Evidence map›Paper›PMID 25443992›Full record

ArticleAnnals of emergency medicine2015

Cost-effectiveness of the PECARN rules in children with minor head trauma.

Daniel K Nishijima, Zhuo Yang, Michael Urbich, James F Holmes, Marike Zwienenberg-Lee, Joy Melnikow, Nathan Kuppermann

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Observational
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  16. Overuse of CT and MRI in paediatric emergency departments.The British journal of radiology · 2018
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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

7 authors.

Daniel K NishijimaDepartment of Emergency Medicine, UC Davis School of Medicine, Sacramento, CA. Electronic address: daniel.nishijima@ucdmc.ucdavis.edu.
Zhuo YangCenter for Healthcare Policy and Research, UC Davis School of Medicine, Sacramento, CA.
Michael UrbichDepartment of Economics and Related Studies, University of York, Heslington, York.
James F HolmesDepartment of Emergency Medicine, UC Davis School of Medicine, Sacramento, CA.
Marike Zwienenberg-LeeDepartment of Neurological Surgery, UC Davis School of Medicine, Sacramento, CA.
Joy MelnikowCenter for Healthcare Policy and Research, UC Davis School of Medicine, Sacramento, CA.
Nathan KuppermannDepartment of Emergency Medicine, UC Davis School of Medicine, Sacramento, CA.

Funding

UC DAVIS CLINICAL AND TRANSLATIONAL SCIENCE CENTER: BPCAUL1RR024146 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2006 to 2011
$27.0M
NCATS NIH HHS L30 TR000286NCRR NIH HHS UL1 RR024146
6 · The paper itself

Abstract

STUDY

objectiveTo improve the efficiency and appropriateness of computed tomography (CT) use in children with minor head trauma, clinical prediction rules were derived and validated by the Pediatric Emergency Care Applied Research Network (PECARN). The objective of this study was to conduct a cost-effectiveness analysis comparing the PECARN traumatic brain injury prediction rules to usual care for selective CT use.

methodsWe used decision analytic modeling to project the outcomes, costs, and cost-effectiveness of applying the PECARN rules compared with usual care in a hypothetical cohort of 1,000 children with minor blunt head trauma. Clinical management was directed by level of risk as specified by the presence or absence of variables in the PECARN traumatic brain injury prediction rules. Immediate costs of care (diagnostic testing, treatment [not including clinician time], and hospital stay) were derived on single-center data. Quality-adjusted life-year losses related to the sequelae of clinically important traumatic brain injuries and to radiation-induced cancers, number of CT scans, number of radiation-induced cancers, number of missed clinically important traumatic brain injury, and total costs were evaluated.

resultsCompared with the usual care strategy, the PECARN strategy was projected to miss slightly more children with clinically important traumatic brain injuries (0.26 versus 0.02 per 1,000 children) but used fewer cranial CT scans (274 versus 353), resulted in fewer radiation-induced cancers (0.34 versus 0.45), cost less ($904,940 versus $954,420), and had lower net quality-adjusted life-year loss (-4.64 versus -5.79). Because the PECARN strategy was more effective (less quality-adjusted life-year loss) and less costly, it dominated the usual care strategy. Results were robust under sensitivity analyses.

conclusionApplication of the PECARN traumatic brain injury prediction rules for children with minor head trauma would lead to beneficial outcomes and more cost-effective care.

Indexed as

Decision Support TechniquesAdolescentAge FactorsBrain InjuriesChildChild, PreschoolCost-Benefit AnalysisCraniocerebral TraumaEmergency Service, HospitalGlasgow Outcome ScaleHealth Care CostsHumansInfantInfant, NewbornOutcome and Process Assessment, Health CareSensitivity and Specificity

Identifiers

PMID25443992
PMCPMC4275394

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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.