Evidence map›Paper›PMID 30551063›Full record

ArticleChild abuse & neglect2019

Estimating the probability of abusive head trauma after abuse evaluation.

Kent P Hymel, Ming Wang, Vernon M Chinchilli, Wouter A Karst, Douglas F Willson, Mark S Dias, Bruce E Herman, Christopher L Carroll, Suzanne B Haney, Reena Isaac and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Child abuse & neglect, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diagnosis of Abusive Head Trauma : Neurosurgical Perspective.Journal of Korean Neurosurgical Society · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Review
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

11 authors.

Kent P HymelDepartment of Pediatrics, Penn State College of Medicine, Penn State Health Children's Hospital, Hershey, PA, United States. Electronic address: kphymel@gmail.com.
Ming WangDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Vernon M ChinchilliDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Wouter A KarstDepartment of Forensic Medicine, Netherlands Forensic Institute, The Hague, the Netherlands.
Douglas F WillsonDepartment of Pediatrics, Children's Hospital of Richmond, Richmond, VA, United States.
Mark S DiasDepartments of Neurosurgery and Pediatrics, Penn State College of Medicine, Hershey, PA, United States.
Bruce E HermanDepartment of Pediatrics, University of Utah School of Medicine, Primary Children's Medical Center, Salt Lake City, UT, United States.
Christopher L CarrollDepartment of Pediatrics, Connecticut Children's Medical Center, Hartford, CT, United States.
Suzanne B HaneyDepartment of Pediatrics, University of Nebraska Medical Center, Children's Hospital and Medical Center, Omaha, NE, United States.
Reena IsaacDepartment of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, United States.
Pediatric Brain Injury Research Network (PediBIRN) Investigators

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
STRATIFIED CLUSTER RANDOMIZED TRIAL (SCRT) OF A CLINICAL DECISION RULE (CDR) FOR ABUSIVE HEAD TRAUMA (AHT)P50HD089922 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHRISTIAN M CONNELL · 2017 to 2026
$16.9M
Penn State Institutional Career Development CoreKL2TR002015 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI VAN SCOY, LAUREN JODI · 2016 to 2025
$7.8M
NCATS NIH HHS KL2 TR002015NCATS NIH HHS UL1 TR002014NICHD NIH HHS P50 HD089922
6 · The paper itself

Abstract

backgroundEvidence-based, patient-specific estimates of abusive head trauma probability can inform physicians' decisions to evaluate, confirm, exclude, and/or report suspected child abuse.

objectiveTo derive a clinical prediction rule for pediatric abusive head trauma that incorporates the (positive or negative) predictive contributions of patients' completed skeletal surveys and retinal exams. PARTICIPANTS AND

setting500 acutely head-injured children under three years of age hospitalized for intensive care at one of 18 sites between 2010 and 2013.

methodsSecondary analysis of an existing, cross-sectional, prospective dataset, including (1) multivariable logistic regression to impute the results of abuse evaluations never ordered or completed, (2) regularized logistic regression to derive a novel clinical prediction rule that incorporates the results of completed abuse evaluations, and (3) application of the new prediction rule to calculate patient-specific estimates of abusive head trauma probability for observed combinations of its predictor variables.

resultsApplying a mean probability threshold of >0.5 to classify patients as abused, the 7-variable clinical prediction rule derived in this study demonstrated sensitivity 0.73 (95% CI: 0.66-0.79) and specificity 0.87 (95% CI: 0.82-0.90). The area under the receiver operating characteristics curve was 0.88 (95% CI: 0.85-0.92). Patient-specific estimates of abusive head trauma probability for 72 observed combinations of its seven predictor variables ranged from 0.04 (95% CI: 0.02-0.08) to 0.98 (95% CI: 0.96-0.99).

conclusionsSeven variables facilitate patient-specific estimation of abusive head trauma probability after abuse evaluation in intensive care settings.

Indexed as

Child AbuseChild, PreschoolClinical Decision RulesCraniocerebral TraumaEpidemiologic MethodsFemaleHumansInfantMaleMandatory ReportingPhysical ExaminationRadiographyRetinaAbusive head traumaChild abuseClinical prediction ruleNon-accidental traumaPrediction tool

Identifiers

PMID30551063
PMCPMC6333504

What OpenQuestion holds

Textmetadata
LicenceTDM
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.