Yosra Sherif, Ahmad Zaid Fattah Azman, Salmiah Md Said, Aishah Siddiqah Alimuddin, Hamidin Awang, Marjan Mohammadzadeh
Effect of online intervention based on life skills for mental health, self-efficacy and coping skills among Arab adolescents in the Klang Valley, Malaysia: A cluster randomised controlled trial protocol
PloS one
nerve conduction studies ncs require valid reference limits meaningful interpretation aimed develop extrapolated norms enorms method obtaining ncs reference limits historical laboratory datasets children adults validate traditionally derived reference limits compared reference limits obtained applying developed enorms reference limits healthy controls age stratas 918 2044 4560 years old control data consisted 65 healthy children 578 healthy adults matched 1294 5628 patients respectively five commonly investigated nerves chosen tibial peroneal motor nerves amplitudes conduction velocities fwaves sural superficial peroneal medial plantar sensory nerves amplitudes conduction velocities datasets matched hospital ensure identical equipment protocols enorms method adapted reference limit calculation using 2 sd original method 25 sd compensate predicted underestimation population sd enorms method compared control data using 2 sd percentage agreement enorms traditional method calculated average enorms method mean 2 sd produced slightly stricter reference limits compared traditional method increasing enorms range mean 25 sd improved results children slightly overcorrecting adult group average agreement two methods 95 2 sd 96 25 sd enorms method yielded slightly stricter reference limits overall ones obtained traditional methods however much difference attributed outlying plots raters found difficult apply enorms correctly two methods disagreed classification 45 cases enorms software suited analyze large amounts raw ncs data reduce bias facilitate accurate ratings small adaptations enorms method adequately replicates traditionally derived reference limits viable method produce reference limits historical datasets