Evidence map›Paper›PMID 29637431›Full record

ArticleInjury epidemiology2018

Pediatric falls ages 0-4: understanding demographics, mechanisms, and injury severities.

Sofia Chaudhary, Janet Figueroa, Salah Shaikh, Elizabeth Williams Mays, Rana Bayakly, Mahwish Javed, Matthew Lee Smith, Tim P Moran, Jonathan Rupp, Sharon Nieb

Abstract read
In one paragraph

Article in Injury epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Rates of serious injury from falls in children and adolescents: 10-year retrospective review of data from Ontario, Canada.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
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  8. Mechanisms of paediatric injury: an 11-year review of injury trends from the National Trauma Data Bank.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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  15. Understanding the circumstances of paediatric fall injuries: a machine learning analysis of NEISS narratives.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2023
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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

10 authors.

Sofia ChaudharyDivision of Emergency Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. chaudharys@email.chop.edu.
Janet FigueroaDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Salah ShaikhRollins School of Public Health, Emory University, Atlanta, GA, USA.
Elizabeth Williams MaysDepartment of Trauma and Surgical Services, Grady Health System, Atlanta, GA, USA.
Rana BayaklyGeorgia Department of Public Health, Chronic Disease, Healthy Behaviors and Injury Epidemiology Section, Atlanta, GA, USA.
Mahwish JavedSafe Kids GA, Children's Healthcare of Atlanta, Atlanta, GA, USA.
Matthew Lee SmithCenter for Population Health and Aging, Texas A&M University, College Station, TX, USA.
Tim P MoranDepartment of Emergency Medicine, Emory University, Atlanta, GA, USA.
Jonathan RuppDepartment of Emergency Medicine, Emory University, Atlanta, GA, USA.
Sharon NiebDepartment of Emergency Medicine, Emory University, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPediatric unintentional falls are the leading cause of injury-related emergency visits for children < 5 years old. The purpose of this study was to identify population characteristics, injury mechanisms, and injury severities and patterns among children < 5 years to better inform age-appropriate falls prevention strategies.

methodsThis retrospective database study used trauma registry data from the lead pediatric trauma system in Georgia. Data were analyzed for all patients < 5 years with an international classification of disease, 9th revision, clinical modification (ICD-9 CM) external cause of injury code (E-code) for unintentional falls between 1/1/2013 and 12/31/2015. Age (months) was compared across categories of demographic variables, injury mechanisms, and emergency department (ED) disposition using Kruskal-Wallis ANOVA and the Mann Whitney U test. The relationships between demographic variables, mechanism of injury (MOI), and Injury Severity Score (ISS) were evaluated using multinomial logistic regression.

resultsInclusion criteria were met by 1086 patients (median age = 28 months; 59.7% male; 53.8% White; 49.1% <  1 m fall height). Younger children, < 1-year-old, primarily fell from caregiver's arms, bed, or furniture, while older children sustained more falls from furniture and playgrounds. Children who fell from playground equipment were older (median = 49 months, p < 0.01) than those who fell from the bed (median = 10 months), stairs (median = 18 months), or furniture (median = 19 months). Children < 1 year had the highest proportion of head injuries including skull fracture (63.1%) and intracranial hemorrhage (65.5%), 2-year-old children had the highest proportion of femur fractures (32.9%), and 4-year-old children had the highest proportion of humerus fractures (41.0%). Medicaid patients were younger (median = 24.5 months, p < 0.01) than private payer (median = 34 months). Black patients were younger (median = 20.5 months, p < 0.001) than White patients (median = 29 months). Results from multinomial logistic regression models suggest that as age increases, odds of a severe ISS (16-25) decreased (OR = 0.95, CI = 0.93-0.97).

conclusionsPediatric unintentional falls are a significant burden of injury for children < 5 years. Future work will use these risk and injury profiles to inform current safety recommendations and develop evidence-based interventions for parents/caregivers and pediatric providers.

Indexed as

FallsPediatricsUnintentional

Identifiers

PMID29637431
PMCPMC5893510

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.