The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
Open accessAbstract
The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of revising the 1984 criteria for Alzheimer's disease (AD) dementia. The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available. We present criteria for all‐cause dementia and for AD dementia. We retained the general framework of probable AD dementia from the 1984 criteria. On the basis of the past 27 years of experience, we made several changes in the clinical criteria for the diagnosis. We also retained the term possible AD dementia, but redefined it in a manner more focused than before. Biomarker evidence was also integrated into the diagnostic formulations for probable and possible AD dementia for use in research settings. The core clinical criteria for AD dementia will continue to be the cornerstone of the diagnosis in clinical practice, but biomarker evidence is expected to enhance the pathophysiological specificity of the diagnosis of AD dementia. Much work lies ahead for validating the biomarker diagnosis of AD dementia.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A consensus meeting was held among the study neurologists and neuropsychologists to clinically determine each potential participant’s cognitive status grouping (NC, MCI, or dementia) based on a standardized approach used in National Institute of Health (NIH)-funded Alzheimer’s Disease Centers across the United States (Albert et al., 2011; Jack et al., 2011; McKhann et al., 2011).”
From Internet-Based Conversational Engagement Randomized Controlled Clinical Trial (I-CONECT) Among Socially Isolated Adults 75+ Years Old With Normal Cognition or Mild Cognitive Impairment: Topline Results (2024) · cites this paper as McKhann et al., 2011
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“the atrophy of specific brain regions shown by structural MRI is an important part of the diagnostic criteria for FTD and AD (McKhann et al., 2011; Rascovsky et al., 2011)”
From Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer's Disease (2021) · cites this paper as McKhann et al., 2011
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Diagnosis of AD was made in accordance with the NINCDS-ADRCA criteria (McKhann et al., 2011) and MCI was diagnosed according to the Mayo criteria (Petersen et al., 1999).”
From Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction (2018) · cites this paper as McKhann et al., 2011
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“During this extended preclinical period prior to the dementia diagnosis, many patients develop behavioral or neuropsychiatric changes, including agitation, irritability, decreased motivation, loss of empathy, and depression, which increase the risk of transition to mild cognitive impairment and AD.12-14”
From Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models (2024) · cites this paper as [12]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“All patients (n = 96) were clinically evaluated by expert neurologists (M.G., D.J.I.) at the time of recording at the frontotemporal degeneration center (FTDC) in the neurology department of the Hospital of the University of Pennsylvania, and they were classified at a weekly consensus meeting at the FTDC using established clinical criteria.”
From Automatic classification of AD pathology in FTD phenotypes using natural speech (2024) · cites this paper as [26]
The cited source says what the claim attributes to it.
In the citing paper
“AD is clinically diagnosed using the 2011 National Institute on Aging-Alzheimer's Association (NIA-AA) criteria [5].”
From Identification of novel diagnostic panel for mild cognitive impairment and Alzheimer’s disease: findings based on urine proteomics and machine learning (2023) · cites this paper as [5]
The cited source says what the claim attributes to it.
In the citing paper
“Probable AD diagnoses were assigned according to both NINCDS/ADRDA criteria (23), and the core clinical NIA-AA criteria (28).”
From SUCLG2 identified as both a determinator of CSF Aβ1–42 levels and an attenuator of cognitive decline in Alzheimer's disease (2014) · cites this paper as [28]
In the citing paper
“The University of California San Francisco (UCSF) Memory and Aging Center Dementia cohort consisted of 152 carefully phenotyped older adults meeting the National Institute on Aging-Alzheimer's Association (NIA-AA) criteria for either mild-cognitive impairment22 or probable dementia because of AD.23”
From Whole-genome sequencing suggests a chemokine gene cluster that modifies age at onset in familial Alzheimer's disease (2015) · cites this paper as [23]
In the citing paper
“More recently, the imaging of amyloid with compounds such as the radiolabeled Pittsburgh compound B (11C-PiB) has received much interest and been proposed as a biomarker of AD.21,22”
From Diagnostic Criteria for Vascular Cognitive Disorders: A VASCOG Statement (2014) · cites this paper as [21]
In the citing paper
“These, along with amyloid imaging using positron emission tomography (PET), may help determine AD as the main or contributory cause of the cognitive disorder.”
From Diagnostic Criteria for Vascular Cognitive Disorders: A VASCOG Statement (2014) · cites this paper as [21]
In the citing paper
“CSF markers for AD are, however, better developed, with lower levels of Aβ42 and elevated levels of tau/phosphorylated-tau being indicative of AD pathology.21,22”
From Diagnostic Criteria for Vascular Cognitive Disorders: A VASCOG Statement (2014) · cites this paper as [21]
In the citing paper
“The clinical criteria used most commonly are the NIA‐AA criteria for dementia 89 and mild cognitive impairment 90 due to Alzheimer's disease.”
