TY - JOUR
T1 - Extended Lumbar Drainage in Idiopathic Normal Pressure Hydrocephalus
T2 - A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy
AU - Nunn, Adam C.
AU - Jones, Hayley E
AU - Morosanu, Cezar O.
AU - Singleton, William G. B.
AU - Williams, Michael A.
AU - Nagel, Sean J.
AU - Luciano, Mark G.
AU - Zwimpfer, Thomas J.
AU - Holubkov, Richard
AU - Wisoff, Jeffrey H.
AU - McKhann, II, Guy M.
AU - Hamilton, Mark G.
AU - Edwards, Richard J.
PY - 2020/7/9
Y1 - 2020/7/9
N2 - Background: When appropriately selected, a high proportion of patients with suspected idiopathic normal pressure hydrocephalus (iNPH) will respond to cerebrospinal fluid diversion with a shunt. Extended lumbar drainage (ELD) is regarded as the most accurate test for this condition, however, varying estimates of its accuracy are found in the current literature. Here, we review the literature in order to provide summary estimates of sensitivity, specificity, positive- and negative predictive value for this test through meta-analysis of suitably rigorous studies.
Methods: Studies involving a population of NPH patients with predominantly idiopathic aetiology (>80%) in which the intention of the study was to shunt patients regardless of the outcome of ELD were included in the review. Various literature databases were searched to identify diagnostic test accuracy studies addressing ELD in the diagnosis of iNPH. Those studies passing screening and eligibility were assessed using the QUADAS-2 tool and data extracted for bivariate random effects meta-analysis.
Results: Four small studies were identified. They showed disparate results concerning diagnostic test accuracy. The summary estimates for sensitivity and specificity were 94% (CI 41-100%) and 85% (CI 33-100%), respectively. The summary estimates of positive and negative predictive value were both 90% (CIs 65-100% and 48-100%, respectively).
Conclusion: Large, rigorous studies addressing the diagnostic accuracy of ELD are lacking, and little robust evidence exists to support the use of ELD in diagnostic algorithms for iNPH. Therefore, a large cohort study, or ideally an RCT, is needed to determine best practice in selecting patients for shunt surgery.
AB - Background: When appropriately selected, a high proportion of patients with suspected idiopathic normal pressure hydrocephalus (iNPH) will respond to cerebrospinal fluid diversion with a shunt. Extended lumbar drainage (ELD) is regarded as the most accurate test for this condition, however, varying estimates of its accuracy are found in the current literature. Here, we review the literature in order to provide summary estimates of sensitivity, specificity, positive- and negative predictive value for this test through meta-analysis of suitably rigorous studies.
Methods: Studies involving a population of NPH patients with predominantly idiopathic aetiology (>80%) in which the intention of the study was to shunt patients regardless of the outcome of ELD were included in the review. Various literature databases were searched to identify diagnostic test accuracy studies addressing ELD in the diagnosis of iNPH. Those studies passing screening and eligibility were assessed using the QUADAS-2 tool and data extracted for bivariate random effects meta-analysis.
Results: Four small studies were identified. They showed disparate results concerning diagnostic test accuracy. The summary estimates for sensitivity and specificity were 94% (CI 41-100%) and 85% (CI 33-100%), respectively. The summary estimates of positive and negative predictive value were both 90% (CIs 65-100% and 48-100%, respectively).
Conclusion: Large, rigorous studies addressing the diagnostic accuracy of ELD are lacking, and little robust evidence exists to support the use of ELD in diagnostic algorithms for iNPH. Therefore, a large cohort study, or ideally an RCT, is needed to determine best practice in selecting patients for shunt surgery.
KW - cerebrospinal fluid shunts
KW - extended lumbar drainage
KW - normal pressure hydrocephalus
KW - diagnostic techniques
U2 - 10.1080/02688697.2020.1787948
DO - 10.1080/02688697.2020.1787948
M3 - Article (Academic Journal)
C2 - 32643967
SN - 0268-8697
JO - British Journal of Neurosurgery
JF - British Journal of Neurosurgery
ER -