Meta-analysis of Glasgow coma scale and simplified motor score in predicting traumatic brain injury outcomes.

OBJECTIVE: To perform a systematic review and meta-analysis to compare the simplified motor score (SMS) and Glasgow Coma Scale (GCS) in predicting outcomes in patients with traumatic brain injury (TBI). DATA SOURCES AND STUDY SELECTION: Ovid EMBASE, Ovid Medline, Ovid PsycInfo, evidence-based medicine reviews and Scopus and related conference proceedings were searched through 28 February 2012 for studies comparing SMS and GCS in predicting the outcomes [emergency tracheal intubation (ETI), clinically significant brain injuries (CSBI), neurosurgical intervention (NSI) and mortality] in patients with TBI. A random-effects model was used for meta-analysis. DATA SYNTHESIS: Five retrospective studies were eligible, enrolling a total of 102 132 subjects with TBI (63.4% males), with 14 670 (14.4%) ETI, 16 201 (15.9%) CSBI, 4730 (4.6%) NSI and 6725 (6.6%) mortality. Pooled AUC of the GCS and SMS were as follows: CSBI 0.79 and 0.75 (p = 0.16), NSI 0.83 and 0.81 (p = 0.34), ETI 0.85 and 0.82 (p = 0.31) and mortality 0.90 and 0.87 (p = 0.01). The difference in AUC for mortality was 0.03. Large heterogeneity between the studies was observed in all analyses (I(2 )> 50%). CONCLUSION: In patients with TBI, SMS predicts different outcomes with similar accuracy as GCS except mortality. However, due to heterogeneity and limited numbers of studies, further prospective studies are required.

Pulmonary embolism rule-out criteria (PERC) in pulmonary embolism--revisited: a systematic review and meta-analysis.

OBJECTIVES: To perform a systematic review and meta-analysis including all the current studies to assess the accuracy of pulmonary embolism rule-out criteria (PERC) in ruling out pulmonary embolism (PE). METHODS: We conducted a comprehensive search of the major databases (Ovid Medline In-Process & Other Non-Indexed Citations, Ovid MEDLINE, Ovid EMBASE, Ovid PsycInfo, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews and Scopus) and references of potentially eligible articles and conference proceedings of major emergency medicine organisations through May 2012. We included all original research studies conducted in emergency departments on diagnostic performance of PERC. Two reviewers independently identified the eligible studies and extracted data. Sensitivity, specificity and likelihood ratios were calculated using contingency tables. RESULTS: 12 studies including 13 cohorts (three retrospective, 10 prospective) were included, comprising of 14 844 patients from six countries. 12 cohorts were urban and one was rural. Pooled (95% CI) sensitivity, specificity, positive and negative likelihood ratio were 0.97 (0.96 to 0.98), 0.22 (0.22 to 0.23), 1.22 (1.16 to 1.29) and 0.17 (0.13 to 0.23), respectively. The pooled (95% CI) diagnostic OR was 7.4 (5.5-9.8). On meta-regression analysis, there was no significant difference between PE prevalence and PERC diagnostic performance (coefficient (SE) of -0.032 (0.022), p=0.173) or on relative diagnostic OR (0.97, 95% CI 0.92 to 1.02). Significant heterogeneity was observed in specificity (I(2)=97.4%) and positive likelihood ratio (I(2)=89.1%). CONCLUSIONS: Because of the high sensitivity and low negative likelihood ratio, PERC rule can be used confidently in clinically low probability population settings.