From Mental health care for older adults: recent advances and new directions in clinical practice and research (2022) · cites this paper as [89]
In the citing paper
“The development of the DSM-5 criteria for the various subtypes involved extensive discussions with experts from diverse fields to harmonize the DSM criteria with criteria developed by other expert groups, such as the NIA-AA, 20,27 the frontotemporal dementia expert group, 28,29 the consortium on DLB, 30 the VASCOG working group, 31 the Movement Disorder Study Task Force on Parkinson Disease 32 and”
From Classifying neurocognitive disorders: the DSM-5 approach (2014) · cites this paper as [27]
In the citing paper
“This different pattern of results in bvFTD and AD may reflect the preferential and widespread damage within the AIN in bvFTD11,14,16, 17, 18, 19, 20,24 whereas in AD, AIN damage appears to be more circumscribed.17,38,88”
From Altered spatiotemporal brain dynamics of interoception in behavioural-variant frontotemporal dementia (2025) · cites this paper as [38]
In the citing paper
“Second, patients received diagnoses based on established clinical criteria only,37,38 without testing for ATN biomarkers in AD such as the deposition of amyloid-β and tau proteins established via Positron Emission Tomography, CSF, or plasma in AD.94, 95, 96, 97”
From Altered spatiotemporal brain dynamics of interoception in behavioural-variant frontotemporal dementia (2025) · cites this paper as [38]
In the citing paper
“The diagnosis was concluded in a multidisciplinary meeting using consensus criteria for probable FTD, PPD (DSM-V), and AD [25,31,32].”
In the citing paper
“Detection of abnormal Aβ accumulation (Aβ positivity) may support the clinical diagnosis of AD1,2 and is essential for including participants in clinical AD trials targeting Aβ.3”
From Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status (2019) · cites this paper as [2]
In the citing paper
“Diagnosis was established by the multidisciplinary teams at each research institute based on current consensus diagnostic criteria (McKhann et al., 2011; Postuma et al., 2015; Rascovsky et al., 2011).”
From Thinking versus feeling: How interoception and cognition influence emotion recognition in behavioural-variant frontotemporal dementia, Alzheimer's disease, and Parkinson's disease (2023) · cites this paper as McKhann et al., 2011
In the citing paper
“AD patients present with predominant episodic memory loss and impaired executive functioning, with atrophy observed in the medial temporal lobe, most notably in the hippocampus and posterior cingulate (McKhann et al., 2011).”
From Thinking versus feeling: How interoception and cognition influence emotion recognition in behavioural-variant frontotemporal dementia, Alzheimer's disease, and Parkinson's disease (2023) · cites this paper as McKhann et al., 2011
In the citing paper
“A diagnosis of probable AD had been made prior to the study by neurologists at the Memory Center according to the clinical criteria of the National Institute on Aging and the Alzheimer’s Association criteria for probable AD [1].”
From The effects of confinement on neuropsychiatric symptoms in Alzheimer's disease during the COVID-19 crisis (2020) · cites this paper as [1]
In the citing paper
“The 3 major clinical criteria for the AD spectrum are the revised 2011 NIA-AA criteria, 32,39 the International Working Group (Dubois and colleagues 39,40 ) 2010 revised new lexicon criteria, and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria.41”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [32]
In the citing paper
“The 2011 National Institute on Aging and Alzheimer's Association (NIA-AA) criteria for AD recognizes nonamnestic AD presentations that include language, visuospatial, and executive dysfunction features.32”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [32]
In the citing paper
“dementia-level impairment requires cognitive or behavioral symptoms”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [32]
In the citing paper
“MCI diagnosis is a matter of”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [32]
In the citing paper
“With the advent of biomarkers that enable in vivo identification of underlying AD pathological conditions, and the acceptance that AD begins years before the emergence of cognitive impairment, AD is now commonly accepted as a clinicopathological entity7,8 that can be diagnosed without histopathological examination, in the presence of appropriate biomarker evidence of an underlying condition.6,8,9”
From Positron Emission Tomography Imaging With [ 18 F]flortaucipir and Postmortem Assessment of Alzheimer Disease Neuropathologic Changes (2020) · cites this paper as [8]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Self-citationAlbert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 7×
“Initial efforts to incorporate biomarkers into the diagnosis of AD dementia and MCI [14] need to be coupled with a more comprehensive approach to the diagnostic process.”
BackgroundInfluentialSelf-citationMild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Self-citationClassification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141 · cited 1×
“For example, Dementia with Lewy bodies [8], vascular dementia [9], behavior variant frontotemporal dementia [10–12], and primary progressive aphasia [13] have been characterized extensively.”
BackgroundSelf-citationDiagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium
McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O'Brien, J. T., Feldman, H., Cummings, J., Duda, J. E., Lippa, C., Perry, E. K., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187889.17253.b1 · Cited by 5,069
Frontotemporal lobar degeneration: A consensus on clinical diagnostic criteria
Neary, D., Snowden, J. S., Gustafson, L., Passant, U., Stuss, D., Black, S., Freedman, M., Kertesz, A., Robert, P. H., Albert, M., et al. (1998) · Neurology · doi:10.1212/wnl.51.6.1546 · Cited by 5,047
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946 · cited 1×
“It should be noted that the clinical syndrome, as summarized in this section and Table 1, is almost identical to the one previously described by Petersen et al [5,6,11].”
