BACKGROUND: Biomarker accuracy for Alzheimer disease (AD) is uncertain. PURPOSE: To summarize evidence on biomarker accuracy for classifying AD in older adults with dementia. DATA SOURCES: Electronic bibliographic databases (searched from January 2012 to November 2019 for brain imaging and cerebrospinal fluid [CSF] tests and from inception to November 2019 for blood tests), ClinicalTrials.gov (to November 2019), and systematic review bibliographies. STUDY SELECTION: English-language studies evaluating the accuracy of brain imaging, CSF testing, or blood tests for distinguishing neuropathologically defined AD from non-AD among older adults with dementia. Studies with low or medium risk of bias were analyzed. DATA EXTRACTION: Two reviewers rated risk of bias. One extracted data; the other verified accuracy. DATA SYNTHESIS: Fifteen brain imaging studies and 9 CSF studies met analysis criteria. Median sensitivity and specificity, respectively, were 0.91 and 0.92 for amyloid positron emission tomography (PET), 0.89 and 0.74 for 18F-labeled fluorodeoxyglucose (18F-FDG) PET, 0.64 and 0.83 for single-photon emission computed tomography, and 0.91 and 0.89 for medial temporal lobe atrophy on magnetic resonance imaging (MRI). Individual CSF biomarkers and ratios had moderate sensitivity (range, 0.62 to 0.83) and specificity (range, 0.53 to 0.69); in the few direct comparisons, β-amyloid 42 (Aβ42)/phosphorylated tau (p-tau) ratio, total tau (t-tau)/Aβ42 ratio, and p-tau appeared more accurate than Aβ42 and t-tau alone. Single studies suggested that amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. LIMITATIONS: Studies were small, biomarker cut points and neuropathologic AD were inconsistently defined, and methods with uncertain applicability to typical clinical settings were used. Few studies directly compared biomarkers, assessed test combinations, evaluated whether biomarkers improved classification accuracy when added to clinical evaluation, or reported harms. CONCLUSION: In methodologically heterogeneous studies of uncertain applicability to typical clinical settings, amyloid PET, 18F-FDG PET, and MRI were highly sensitive for neuropathologic AD. Amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality. (PROSPERO: CRD42018117897).
BACKGROUND: Biomarker accuracy for Alzheimer disease (AD) is uncertain. PURPOSE: To summarize evidence on biomarker accuracy for classifying AD in older adults with dementia. DATA SOURCES: Electronic bibliographic databases (searched from January 2012 to November 2019 for brain imaging and cerebrospinal fluid [CSF] tests and from inception to November 2019 for blood tests), ClinicalTrials.gov (to November 2019), and systematic review bibliographies. STUDY SELECTION: English-language studies evaluating the accuracy of brain imaging, CSF testing, or blood tests for distinguishing neuropathologically defined AD from non-AD among older adults with dementia. Studies with low or medium risk of bias were analyzed. DATA EXTRACTION: Two reviewers rated risk of bias. One extracted data; the other verified accuracy. DATA SYNTHESIS: Fifteen brain imaging studies and 9 CSF studies met analysis criteria. Median sensitivity and specificity, respectively, were 0.91 and 0.92 for amyloid positron emission tomography (PET), 0.89 and 0.74 for 18F-labeled fluorodeoxyglucose (18F-FDG) PET, 0.64 and 0.83 for single-photon emission computed tomography, and 0.91 and 0.89 for medial temporal lobe atrophy on magnetic resonance imaging (MRI). Individual CSF biomarkers and ratios had moderate sensitivity (range, 0.62 to 0.83) and specificity (range, 0.53 to 0.69); in the few direct comparisons, β-amyloid 42 (Aβ42)/phosphorylated tau (p-tau) ratio, total tau (t-tau)/Aβ42 ratio, and p-tau appeared more accurate than Aβ42 and t-tau alone. Single studies suggested that amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. LIMITATIONS: Studies were small, biomarker cut points and neuropathologic AD were inconsistently defined, and methods with uncertain applicability to typical clinical settings were used. Few studies directly compared biomarkers, assessed test combinations, evaluated whether biomarkers improved classification accuracy when added to clinical evaluation, or reported harms. CONCLUSION: In methodologically heterogeneous studies of uncertain applicability to typical clinical settings, amyloid PET, 18F-FDG PET, and MRI were highly sensitive for neuropathologic AD. Amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality. (PROSPERO: CRD42018117897).
Authors: Le Gjerum; Birgitte Bo Andersen; Marie Bruun; Anja Hviid Simonsen; Otto Mølby Henriksen; Ian Law; Steen Gregers Hasselbalch; Kristian Steen Frederiksen Journal: PLoS One Date: 2021-03-12 Impact factor: 3.240
Authors: Orit H Lesman-Segev; Renaud La Joie; Leonardo Iaccarino; Iryna Lobach; Howard J Rosen; Sang Won Seo; Mustafa Janabi; Suzanne L Baker; Lauren Edwards; Julie Pham; John Olichney; Adam Boxer; Eric Huang; Marilu Gorno-Tempini; Charles DeCarli; Mackenzie Hepker; Ji-Hye L Hwang; Bruce L Miller; Salvatore Spina; Lea T Grinberg; William W Seeley; William J Jagust; Gil D Rabinovici Journal: Ann Neurol Date: 2020-12-07 Impact factor: 10.422
Authors: Noeline Nakasujja; Alyssa C Vecchio; Deanna Saylor; Sarah Lofgren; Gertrude Nakigozi; David R Boulware; Alice Kisakye; James Batte; Richard Mayanja; Aggrey Anok; Steven J Reynolds; Thomas C Quinn; Carlos A Pardo; Anupama Kumar; Ronald H Gray; Maria J Wawer; Ned Sacktor; Leah H Rubin Journal: J Neurovirol Date: 2021-07-31 Impact factor: 3.739
Authors: Michael F Bergeron; Sara Landset; Xianbo Zhou; Tao Ding; Taghi M Khoshgoftaar; Feng Zhao; Bo Du; Xinjie Chen; Xuan Wang; Lianmei Zhong; Xiaolei Liu; J Wesson Ashford Journal: J Alzheimers Dis Date: 2020 Impact factor: 4.472
Authors: Michel J Grothe; Alexis Moscoso; Nicholas J Ashton; Thomas K Karikari; Juan Lantero-Rodriguez; Anniina Snellman; Henrik Zetterberg; Kaj Blennow; Michael Schöll Journal: Neurology Date: 2021-07-15 Impact factor: 9.910