• Jonathon L Maguire, Kathy Boutis, Elizabeth M Uleryk, Andreas Laupacis, and Patricia C Parkin.
• Division of Pediatric Medicine and the Pediatric Outcomes Research Team (PORT, Hospital for Sick Children, Toronto, Ontario, Canada.
• Pediatrics. 2009 Jul 1;124(1):e145-54.

ContextGiven radiation- and sedation-associated risks, there is uncertainty about which children with head trauma should receive cranial computed tomography (CT) scanning. A high-quality and high-performing clinical prediction rule may reduce this uncertainty.ObjectiveTo systematically review the quality and performance of published clinical prediction rules for intracranial injury in children with head injury.MethodsMedline and Embase were searched in December 2008. Studies were selected if they included clinical prediction rules involving children aged 0 to 18 years with a history of head injury. Prediction-rule quality was assessed by using 14 previously published items. Prediction-rule performance was evaluated by rule sensitivity and the predicted frequency of CT scanning if the rule was used.ResultsA total of 3357 titles and abstracts were assessed, and 8 clinical prediction rules were identified. For all studies, the rule derivations were reported; no study validated a rule in a separate population or assessed its impact in actual practice. The rules differed considerably in population, predictors, outcomes, methodologic quality, and performance. Five of the rules were applicable to children of all ages and severities of trauma. Two of these were high quality (>or=11 of 14 quality items) and had high performance (lower confidence limits for sensitivity >0.95 and required or=13). One of these had high quality (11 of 14 quality items) and high performance (lower confidence limit for sensitivity = 0.94 and required 13% to undergo CT). Four of the 8 rules were applicable to young children, but none exhibited adequate quality or performance.ConclusionsEight clinical prediction-rule derivation studies were identified. They varied considerably in population, methodologic quality, and performance. Future efforts should be directed toward validating rules with high quality and performance in other populations and deriving a high-quality, high-performance rule for young children.

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