ResultSelf-citationRomán, G. C., Tatemichi, T. K., Erkinjuntti, T., Cummings, J. L., Masdeu, J. C., Garcia, J. H., Amaducci, L., Orgogozo, J.-M., Brun, A., Hofman, A., et al. (1993) · Neurology · doi:10.1212/wnl.43.2.250 · Cited by 4,921 · cited 1×
“For example, Dementia with Lewy bodies [8], vascular dementia [9], behavior variant frontotemporal dementia [10–12], and primary progressive aphasia [13] have been characterized extensively.”
Background
Cited by
Sorted by citations
Items 1,001–1,100 of 1,532
Karikari, T. K., Emeršič, A., Vrillon, A., Lantero‐Rodriguez, J., Ashton, N. J., Kramberger, M. G., Dumurgier, J., Hourregue, C., Čučnik, S., Brinkmalm, G., et al. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12236 · Cited by 143
Gender Differences in Alzheimer Disease: Brain Atrophy, Histopathology Burden, and Cognition
Filon, J. R., Intorcia, A. J., Sue, L. I., Vazquez Arreola, E., Wilson, J., Davis, K. J., Sabbagh, M. N., Belden, C. M., Caselli, R. J., Adler, C. H., et al. (2016) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlw047 · Cited by 143
“Clinically defined measures used in this study included age at cognitive symptom onset and cognitive symptom duration, the latter defined as the number of years between cognitive symptom onset and death (14).”
MethodDominantly Inherited Alzheimer Network: facilitating research and clinical trials
Moulder, K. L., Snider, B., Mills, S. L., Buckles, V. D., Santacruz, A. M., Bateman, R. J., & Morris, J. C. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt213 · Cited by 142
Self-citationEFNS task force: the use of neuroimaging in the diagnosis of dementia
Filippi, M., Agosta, F., Barkhof, F., Dubois, B., Fox, N. C., Frisoni, G. B., Jack, C. R., Johannsen, P., Miller, B. L., Nestor, P. J., et al. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2012.03859.x · Cited by 141
Self-citationLifetime risk and projected burden of dementia
Fang, M., Hu, J., Weiss, J., Knopman, D. S., Albert, M., Windham, B. G., Walker, K. A., Sharrett, A. R., Gottesman, R. F., Lutsey, P. L., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03340-9 · Cited by 153
“Dementia was initially diagnosed using an algorithm based on criteria recommended by the National Institute on Aging–Alzheimer’s Association diagnostic guidelines workgroups and the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders 40 .”
Self-citationMarkers of neuroinflammation associated with Alzheimer’s disease pathology in older adults
Popp, J., Oikonomidi, A., Tautvydaitė, D., Dayon, L., Bacher, M., Migliavacca, E., Henry, H., Kirkland, R., Severin, I., Wojcik, J., et al. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.01.020 · Cited by 136
Trial of pimavanserin in dementia-related psychosis
Tariot, P. N., Cummings, J. L., Soto-Martin, M. E., Ballard, C., Erten-Lyons, D., Sultzer, D. L., Devanand, D. P., Weintraub, D., McEvoy, B., Youakim, J. M., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2034634 · Cited by 145
Whole‐exome sequencing in 20,197 persons for rare variants in Alzheimer's disease
Raghavan, N. S., Brickman, A. M., Andrews, H., Manly, J. J., Schupf, N., Lantigua, R., Wolock, C. J., Kamalakaran, S., Petrovski, S., Tosto, G., et al. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.582 · Cited by 141
Self-citationFluorodeoxyglucose metabolism associated with tau‐amyloid interaction predicts memory decline
Hanseeuw, B. J., Betensky, R. A., Schultz, A. P., Papp, K. V., Mormino, E. C., Sepulcre, J., Bark, J. S., Cosio, D. M., LaPoint, M., Chhatwal, J. P., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24910 · Cited by 140
Gut Metagenomics-Derived Genes as Potential Biomarkers of Parkinson’s Disease
Qian, Y., Yang, X., Xu, S., Huang, P., Li, B., Du, J., He, Y., Su, B., Xu, L.-M., Wang, L., et al. (2020) · Brain · doi:10.1093/brain/awaa201 · Cited by 139
An algorithmic approach to structural imaging in dementia
Harper, L., Barkhof, F., Scheltens, P., Schott, J. M., & Fox, N. C. (2014) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2013-306285 · Cited by 137
Self-citationWhite matter hyperintensities in Alzheimer's disease: Beyond vascular contribution
Garnier‐Crussard, A., Cotton, F., Krolak‐Salmon, P., & Chételat, G. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13057 · Cited by 139
Gauthier, S., Patterson, C., Chertkow, H., Gordon, M., Herrmann, N., Rockwood, K., Rosa-Neto, P., & Soucy, J.-P. (2012) · Canadian Geriatrics Journal · doi:10.5770/cgj.15.49 · Cited by 137
Melo, H. M., Seixas da Silva, G. D. S., Sant’Ana, M. R., Teixeira, C. V. L., Clarke, J. R., Miya Coreixas, V. S., de Melo, B. C., Fortuna, J. T. S., Forny-Germano, L., Ledo, J. H., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.01.072 · Cited by 140
DEFINING DISEASE MODIFYING THERAPY FOR ALZHEIMER’S DISEASE
