Evidence map›Paper›PMID 28406438›Full record

ArticleInternational journal of environmental research and public health2017

U.S. Trends of ED Visits for Pediatric Traumatic Brain Injuries: Implications for Clinical Trials.

Cheng Chen, Junxin Shi, Rachel M Stanley, Eric A Sribnick, Jonathan I Groner, Henry Xiang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Effect of virtual reality-based mindfulness training model on anxiety, depression, and cancer-related fatigue in ovarian cancer patients during chemotherapy.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
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  9. Review
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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

6 authors.

Cheng ChenCenter for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. Cheng.Chen@nationwidechildrens.org.
Junxin ShiCenter for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. Junxin.Shi@nationwidechildrens.org.
Rachel M StanleyCenter for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. Rachel.Stanley@nationwidechildrens.org.
Eric A SribnickCenter for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. Eric.Sribnick@nationwidechildrens.org.
Jonathan I GronerCenter for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. Jonathan.Groner@nationwidechildrens.org.
Henry XiangCenter for Pediatric Trauma Research, The Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH 43205, USA. Henry.Xiang@nationwidechildrens.org.

Funding

Causal Inference for Treatment Effect using Observational Healthcare Data with Unequal Sampling WeightsR01HS024263 · AHRQ · OHIO STATE UNIVERSITY · PI LU, BO · 2015 to 2018
$919k
AHRQ HHS R01 HS024263
6 · The paper itself

Abstract

Our goal in this paper was to use the 2006-2013 Nationwide Emergency Department Sample (NEDS) database to describe trends of annual patient number, patient demographics and hospital characteristics of pediatric traumatic brain injuries (TBI) treated in U.S. emergency departments (EDs); and to use the same database to estimate the available sample sizes for various clinical trials of pediatric TBI cases. National estimates of patient demographics and hospital characteristics were calculated for pediatric TBI. Simulation analyses assessed the potential number of pediatric TBI cases from randomly selected hospitals for inclusion in future clinical trials under different scenarios. Between 2006 and 2013, the NEDS database estimated that of the 215,204,932 children who visited the ED, 6,089,930 (2.83%) had a TBI diagnosis. During the study period in the US EDs, pediatric TBI patients increased by 34.1%. Simulation analyses suggest that hospital EDs with annual TBI ED visits >1000, Levels I and II Trauma Centers, pediatric hospitals, and teaching hospitals will likely provide ample cases for pediatric TBI studies. However, recruiting severe pediatric TBI cases for clinical trials from a limited number of hospital EDs will be challenging due to small sample sizes. Pediatric TBI-related ED visits in the U.S. increased by over 30% from 2006 to 2013. Including unspecified head injury cases with ICD-9-CM code 959.01 would significantly change the national estimates and demographic patterns of pediatric TBI cases. Future clinical trials of children with TBI should conduct a careful feasibility assessment to estimate their sample size and study power in selected study sites.

Indexed as

AdolescentBrain Injuries, TraumaticChildChild, PreschoolClinical Trials as TopicComputer SimulationDatabases, FactualEmergency Service, HospitalFemaleHospitalsHospitals, PediatricHospitals, TeachingHumansInfantInfant, NewbornMaleemergency departmentpediatrictraumatic brain injury

Identifiers

PMID28406438
PMCPMC5409615

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.