A systematic review and meta-analysis of the accuracy of weight estimation systems used in paediatric emergency care in developing countries Mike Wells,

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Presentation transcript:

A systematic review and meta-analysis of the accuracy of weight estimation systems used in paediatric emergency care in developing countries Mike Wells, Lara Nicole Goldstein, Alison Bentley African Journal of Emergency Medicine Volume 7, Pages S36-S54 (January 2017) DOI: 10.1016/j.afjem.2017.06.001 Copyright © 2017 African Federation for Emergency Medicine Terms and Conditions

Fig. 1 PRISMA flow-chart of the meta-analysis design and study selection. African Journal of Emergency Medicine 2017 7, S36-S54DOI: (10.1016/j.afjem.2017.06.001) Copyright © 2017 African Federation for Emergency Medicine Terms and Conditions

Fig. 2 Bar chart and forest plot and showing the pooled, random effects data of all weight estimation systems evaluated. The studies are ordered from bottom to top according to decreasing variance (MPE data) and increasing accuracy (PW10 data) respectively. The number of studies included for each system is indicated. The vertical red line on the bar chart indicates the threshold for acceptable accuracy on a weight estimation system. The shaded green area and dashed lines on the forest plot indicate the maximum acceptable MPE and PELOA benchmark, respectively. African Journal of Emergency Medicine 2017 7, S36-S54DOI: (10.1016/j.afjem.2017.06.001) Copyright © 2017 African Federation for Emergency Medicine Terms and Conditions

Fig. 3 Direct comparisons between weight-estimation systems using pooled, paired data. The PW10 statistic was used with an inverse variance meta-analysis, employing a random-effects model. This model was selected because of non-uniform samples with high inter- and intra-sample variability. Outcomes where the total or pooled result do not cross 1 were considered statistically significant. African Journal of Emergency Medicine 2017 7, S36-S54DOI: (10.1016/j.afjem.2017.06.001) Copyright © 2017 African Federation for Emergency Medicine Terms and Conditions

Supplementary Fig. A Forest plots for each of the weight-estimation systems evaluated. The plots show trueness or bias (MPE), precision (LOA) and pooled data which was synthesised using two methods of weighting: method 1 used an inverse variance-weighted, fixed effects model and method 2 used a random effects model. The number of patients in each study is indicated. A negative percentage on the X-axis represents an underestimation of weight. African Journal of Emergency Medicine 2017 7, S36-S54DOI: (10.1016/j.afjem.2017.06.001) Copyright © 2017 African Federation for Emergency Medicine Terms and Conditions

Supplementary Fig. B Bar chart showing the PW10 statistics for each of the weight-estimation systems evaluated. The PW10 is an overall indicator of accuracy, shown for each study and for and pooled data which was synthesised using two methods of weighting: method 1 used an inverse variance-weighted, fixed effects model and method 2 used a random effects model. The number of patients in each study is shown. African Journal of Emergency Medicine 2017 7, S36-S54DOI: (10.1016/j.afjem.2017.06.001) Copyright © 2017 African Federation for Emergency Medicine Terms and Conditions