Evidence map›Paper›PMID 39388454›Full record

ArticleInternational journal of epidemiology2024

Cumulative incidence of chronic health conditions recorded in hospital inpatient admissions from birth to age 16 in England.

Matthew A Jay, Lauren Herlitz, Jessica Deighton, Ruth Gilbert, Ruth Blackburn

Abstract read
In one paragraph

Article in International journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Matthew A JayUniversity College London Great Ormond Street Institute of Child Health, London, UK.ORCID 0000-0003-2481-7755
Lauren HerlitzUniversity College London Great Ormond Street Institute of Child Health, London, UK.
Jessica DeightonEvidence Based Practice Unit, UCL and Anna Freud Centre for Children and Families, London, UK.
Ruth GilbertUniversity College London Great Ormond Street Institute of Child Health, London, UK.
Ruth BlackburnUniversity College London Great Ormond Street Institute of Child Health, London, UK.

Funding

Children and Families Policy ResearchNational Institute for Health and Care Research
6 · The paper itself

Abstract

backgroundMonitoring the incidence of chronic health conditions (CHCs) in childhood in England, using administrative data to derive numerators and denominators, is challenged by unmeasured migration. We used open and closed birth cohort designs to estimate the cumulative incidence of CHCs to age 16 years.

methodsIn closed cohorts, we identified all births in Hospital Episode Statistics (HES) from 2002/3 to 2011/12, followed to 2018/19 (maximum age 8 to 16 years), censoring on death, first non-England residence record or 16th birthday. Children must have linked to later HES records and/or the National Pupil Database, which provides information on all state school enrolments, to address unmeasured emigration. The cumulative incidence of CHCs was estimated to age 16 using diagnostic codes in HES inpatient records. We also explored temporal variation. Sensitivity analyses varied eligibility criteria. In open cohorts, we used HES data on all children from 2002/3 to 2018/19 and national statistics population denominators.

resultsIn open and closed approaches, the cumulative incidence of ever having a CHC recorded before age 16 among children born in 2003/4 was 25% (21% to 32% in closed cohort sensitivity analyses). There was little temporal variation. At least 28% of children with any CHC had more than one body system affected by age 16. Multimorbidity rates rose with later cohorts.

conclusionsApproximately one-quarter of children are affected by CHCs, but estimates vary depending on how the denominator is defined. More accurate estimation of the incidence of CHCs requires a dynamic population estimate.

Indexed as

HospitalizationAdolescentBirth CohortChildChild, PreschoolChronic DiseaseEnglandFemaleHumansIncidenceInfantInfant, NewbornInpatientsMaleadministrative dataChronic health conditionscumulative incidencedata linkagepopulation denominatorpopulation spine

Identifiers

PMID39388454
PMCPMC11466227

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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.