Cummings, J., & Fox, N. (2017) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2017.12 · Cited by 139
Burfeind, K. G., Murchison, C. F., Westaway, S. K., Simon, M. J., Erten‐Lyons, D., Kaye, J. A., Quinn, J. F., & Iliff, J. J. (2017) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.05.001 · Cited by 136
de Heus, R. A. A., Tzourio, C., Lee, E. J. L., Opozda, M., Vincent, A. D., Anstey, K. J., Hofman, A., Kario, K., Lattanzi, S., Launer, L. J., et al. (2021) · Hypertension · doi:10.1161/hypertensionaha.121.17797 · Cited by 138
Mick, P., Reed, M., & Pichora-Fuller, M. (2015) · Seminars in Hearing · doi:10.1055/s-0035-1555116 · Cited by 138
Recommendations for CSF AD biomarkers in the diagnostic evaluation of dementia
Simonsen, A. H., Herukka, S.-K., Andreasen, N., Baldeiras, I., Bjerke, M., Blennow, K., Engelborghs, S., Frisoni, G. B., Gabryelewicz, T., Galluzzi, S., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.09.008 · Cited by 138
Galectin-3 promotes Aβ oligomerization and Aβ toxicity in a mouse model of Alzheimer’s disease
Tao, C.-C., Cheng, K.-M., Ma, Y.-L., Hsu, W.-L., Chen, Y.-C., Fuh, J.-L., Lee, W.-J., Chao, C.-C., & Lee, E. H. Y. (2020) · Cell Death & Differentiation · doi:10.1038/s41418-019-0348-z · Cited by 138
Blackman, J., Swirski, M., Clynes, J., Harding, S., Leng, Y., & Coulthard, E. (2021) · Journal of Sleep Research · doi:10.1111/jsr.13229 · Cited by 141
Duits, F. H., Brinkmalm, G., Teunissen, C. E., Brinkmalm, A., Scheltens, P., Van der Flier, W. M., Zetterberg, H., & Blennow, K. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0335-x · Cited by 137
Self-citationLin, P., Zhong, Y., Fillit, H. M., Chen, E., & Neumann, P. J. (2016) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14227 · Cited by 127
Castellazzi, G., Cuzzoni, M. G., Cotta Ramusino, M., Martinelli, D., Denaro, F., Ricciardi, A., Vitali, P., Anzalone, N., Bernini, S., Palesi, F., et al. (2020) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2020.00025 · Cited by 135
Injury markers predict time to dementia in subjects with MCI and amyloid pathology
van Rossum, I. A., Vos, S. J. B., Burns, L., Knol, D. L., Scheltens, P., Soininen, H., Wahlund, L.-O., Hampel, H., Tsolaki, M., Minthon, L., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182704056 · Cited by 136
Self-citationKetogenic Medium Chain Triglycerides Increase Brain Energy Metabolism in Alzheimer’s Disease
Croteau, E., Castellano, C.-A., Richard, M. A., Fortier, M., Nugent, S., Lepage, M., Duchesne, S., Whittingstall, K., Turcotte, É. E., Bocti, C., et al. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180202 · Cited by 135
Research Gaps and Controversies in Chronic Traumatic Encephalopathy: A Review
Asken, B. M., Sullan, M. J., DeKosky, S. T., Jaffee, M. S., & Bauer, R. M. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.2396 · Cited by 135
Challenges of multimorbidity of the aging brain: a critical update
Jellinger, K. A., & Attems, J. (2015) · Journal of Neural Transmission · doi:10.1007/s00702-014-1288-x · Cited by 154
Trajectories of cognitive decline in different types of dementia
Smits, L. L., van Harten, A. C., Pijnenburg, Y. A. L., Koedam, E. L. G. E., Bouwman, F. H., Sistermans, N., Reuling, I. E. W., Prins, N. D., Lemstra, A. W., Scheltens, P., et al. (2015) · Psychological Medicine · doi:10.1017/s0033291714002153 · Cited by 134
Self-citationLópez-de-Ipiña, K., Alonso, J. B., Solé-Casals, J., Barroso, N., Henriquez, P., Faundez-Zanuy, M., Travieso, C. M., Ecay-Torres, M., Martínez-Lage, P., & Eguiraun, H. (2015) · Cognitive Computation · doi:10.1007/s12559-013-9229-9 · Cited by 132
Praet, J., Manyakov, N. V., Muchene, L., Mai, Z., Terzopoulos, V., de Backer, S., Torremans, A., Guns, P.-J., Van De Casteele, T., Bottelbergs, A., et al. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0329-8 · Cited by 133
Chakrabarti, S., Kumar Khemka, V., Banerjee, A., Chatterjee, G., Ganguly, A., & Biswas, A. (2015) · Aging and disease · doi:10.14336/ad.2014.002 · Cited by 134
Frontotemporal Lobar Degeneration: Epidemiology, Pathology, Diagnosis and Management
Seltman, R. E., & Matthews, B. R. (2012) · CNS Drugs · doi:10.2165/11640070-000000000-00000 · Cited by 132
When Does Alzheimer′s Disease Really Start? The Role of Biomarkers
Lloret, A., Esteve, D., Lloret, M.-A., Cervera-Ferri, A., Lopez, B., Nepomuceno, M., & Monllor, P. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20225536 · Cited by 131
Cornelis, E., Gorus, E., Beyer, I., Bautmans, I., & De Vriendt, P. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002250 · Cited by 133
Landin-Romero, R., Kumfor, F., Leyton, C. E., Irish, M., Hodges, J. R., & Piguet, O. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.032 · Cited by 116
M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer
Jang, J., & Hwang, D. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.02006 · Cited by 133
