Evidence map›Paper›PMID 23118853›Full record

ArticlePloS one2012

Risk of maltreatment-related injury: a cross-sectional study of children under five years old admitted to hospital with a head or neck injury or fracture.

Joseph Jonathan Lee, Arturo Gonzalez-Izquierdo, Ruth Gilbert

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Child maltreatment in Dubai and the Northern United Arab Emirates: dental hygienists and assistants' knowledge.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2021
    Article
  4. 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

3 authors.

Joseph Jonathan LeeInstitute of Child Health, University College London, London, United Kingdom.
Arturo Gonzalez-Izquierdo
Ruth Gilbert

Funding

Department of HealthMedical Research Council G0400546Multiple Sclerosis Society 898
6 · The paper itself

Abstract

objectivesTo determine the predictive value and sensitivity of demographic features and injuries (indicators) for maltreatment-related codes in hospital discharge records of children admitted with a head or neck injury or fracture.

methodsSTUDY

designPopulation-based, cross sectional study.

settingNHS hospitals in England. SUBJECTS: Children under five years old admitted acutely to hospital with head or neck injury or fracture. DATA SOURCE: Hospital Episodes Statistics, 1997 to 2009.

main outcome measureMaltreatment-related injury admissions, defined by ICD10 codes, were used to calculate for each indicator (demographic feature and/or type of injury): i) the predictive value (proportion of injury admissions that were maltreatment-related); ii) sensitivity (proportion of all maltreatment-related injury admissions with the indicator).

resultsOf 260,294 childhood admissions for fracture or head or neck injury, 3.2% (8,337) were maltreatment-related. With increasing age of the child, the predictive value for maltreatment-related injury declined but sensitivity increased. Half of the maltreatment-related admissions occurred in children older than one year, and 63% occurred in children with head injuries without fractures or intracranial injury.

conclusionsHighly predictive injuries accounted for very few maltreatment-related admissions. Protocols that focus on high-risk injuries may miss the majority of maltreated children.

Indexed as

Child AbuseCraniocerebral TraumaNeck InjuriesChildChild, PreschoolCross-Sectional StudiesEnglandFemaleFractures, BoneHospitalizationHospital RecordsHumansInfantInternational Classification of DiseasesMalePatient Discharge

Identifiers

PMID23118853
PMCPMC3485294

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.