Evidence map›Paper›PMID 40187758›Full record

ArticleBMJ paediatrics open2025

Predictors of persisting symptoms after concussion in children following a traumatic brain injury: a longitudinal retrospective cohort study.

Rebecca Wilson, Joni Jackson, Kate Birnie, Sharea Ijaz, Matthew Booker, Alex Burrell, Giles Haythornthwaite, Jialan Hong, Mark D Lyttle, Lucy Pocock and 6 more

Abstract read
In one paragraph

Article in BMJ paediatrics open, 2025. 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. Incidence, risk factors and outcomes of persistent post-concussion symptoms in Singaporean school-going children.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    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

16 authors.

Rebecca WilsonNIHR ARC West, Bristol, UK rebecca.wilson@bristol.ac.uk.ORCID http://orcid.org/0000-0003-4709-7260
Joni JacksonNIHR ARC West, Bristol, UK.
Kate BirniePopulation Health Sciences, University of Bristol, Bristol, UK.
Sharea IjazNIHR ARC West, Bristol, UK.ORCID http://orcid.org/0000-0001-5727-1790
Matthew BookerCentre for Academic Primary Care, University of Bristol Medical School, Bristol, UK.
Alex BurrellPopulation Health Sciences, University of Bristol, Bristol, UK.
Giles HaythornthwaiteBristol Royal Hospital for Children Paediatric Emergency Department, Bristol, UK.
Jialan HongNIHR ARC West, Bristol, UK.
Mark D LyttleBristol Royal Hospital for Children Paediatric Emergency Department, Bristol, UK.
Lucy PocockCentre for Academic Primary Care, University of Bristol Medical School, Bristol, UK.
Lauren J ScottNIHR ARC West, Bristol, UK.
Cathy WilliamsPopulation Health Sciences, University of Bristol, Bristol, UK.
Ingram WrightUniversity of Bristol School of Clinical Science, Bristol, UK.
Jelena SavovicNIHR ARC West, Bristol, UK.
Julie MyttonCentre for Public Health and Wellbeing, University of the West of England, Bristol, UK.
Maria Theresa RedanielPopulation Health Sciences, University of Bristol, Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify predictors of persisting symptoms after concussion (PSaC) in children, following any medically attended traumatic brain injury (TBI).

designRetrospective cohort study.

settingLinked primary and secondary care data from UK Clinical Practice Research Datalink and Hospital Episode Statistics.

participantsChildren aged 1-17 years with a medically attended TBI between 2013 and 2017.

main outcome measureA binary indicator of PSaC or suspected PSaC, measured using either a clinical code for PSaC or medical attendances for one or more PSaC symptoms 3-12 months after TBI.

resultsWe identified 137 873 children with a TBI; 4620 (3.4%) had PSaC or suspected PSaC. More females (3.8%) had PSaC than males (3.1%). Those with PSaC were older at the time of TBI compared with those without PSaC (8 vs 5.5 years). In a multivariable logistic regression model, older age (OR =1.02 per year increase in age, 95% CI 1.01 to 1.03), female sex (OR=1.20, 95% CI 1.13 to 1.28), being Asian (OR=1.37, 95% CI 1.22 to 1.54) or mixed ethnicity (OR=1.18, 95% CI 1.01 to 1.37) (compared with white ethnicity), having a history of headaches (OR=3.52, 95% CI 3.13 to 3.95), learning disabilities (OR=2.06, 95% CI 1.69 to 2.52), ADHD (OR=2.41, 95% CI 1.91 to 3.04), anxiety (OR=2.58, 95% CI 2.18 to 3.05), depression (OR=4.00, 95% CI 3.28 to 4.89) or sleep disorders (OR=2.35, 95% CI 1.99 to 2.78) were associated with increased odds of PSaC.

conclusionsThese results may be used to identify children more likely to develop PSaC following a TBI and those who may benefit from targeted healthcare for PSaC symptoms. Identifying cases of PSaC in primary care data was challenging as perhaps many children do not attend services for suspected PSaC or, if they did, are not diagnosed with PSaC. Furthermore, the clinical predictors are a measure of healthcare access for these symptoms; thus, results could be influenced by patient or carer's health-seeking behaviour.

Indexed as

Brain ConcussionBrain Injuries, TraumaticPost-Concussion SyndromeAdolescentChildChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleRetrospective StudiesRisk FactorsSex FactorsUnited KingdomAdolescent HealthChild Health

Identifiers

PMID40187758
PMCPMC11973773

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.