Keller, H., de van der Schueren, M. A. E., for the GLIM Consortium, Jensen, G. L., Barazzoni, R., Compher, C., Correia, M. I. T. D., Gonzalez, M. C., Jager‐Wittenaar, H., Pirlich, M., et al. (2020) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1806 · Cited by 131
Neurotheranostics as Personalized Medicines
Kevadiya, B. D., Ottemann, B. M., Thomas, M. B., Mukadam, I., Nigam, S., McMillan, J., Gorantla, S., Bronich, T. K., Edagwa, B., & Gendelman, H. E. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.10.011 · Cited by 124
Burns, D. K., Alexander, R. C., Welsh-Bohmer, K. A., Culp, M., Chiang, C., O’Neil, J., Evans, R. M., Harrigan, P., Plassman, B. L., Burke, J. R., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00043-0 · Cited by 130
Obesity, leptin, and Alzheimer's disease
Lee, E. B. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06274.x · Cited by 126
Scheltens, P., Hallikainen, M., Grimmer, T., Duning, T., Gouw, A. A., Teunissen, C. E., Wink, A. M., Maruff, P., Harrison, J., van Baal, C. M., et al. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-018-0431-6 · Cited by 129
Self-citationCSF sAPPβ, YKL-40, and neurofilament light in frontotemporal lobar degeneration
Alcolea, D., Vilaplana, E., Suárez-Calvet, M., Illán-Gala, I., Blesa, R., Clarimón, J., Lladó, A., Sánchez-Valle, R., Molinuevo, J. L., García-Ribas, G., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004088 · Cited by 123
Developing Effective Alzheimer’s Disease Therapies: Clinical Experience and Future Directions
Elmaleh, D. R., Farlow, M. R., Conti, P. S., Tompkins, R. G., Kundakovic, L., & Tanzi, R. E. (2019) · Journal of Alzheimer’s Disease · doi:10.3233/jad-190507 · Cited by 129
SORL1 rare variants: a major risk factor for familial early-onset Alzheimer’s disease
Nicolas, G., Charbonnier, C., Wallon, D., Quenez, O., Bellenguez, C., Grenier-Boley, B., Rousseau, S., Richard, A.-C., Rovelet-Lecrux, A., Le Guennec, K., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.121 · Cited by 129
Jack, C. R., Therneau, T. M., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Mielke, M. M., Vemuri, P., Roberts, R. O., Machulda, M. M., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00323-3 · Cited by 129
Self-citationPredicting progression from normal cognition to mild cognitive impairment for individuals at 5 years
Albert, M., Zhu, Y., Moghekar, A., Mori, S., Miller, M. I., Soldan, A., Pettigrew, C., Selnes, O., Li, S., & Wang, M.-C. (2018) · Brain · doi:10.1093/brain/awx365 · Cited by 118
Montoliu-Gaya, L., Benedet, A. L., Tissot, C., Vrillon, A., Ashton, N. J., Brum, W. S., Lantero-Rodriguez, J., Stevenson, J., Nilsson, J., Sauer, M., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00405-1 · Cited by 122
Moguilner, S., Baez, S., Hernandez, H., Migeot, J., Legaz, A., Gonzalez-Gomez, R., Farina, F. R., Prado, P., Cuadros, J., Tagliazucchi, E., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03209-x · Cited by 128
Tariot, P. N., Lopera, F., Langbaum, J. B., Thomas, R. G., Hendrix, S., Schneider, L. S., Rios‐Romenets, S., Giraldo, M., Acosta, N., Tobon, C., et al. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.02.002 · Cited by 128
Scialò, C., Tran, T. H., Salzano, G., Novi, G., Caponnetto, C., Chiò, A., Calvo, A., Canosa, A., Moda, F., Caroppo, P., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa142 · Cited by 123
Detecting Dementia Through Interactive Computer Avatars
Tanaka, H., Adachi, H., Ukita, N., Ikeda, M., Kazui, H., Kudo, T., & Nakamura, S. (2017) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2017.2752152 · Cited by 127
Nilotinib Effects on Safety, Tolerability, and Biomarkers in Alzheimer’s Disease
Turner, R. S., Hebron, M. L., Lawler, A., Mundel, E. E., Yusuf, N., Starr, J. N., Anjum, M., Pagan, F., Torres‐Yaghi, Y., Shi, W., et al. (2020) · Annals of Neurology · doi:10.1002/ana.25775 · Cited by 126
Patterns of cognitive decline prior to dementia in persons with mild cognitive impairment
Cloutier, S., Chertkow, H., Kergoat, M.-J., Gauthier, S., & Belleville, S. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-142910 · Cited by 124
Self-citationBernstein, A., Rogers, K. M., Possin, K. L., Steele, N. Z. R., Ritchie, C. S., Kramer, J. H., Geschwind, M., Higgins, J. J., Wohlgemuth, J., Pesano, R., et al. (2019) · BMC Health Services Research · doi:10.1186/s12913-019-4603-2 · Cited by 120
Genetic architecture of Alzheimer's disease
Neuner, S. M., TCW, J., & Goate, A. M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104976 · Cited by 126
“AD usually presents with deficits in short-term memory formation and disturbance of additional cognitive functions including word-finding, spatial orientation, reasoning, judgement, and problem-solving (Karantzoulis and Galvin, 2011; McKhann et al., 2011).”
