2014
Susceptibility of the conventional criteria for mild cognitive impairment to false‐positive diagnostic errors
Abstract: Background We assessed whether MCI subtypes could be empirically derived within the Alzheimer’s Disease Neuroimaging Initiative (ADNI) MCI cohort and examined associated biomarkers and clinical outcomes. Methods Cluster analysis was performed on neuropsychological data from 825 MCI ADNI participants. Results Four subtypes emerged: 1) Dysnomic (n=153), 2) Dysexecutive (n=102), 3) Amnestic (n=288), and 4) Cluster-Derived Normal (n=282) who performed within normal limits on cognitive testing. The Cluster-Deri…
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Cited by 251 publications
(450 citation statements)
References 37 publications
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“…There is a need to examine the utility of cognitive domains examined in existing MCI criteria in heterogenous clinical samples likely to include AD, vascular, and Lewy body dementias (Taylor et al, 2020;Tensil et al, 2018;Wolters & Ikram, 2019), as well as premorbid or comorbid conditions affecting baseline cognitive performance or rate of progression (Albai et al, 2019;Mubashir et al, 2019).While the learning curves showed small sex effects, the larger literature allude to the potential public health consequences of relative sex and/or gender differences at different stages of AD (Bloomberg et al, 2021;Shang et al, 2021;Udeh-Momoh & Watermeyer, 2021). Contrary to prior cohort studies (Bondi et al, 2014;Edmonds et al, 2015;Edmonds et al, 2016;Eppig et al, 2017) that have found concerning false positive (31.3%-34.2%) and false-negative (7.1%) rates of MCI, the Jak/Bondi MCI criteria had minimal falsenegative rates (0.9-2.0%) in our clinical sample. Given that cohort study algorithms are primarily designed to detect emergent MCI in more homogenous and high functioning research participants at enrollment, our findings are not surprising.…”
Section: Discussioncontrasting
confidence: 99%
“…There is a need to examine the utility of cognitive domains examined in existing MCI criteria in heterogenous clinical samples likely to include AD, vascular, and Lewy body dementias (Taylor et al, 2020;Tensil et al, 2018;Wolters & Ikram, 2019), as well as premorbid or comorbid conditions affecting baseline cognitive performance or rate of progression (Albai et al, 2019;Mubashir et al, 2019).While the learning curves showed small sex effects, the larger literature allude to the potential public health consequences of relative sex and/or gender differences at different stages of AD (Bloomberg et al, 2021;Shang et al, 2021;Udeh-Momoh & Watermeyer, 2021). Contrary to prior cohort studies (Bondi et al, 2014;Edmonds et al, 2015;Edmonds et al, 2016;Eppig et al, 2017) that have found concerning false positive (31.3%-34.2%) and false-negative (7.1%) rates of MCI, the Jak/Bondi MCI criteria had minimal falsenegative rates (0.9-2.0%) in our clinical sample. Given that cohort study algorithms are primarily designed to detect emergent MCI in more homogenous and high functioning research participants at enrollment, our findings are not surprising.…”
Section: Discussioncontrasting
confidence: 99%
“…Contrary to prior cohort studies (Bondi et al, 2014; Edmonds et al, 2015; Edmonds et al, 2016; Eppig et al, 2017) that have found concerning false positive (31.3%–34.2%) and false-negative (7.1%) rates of MCI, the Jak/Bondi MCI criteria had minimal false-negative rates (0.9–2.0%) in our clinical sample. Given that cohort study algorithms are primarily designed to detect emergent MCI in more homogenous and high functioning research participants at enrollment, our findings are not surprising.…”
Section: Discussioncontrasting
confidence: 96%
“…In the control‐like subgroup, 49 out of 159 individuals progressed to dementia on the course of the follow‐up; those participants converted on average 44.5 months after evaluation. This particular subgroup supports previous findings, which suggest a considerable number of false positives in the diagnosis of MCI in the ADNI database 29,30 …”
Section: Resultssupporting
confidence: 89%
“…These findings are consistent with our previous work showing that about one-third of ADNIdefined MCI participants have cognitive functioning [12], AD biomarkers [12][13][14]16], and everyday functioning [15] that is more consistent with CN than MCI participants (i.e., "false-positive" MCI diagnosis). The current study adds to our previous work by showing that, when more weight is given to more subjective (CDR) than objective (LM) information in the diagnostic decision-making process, there is a greater propensity for diagnostic misclassification, including artificially high rates of MCI stability.…”
Section: Discussionsupporting
confidence: 93%
