Evidence map›Paper›PMID 33239272›Full record

ArticleBMJ (Clinical research ed.)2020

Gestational age and hospital admissions during childhood: population based, record linkage study in England (TIGAR study).

Victoria Coathup, Elaine Boyle, Claire Carson, Samantha Johnson, Jennifer J Kurinzcuk, Alison Macfarlane, Stavros Petrou, Oliver Rivero-Arias, Maria A Quigley

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  5. Timing of Term Births and Associated Mortality Risks: Ecological Analysis Across 28 European Countries.BJOG : an international journal of obstetrics and gynaecology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Victoria CoathupNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FL, UK victoria.coathup@npeu.ox.ac.uk.ORCID 0000-0003-0557-6757
Elaine BoyleDepartment of Health Sciences, University of Leicester, Leicester, UK.
Claire CarsonNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FL, UK.
Samantha JohnsonDepartment of Health Sciences, University of Leicester, Leicester, UK.
Jennifer J KurinzcukNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FL, UK.
Alison MacfarlaneDepartment of Health Sciences, City University, London, UK.
Stavros PetrouNuffield Department of Primary Care Health, University of Oxford, UK.
Oliver Rivero-AriasNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FL, UK.
Maria A QuigleyNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FL, UK.

Funding

Department of Health 12/136/93Medical Research Council MR/M01228X/1
6 · The paper itself

Abstract

objectiveTo examine the association between gestational age at birth and hospital admissions to age 10 years and how admission rates change throughout childhood.

designPopulation based, record linkage, cohort study in England.

settingNHS hospitals in England, United Kingdom.

participants1 018 136 live, singleton births in NHS hospitals in England between January 2005 and December 2006.

main outcome measuresPrimary outcome was all inpatient hospital admissions from birth to age 10, death, or study end (March 2015); secondary outcome was the main cause of admission, which was defined as the World Health Organization's first international classification of diseases, version 10 (ICD-10) code within each hospital admission record.

results1 315 338 admissions occurred between 1 January 2005 and 31 March 2015, and 831 729 (63%) were emergency admissions. 525 039 (52%) of 1 018 136 children were admitted to hospital at least once during the study period. Hospital admissions during childhood were strongly associated with gestational age at birth (<28, 28-29, 30-31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, and 42 weeks). In comparison with children born at full term (40 weeks' gestation), those born extremely preterm (<28 weeks) had the highest rate of hospital admission throughout childhood (adjusted rate ratio 4.92, 95% confidence interval 4.58 to 5.30). Even children born at 38 weeks had a higher rate of hospital admission throughout childhood (1.19, 1.16 to 1.22). The association between gestational age and hospital admission decreased with increasing age (interaction P<0.001). Children born earlier than 28 weeks had an adjusted rate ratio of 6.34 (95% confidence interval 5.80 to 6.85) at age less than 1 year, declining to 3.28 (2.82 to 3.82) at ages 7-10, in comparison with those born full term; whereas in children born at 38 weeks, the adjusted rate ratios were 1.29 (1.27 to 1.31) and 1.16 (1.13 to 1.19), during infancy and ages 7-10, respectively. Infection was the main cause of excess hospital admissions at all ages, but particularly during infancy. Respiratory and gastrointestinal conditions also accounted for a large proportion of admissions during the first two years of life.

conclusionsThe association between gestational age and hospital admission rates decreased with age, but an excess risk remained throughout childhood, even among children born at 38 and 39 weeks of gestation. Strategies aimed at the prevention and management of childhood infections should target children born preterm and those born a few weeks early.

Indexed as

Gestational AgeChildChild HealthChild, PreschoolEnglandFemaleHumansInfantInfant, NewbornInfant, PrematureMaleMedical Record LinkagePatient Admission

Identifiers

PMID33239272
PMCPMC7687266

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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.