BackgroundConnected speech features from picture description in Alzheimer's disease: a systematic review
Slegers, A., Filiou, R.-P., Montembeault, M., & Brambati, S. M. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170881 · Cited by 124
Shen, Y., Wang, H., Sun, Q., Yao, H., Keegan, A. P., Mullan, M., Wilson, J., Lista, S., Leyhe, T., Laske, C., et al. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.007 · Cited by 123
Clinical and imaging features of mixed Alzheimer and vascular pathologies
Chui, H. C., & Ramirez-Gomez, L. (2015) · Alzheimer's Research & Therapy · doi:10.1186/s13195-015-0104-7 · Cited by 124
PET/MR in Dementia and Other Neurodegenerative Diseases
Barthel, H., Schroeter, M. L., Hoffmann, K.-T., & Sabri, O. (2015) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2014.12.003 · Cited by 123
[ 11 C]PK11195 binding in Alzheimer disease and progressive supranuclear palsy
Passamonti, L., Rodríguez, P. V., Hong, Y. T., Allinson, K. S. J., Bevan-Jones, W. R., Williamson, D., Jones, P. S., Arnold, R., Borchert, R. J., Surendranathan, A., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005610 · Cited by 115
Magnetic Resonance Spectroscopy in Alzheimer’s Disease: Systematic Review and Meta-Analysis
Wang, H., Tan, L., Wang, H.-F., Liu, Y., Yin, R.-H., Wang, W.-Y., Chang, X.-L., Jiang, T., & Yu, J.-T. (2015) · Journal of Alzheimer’s Disease · doi:10.3233/jad-143225 · Cited by 123
Lehmann, M., Madison, C. M., Ghosh, P. M., Seeley, W. W., Mormino, E., Greicius, M. D., Gorno-Tempini, M. L., Kramer, J. H., Miller, B. L., Jagust, W. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221536110 · Cited by 122
Parker, T. D., Slattery, C. F., Zhang, J., Nicholas, J. M., Paterson, R. W., Foulkes, A. J. M., Malone, I. B., Thomas, D. L., Modat, M., Cash, D. M., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24056 · Cited by 122
Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.05.2186 · Cited by 120
Tracking neuroinflammation in Alzheimer’s disease: the role of positron emission tomography imaging
Zimmer, E. R., Leuzy, A., Benedet, A. L., Breitner, J., Gauthier, S., & Rosa-Neto, P. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-120 · Cited by 121
Gallagher, D., Kiss, A., Lanctot, K., & Herrmann, N. (2018) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2018.05.002 · Cited by 122
Brosseron, F., Traschütz, A., Widmann, C. N., Kummer, M. P., Tacik, P., Santarelli, F., Jessen, F., & Heneka, M. T. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-018-0353-3 · Cited by 113
“The AD cohort included patients with “probable Alzheimer’s disease” according to National Institute on Aging-Alzheimer’s Association criteria, supported by at least an intermediate level of evidence for AD pathology by CSF analysis or imaging [18].”
