Evidence map›Paper›PMID 38663048›Full record

ArticleChild abuse & neglect2024

Validation of the PediBIRN-7 clinical prediction rule for pediatric abusive head trauma.

Kent P Hymel, Christopher L Carroll, Terra N Frazier, Kerri Weeks, Bruce E Herman, Mark Marinello, Yiming Chen, Ming Wang, Stephen C Boos, Pediatric Brain Injury Research Network (PediBIRN) Investigators

Abstract readValidation Study
In one paragraph

Article in Child abuse & neglect, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Kent P HymelAdjunct Professor of Pediatrics, Penn State College of Medicine, Hershey, PA, USA.
Christopher L CarrollDepartment of Pediatrics, Wolfson Children's Hospital, Jacksonville, FL, USA.
Terra N FrazierDepartment of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA.
Kerri WeeksDepartment of Pediatrics, University of Kansas School of Medicine, Wichita, KS, USA.
Bruce E HermanProfessor of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Mark MarinelloDepartment of Pediatrics, Children's Hospital of Richmond at VCU, Richmond, VA, USA.
Yiming ChenDepartment of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, OH, USA.
Ming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Stephen C BoosProfessor of Pediatrics, UMass Chan Medical School-Baystate, Springfield, MA, USA. Electronic address: stephen.boos@baystatehealth.org.
Pediatric Brain Injury Research Network (PediBIRN) Investigators

Funding

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
NICHD NIH HHS P50 HD089922
6 · The paper itself

Abstract

backgroundThe PediBIRN-7 clinical prediction rule incorporates the (positive or negative) predictive contributions of completed abuse evaluations to estimate abusive head trauma (AHT) probability after abuse evaluation. Applying definitional criteria as proxies for AHT and non-AHT ground truth, it performed with sensitivity 0.73 (95 % CI: 0.66-0.79), specificity 0.87 (95 % CI: 0.82-0.90), and ROC-AUC 0.88 (95 % CI: 0.85-0.92) in its derivation study.

objectiveTo validate the PediBIRN-7's AHT prediction performance in a novel, equivalent, patient population. PARTICIPANTS AND SETTINGS: Consecutive, acutely head-injured children <3 years hospitalized for intensive care across eight sites between 2017 and 2020 with completed skeletal surveys and retinal exams (N = 342).

methodsSecondary analysis of an existing, cross-sectional, prospective dataset, including assignment of patient-specific estimates of AHT probability, calculation of AHT prediction performance measures (ROC-AUC, sensitivity, specificity, predictive values), and completion of sensitivity analyses to estimate best- and worst-case prediction performances.

resultsApplying the same definitional criteria, the PediBIRN-7 performed with sensitivity 0.74 (95 % CI: 0.66-0.81), specificity 0.77 (95 % CI: 0.70-0.83), and ROC-AUC 0.83 (95 % CI: 0.78-0.88). The reduction in ROC-AUC was statistically insignificant (p = .07). Applying physicians' final consensus diagnoses as proxies for AHT and non-AHT ground truth, the PediBIRN-7 performed with sensitivity 0.73 (95 % CI: 0.66-0.79), specificity 0.87 (95 % CI: 0.82-0.90), and ROC-AUC 0.90 (95 % CI: 0.87-0.94). Sensitivity analyses demonstrated minimal changes in rule performance.

conclusionThe PediBIRN-7's overall AHT prediction performance has been validated in a novel, equivalent, patient population. Its patient-specific estimates of AHT probability can inform physicians' AHT-related diagnostic reasoning after abuse evaluation.

Indexed as

Child AbuseCraniocerebral TraumaChild, PreschoolClinical Decision RulesCross-Sectional StudiesFemaleHumansInfantMaleProspective StudiesSensitivity and SpecificityAbusive head traumaChild physical abuseClinical prediction ruleLikelihood ratio

Identifiers

PMID38663048
PMCPMC11097240

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.