calculated population attributable fractions (PAF).

resultsOf 306 717 children, 5.8% were born <37 weeks gestation and 7.0% had a chronic condition. The percentage of children not achieving the expected level at KS1 increased from 7.6% at 41 weeks, to 50.0% at 24 weeks of gestation. A similar pattern was seen at KS2. SEN ranged from 29.0% at 41 weeks to 82.6% at 24 weeks. Children born early term (37-38 weeks of gestation) had poorer outcomes than those born at 40 weeks; 3.2% of children with SEN were attributable to having a chronic condition compared with 2.0% attributable to preterm birth.

conclusionsChildren born with early identified chronic conditions contribute more to the burden of poor school outcomes than preterm birth. Evaluation is needed of how early health characteristics can be used to improve preparation for education, before and at entry to school.

Indexed as

Infant, PrematurePremature BirthChildChild, PreschoolEnglandFemaleGestational AgeHumansInfantInfant, NewbornSchoolsacademic performancechronic conditionsEnglandGestational agespecial educational needswhole-population cohort

Identifiers

PMID35587337
PMCPMC9908051

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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.