MethodNon-coding variability at the APOE locus contributes to the Alzheimer’s risk
Zhou, X., Chen, Y., Mok, K. Y., Kwok, T. C. Y., Mok, V. C. T., Guo, Q., Ip, F. C., Chen, Y., Mullapudi, N., Initiative, A. D. N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10945-z · Cited by 120
Self-citationVerheijen, J., Van den Bossche, T., van der Zee, J., Engelborghs, S., Sanchez-Valle, R., Lladó, A., Graff, C., Thonberg, H., Pastor, P., Ortega-Cubero, S., et al. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1566-9 · Cited by 112
Tayeb, H. O., Murray, E. D., Price, B. H., & Tarazi, F. I. (2013) · Expert Opinion on Biological Therapy · doi:10.1517/14712598.2013.789856 · Cited by 119
Cross-sectional associations of tau-PET signal with cognition in cognitively unimpaired adults
Lowe, V. J., Bruinsma, T. J., Wiste, H. J., Min, H.-K., Weigand, S. D., Fang, P., Senjem, M. L., Therneau, T. M., Boeve, B. F., Josephs, K. A., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000007728 · Cited by 107
Self-citationCellular senescence in aging and age-related diseases: Implications for neurodegenerative diseases
(2020) · International Review of Neurobiology · doi:10.1016/bs.irn.2020.03.019 · Cited by 114
In vivo retention of 18 F-AV-1451 in corticobasal syndrome
Smith, R., Schöll, M., Widner, H., van Westen, D., Svenningsson, P., Hägerström, D., Ohlsson, T., Jögi, J., Nilsson, C., & Hansson, O. (2017) · Neurology · doi:10.1212/wnl.0000000000004264 · Cited by 117
Serum neurofilament light chain in behavioral variant frontotemporal dementia
Steinacker, P., Anderl-Straub, S., Diehl-Schmid, J., Semler, E., Uttner, I., von Arnim, C. A. F., Barthel, H., Danek, A., Fassbender, K., Fliessbach, K., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000006318 · Cited by 116
Lopez Lopez, C., Tariot, P. N., Caputo, A., Langbaum, J. B., Liu, F., Riviere, M., Langlois, C., Rouzade‐Dominguez, M., Zalesak, M., Hendrix, S., et al. (2019) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.02.005 · Cited by 116
Yokoi, T., Watanabe, H., Yamaguchi, H., Bagarinao, E., Masuda, M., Imai, K., Ogura, A., Ohdake, R., Kawabata, K., Hara, K., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00304 · Cited by 116
Qiu, S., Chang, G. H., Panagia, M., Gopal, D. M., Au, R., & Kolachalama, V. B. (2018) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.08.013 · Cited by 110
Sha, S. J., Deutsch, G. K., Tian, L., Richardson, K., Coburn, M., Gaudioso, J. L., Marcal, T., Solomon, E., Boumis, A., Bet, A., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.3288 · Cited by 109
Assessment of Eating Behavior Disturbance and Associated Neural Networks in Frontotemporal Dementia
Ahmed, R. M., Irish, M., Henning, E., Dermody, N., Bartley, L., Kiernan, M. C., Piguet, O., Farooqi, S., & Hodges, J. R. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.4478 · Cited by 110
Agosta, F., Dalla Libera, D., Spinelli, E. G., Finardi, A., Canu, E., Bergami, A., Bocchio Chiavetto, L., Baronio, M., Comi, G., Martino, G., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24235 · Cited by 113
Alzheimer's disease including focal presentations
Villain, N., & Dubois, B. (2019) · Seminars in Neurology · doi:10.1055/s-0039-1681041 · Cited by 113
Interoception primes emotional processing: multimodal evidence from neurodegeneration
Salamone, P. C., Legaz, A., Sedeño, L., Moguilner, S., Fraile-Vazquez, M., Campo, C. G., Fittipaldi, S., Yoris, A., Miranda, M., Birba, A., et al. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.2578-20.2021 · Cited by 103
Aβ-amyloid and Tau Imaging in Dementia
Villemagne, V. L., Doré, V., Bourgeat, P., Burnham, S. C., Laws, S., Salvado, O., Masters, C. L., & Rowe, C. C. (2017) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2016.09.006 · Cited by 110
The effect of white matter hyperintensities on neurodegeneration in mild cognitive impairment
Tosto, G., Zimmerman, M. E., Hamilton, J. L., Carmichael, O. T., Brickman, A. M., & Initiative, A. D. N. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.014 · Cited by 112
Differential effect of APOE genotype on amyloid load and glucose metabolism in AD dementia
Ossenkoppele, R., van der Flier, W. M., Zwan, M. D., Adriaanse, S. F., Boellaard, R., Windhorst, A. D., Barkhof, F., Lammertsma, A. A., Scheltens, P., & van Berckel, B. N. M. (2013) · Neurology · doi:10.1212/wnl.0b013e31827f0889 · Cited by 112
Self-citationBrinkmalm, G., Sjödin, S., Simonsen, A. H., Hasselbalch, S. G., Zetterberg, H., Brinkmalm, A., & Blennow, K. (2018) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.201700131 · Cited by 111
Impaired capacity for prospection in the dementias—theoretical and clinical implications
Irish, M., & Piolino, P. (2016) · British Journal of Clinical Psychology · doi:10.1111/bjc.12090 · Cited by 107
