Evidence map›Paper›PMID 42061904›Full record

ArticlePediatrics2026

Comparison of Cervical Spine Injury Prediction Rule Across Ages.

Daniel J Corwin, Pradip P Chaudhari, Leah Tzimenatos, Monica Harding, Lawrence Cook, Kenneth Yen, Alexander Rogers, Fahd A Ahmad, Robert Sapién, Robert Hickey and 3 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Daniel J CorwinDivision of Emergency Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Pradip P ChaudhariDivision of Emergency and Transport Medicine, Children's Hospital Los Angeles, Los Angeles, California.
Leah TzimenatosDepartment of Emergency Medicine, School of Medicine, University of California, Davis, Sacramento, California.
Monica HardingUtah Data Coordinating Center, University of Utah, Salt Lake City, Utah.
Lawrence CookUtah Data Coordinating Center, University of Utah, Salt Lake City, Utah.
Kenneth YenDivision of Pediatric Emergency Medicine, Department of Pediatrics, Children's Health Dallas, University of Texas Southwestern Medical Center, Dallas, Texas.
Alexander RogersDepartments of Emergency Medicine and Pediatrics, University of Michigan, CS Mott Children's Hospital, Ann Arbor, Michigan.
Fahd A AhmadDepartment of Pediatrics, Division of Emergency Medicine, School of Medicine, Washington University in St. Louis, St. Louis, Missouri.
Robert SapiénDepartment of Emergency Medicine, School of Medicine, University of New Mexico, Albuquerque, New Mexico.
Robert HickeyDepartment of Pediatrics, University of Pittsburgh, Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Lois LeeDivision of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts.
Jeffrey R LeonardDepartment of Neurosurgery, College of Medicine, The Ohio State University, Nationwide Children's Hospital, Columbus, Ohio.
Julie C LeonardDivision of Emergency Medicine, Department of Pediatrics, College of Medicine, The Ohio State University, Nationwide Children's Hospital, Columbus, Ohio.

Funding

Development and Testing of a Pediatric Cervical Spine Injury Risk Assessment ToolR01HD091347 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI LEONARD, JULIE C. · 2018 to 2022
$3.2M
Risk Stratification Using Physiologic Markers and Mobile Health-Facilitated Specialist Management to Improve Outcomes in Pediatric Concussion PatientsK23NS128275 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI Daniel Corwin · 2022 to 2026
$1.1M
NICHD NIH HHS R01 HD091347NINDS NIH HHS K23 NS128275
6 · The paper itself

Abstract

objectiveTo evaluate the performance of the Pediatric Emergency Care Applied Research Network (PECARN) cervical spine injury (CSI) prediction rule among different pediatric age groups and derive and assess age-specific CSI prediction rules.

methodsWe conducted a planned secondary analysis of the PECARN CSI study of children younger than 18 years with known or suspected blunt trauma evaluated at 1 of 18 children's hospitals' emergency departments. Participants were divided into 4 clinically relevant age groups (<2, 2-7, 8-15, and 16 to <18 years). Age-specific rules were derived from the 4 high-risk predictors of the PECARN CSI Prediction Rule and using a classification and regression tree (CART) analysis to identify additional non-negligible age-specific risk factors. Rule performance was assessed using sensitivity, specificity, and positive and negative predictive values (NPVs) for each age group.

resultsThere were 22 430 participants included in analysis. Three to 8 risk factors were identified as non-negligible risk in CART analysis for each age-specific rule. The sensitivity of the PECARN CSI Prediction Rule (range 91.7%-94.4% across age groups) was similar to age-specific rules (range 88.4%-97.5%). The specificity of the PECARN CSI Prediction Rule (range 44.6%-72.3% for age groups) was also similar to age-specific rules (range 45.9%-75.9%). NPVs (all ≥99.6%) were similar across age groups for all rules.

conclusionsRule performance for the age-specific CSI prediction rules and the PECARN CSI Prediction Rule were similar. These findings support clinicians' use of the PECARN CSI Prediction Rule across the pediatric age spectrum.

Indexed as

Cervical VertebraeClinical Decision RulesSpinal InjuriesWounds, NonpenetratingAdolescentAge FactorsChildChild, PreschoolEmergency Service, HospitalFemaleHumansInfantMalePredictive Value of TestsRisk FactorsSensitivity and Specificity

Identifiers

PMID42061904
PMCPMC13222121

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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.