Laganà, V., Bruno, F., Altomari, N., Bruni, G., Smirne, N., Curcio, S., Mirabelli, M., Colao, R., Puccio, G., Frangipane, F., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.832199 · Cited by 105
Teunissen, C. E., Elias, N., Koel‐Simmelink, M. J. A., Durieux‐Lu, S., Malekzadeh, A., Pham, T. V., Piersma, S. R., Beccari, T., Meeter, L. H. H., Dopper, E. G. P., et al. (2016) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.12.004 · Cited by 103
Lim, Y. Y., Villemagne, V. L., Laws, S. M., Ames, D., Pietrzak, R. H., Ellis, K. A., Harrington, K., Bourgeat, P., Bush, A. I., Martins, R. N., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086498 · Cited by 110
Toward the Treatment and Prevention of Alzheimer's Disease: Rational Strategies and Recent Progress
Gandy, S., & DeKosky, S. T. (2013) · Annual Review of Medicine · doi:10.1146/annurev-med-092611-084441 · Cited by 110
CSF N-glycoproteomics for early diagnosis in Alzheimer's disease
Palmigiano, A., Barone, R., Sturiale, L., Sanfilippo, C., Bua, R. O., Romeo, D. A., Messina, A., Capuana, M. L., Maci, T., Le Pira, F., et al. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2015.10.006 · Cited by 107
Analysis the Link between Periodontal Diseases and Alzheimer’s Disease: A Systematic Review
Borsa, L., Dubois, M., Sacco, G., & Lupi, L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18179312 · Cited by 109
A Primary Care Agenda for Brain Health: A Scientific Statement From the American Heart Association
Lazar, R. M., Howard, V. J., Kernan, W. N., Aparicio, H. J., Levine, D. A., Viera, A. J., Jordan, L. C., Nyenhuis, D. L., Possin, K. L., Sorond, F. A., et al. (2021) · Stroke · doi:10.1161/str.0000000000000367 · Cited by 109
Structural network efficiency predicts conversion to dementia
Tuladhar, A. M., van Uden, I. W. M., Rutten-Jacobs, L. C. A., Lawrence, A., van der Holst, H., van Norden, A., de Laat, K., van Dijk, E., Claassen, J. A. H. R., Kessels, R. P. C., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002502 · Cited by 109
Suárez‐Calvet, M., Capell, A., Araque Caballero, M. Á., Morenas‐Rodríguez, E., Fellerer, K., Franzmeier, N., Kleinberger, G., Eren, E., Deming, Y., Piccio, L., et al. (2018) · EMBO Molecular Medicine · doi:10.15252/emmm.201809712 · Cited by 109
Self-citationRovelet-Lecrux, A., Charbonnier, C., Wallon, D., Nicolas, G., Seaman, M. N. J., Pottier, C., Breusegem, S. Y., Mathur, P. P., Jenardhanan, P., Le Guennec, K., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.100 · Cited by 106
Li, H., Liu, C.-C., Zheng, H., & Huang, T. Y. (2018) · Translational Neurodegeneration · doi:10.1186/s40035-018-0139-3 · Cited by 103
Sabbagh, M. N., Lue, L.-F., Fayard, D., & Shi, J. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0069-5 · Cited by 107
“The current practice guideline is to incorporate structural imaging as part of the diagnostic evaluation for AD [2, 3] to exclude other conditions.”
BackgroundMethodInfluential
Metadata
- Authors
- McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., Mohs, R. C., Morris, J. C., Rossor, M. N., Scheltens, P., Carrillo, M. C., Thies, B., Weintraub, S., & Phelps, C. H.
- Affiliations
- Johns Hopkins University (US)
- Mayo Clinic (US)
- Lady Davis Institute for Medical Research (CA)
- Harvard University (US)
- University of California, Irvine (US)
- University of Pittsburgh (US)
- National Institute of Neurological Disorders and Stroke (US)
- Columbia University Irving Medical Center (US)
- Eli Lilly (United States) (US)
- Washington University in St. Louis (US)
- UCL Queen Square Institute of Neurology (GB)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Alzheimer's Association Chicago IL USA
- Alzheimer's Association (US)
- Department of Psychiatry Northwestern Feinberg School of Medicine Chicago IL USA
- National Institutes of Health (US)
- Corresponding author
- McKhann, Guy M.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2011-04-22
- Volume
- 7
- Issue
- 3
- Pages
- 263-269
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC3312024
- OpenAlex
- W2115017507
- Semantic Scholar
- 37d2d04f8c09da1f0cf8434a38a51841b5b703bf
- Cited by
- 18,657
- References
- 44
- Citations by year
- 2026: 893 · 2025: 1313 · 2024: 1585 · 2023: 1543 · 2022: 1670 · 2021: 1796 · 2020: 1602 · 2019: 1448 · 2018: 1297 · 2017: 1200 · 2016: 1088 · 2015: 1062 · 2014: 794 · 2013: 715 · 2012: 491
- FWCI
- 471.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institute on Aging
- Forest Pharmaceuticals
- Alzheimer's Association
- Fidelity Biosciences
- Baxter International
- Pfizer
- Johnson and Johnson
- Avid Radiopharmaceuticals
- GE Healthcare
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, dementia diagnosis
- MeSH terms
- Alzheimer Disease, Diagnosis, Differential, Diagnostic Imaging, Humans, Societies, Medical, United States, Biomarkers, Practice Guidelines as Topic, Disease Progression, National Institute on Aging (U.S.)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review