The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Mild cognitive impairment: prevalence, prognosis, aetiology, and treatment
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.
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
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Mild 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
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Probability of stroke: a risk profile from the Framingham Study.
Wolf, P. A., D'Agostino, R. B., Belanger, A. J., & Kannel, W. B. (1991) · Stroke · doi:10.1161/01.str.22.3.312 · Cited by 1,782
Brain Infarction and the Clinical Expression of Alzheimer Disease<subtitle>The Nun Study</subtitle>
Snowdon, D. A. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540340047031 · Cited by 1,590
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Natural history of mild cognitive impairment in older persons
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Beckett, L. A., Aggarwal, N. T., Barnes, L. L., Fox, J. H., & Bach, J. (2002) · Neurology · doi:10.1212/wnl.59.2.198 · Cited by 1,037
Midlife blood pressure and dementia: the Honolulu–Asia aging study☆
Launer, L. J., Ross, G. W., Petrovitch, H., Masaki, K., Foley, D., White, L. R., & Havlik, R. J. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00096-8 · Cited by 1,008
Morris, J. C., & Price, J. L. (2001) · Journal of Molecular Neuroscience · doi:10.1385/jmn:17:2:101 · Cited by 513
Cited by
Dementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072
Hansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700
Mild Cognitive Impairment: Ten Years Later
Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.266 · Cited by 1,447
CSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291
Smith, A. D., Smith, S. M., de Jager, C. A., Whitbread, P., Johnston, C., Agacinski, G., Oulhaj, A., Bradley, K. M., Jacoby, R., & Refsum, H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012244 · Cited by 813
“Since approximately half of those with MCI convert to Alzheimer’s disease or to another form of dementia within 5 years [42], there is an urgent need to identify treatments that will slow down or prevent the conversion [43].”
Mediterranean Diet and Mild Cognitive Impairment
Scarmeas, N., Stern, Y., Mayeux, R., Manly, J. J., Schupf, N., & Luchsinger, J. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2008.536 · Cited by 757
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., Beiser, A., D’Agostino, R., & Wolf, P. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.05.004 · Cited by 680
Self-citationMultimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
Liu, S., Liu, S., Cai, W., Che, H., Pujol, S., Kikinis, R., Feng, D., Fulham, M. J., & ADNI (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2372011 · Cited by 637
Heart rate variability and cognitive function: a systematic review
Forte, G., Favieri, F., & Casagrande, M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00710 · Cited by 587
Jack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., Bernstein, M. A., Gunter, J. L., Pankratz, V. S., Aisen, P. S., et al. (2010) · Brain · doi:10.1093/brain/awq277 · Cited by 531
Oxidative DNA damage in mild cognitive impairment and late-stage Alzheimer's disease
Lovell, M. A., & Markesbery, W. R. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm821 · Cited by 515
Physical Exercise, Aging, and Mild Cognitive Impairment: A Population-Based Study
Geda, Y. E., Roberts, R. O., Knopman, D. S., Christianson, T. J. H., Pankratz, V. S., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2010) · Archives of Neurology · doi:10.1001/archneurol.2009.297 · Cited by 371
Spoken Language Derived Measures for Detecting Mild Cognitive Impairment
Roark, B., Mitchell, M., Hosom, J.-P., Hollingshead, K., & Kaye, J. (2011) · IEEE Transactions on Audio, Speech, and Language Processing · doi:10.1109/tasl.2011.2112351 · Cited by 355
Waite, L. M., Grayson, D. A., Piguet, O., Creasey, H., Bennett, H. P., & Broe, G. A. (2005) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2004.11.009 · Cited by 269
Increased oxidative damage in nuclear and mitochondrial DNA in mild cognitive impairment
Wang, J., Markesbery, W. R., & Lovell, M. A. (2006) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2005.03615.x · Cited by 260
Brain fluorodeoxyglucose (FDG) PET in dementia
Kato, T., Inui, Y., Nakamura, A., & Ito, K. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.003 · Cited by 236
Vascular determinants of cholinergic deficits in Alzheimer disease and vascular dementia.
Román, G. C., & Kalaria, R. N. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.10.004 · Cited by 213
Circulating miRNAs as Biomarkers for Neurodegenerative Disorders
Grasso, M., Piscopo, P., Confaloni, A., & Denti, M. (2014) · Molecules · doi:10.3390/molecules19056891 · Cited by 208
Does Alzheimer's disease begin in the brainstem?
Simic, G., Stanic, G., Mladinov, M., Jovanov‐Milosevic, N., Kostovic, I., & Hof, P. R. (2009) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2009.01038.x · Cited by 204
Plasma microRNA biomarkers for detection of mild cognitive impairment
Sheinerman, K. S., Tsivinsky, V. G., Crawford, F., Mullan, M. J., Abdullah, L., & Umansky, S. R. (2012) · Aging · doi:10.18632/aging.100486 · Cited by 188
Rasquin, S. M. C., Lodder, J., Visser, P. J., Lousberg, R., & Verhey, F. R. J. (2005) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000082662 · Cited by 187
Molecular diagnostics of neurodegenerative disorders
Agrawal, M., & Biswas, A. (2015) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2015.00054 · Cited by 164
DELANO-WOOD, L., BONDI, M. W., SACCO, J., ABELES, N., JAK, A. J., LIBON, D. J., & BOZOKI, A. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990257 · Cited by 155
CSF biomarkers for mild cognitive impairment
Blennow, K. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01368.x · Cited by 151
Miraglia, F., Vecchio, F., Bramanti, P., & Rossini, P. M. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.07.040 · Cited by 150
The heterogeneity of mild cognitive impairment: A neuropsychological analysis
LIBON, D. J., XIE, S. X., EPPIG, J., WICAS, G., LAMAR, M., LIPPA, C., BETTCHER, B. M., PRICE, C. C., GIOVANNETTI, T., SWENSON, R., et al. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990993 · Cited by 130
González‐Domínguez, R., García, A., García‐Barrera, T., Barbas, C., & Gómez‐Ariza, J. L. (2014) · ELECTROPHORESIS · doi:10.1002/elps.201400196 · Cited by 119
Cellular 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
“Mild cognitive impairment can be a transitional stage between normal aging and AD, representing the first stage in which clinical symptoms become evident (DeCarli, 2003).”
BackgroundInfluentialLovell, M. A. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-0992 · Cited by 87
Innes, K. E., & Selfe, T. K. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00040 · Cited by 72
Blanco, K., Salcidua, S., Orellana, P., Sauma-Pérez, T., León, T., Steinmetz, L. C. L., Ibañez, A., Duran-Aniotz, C., & de la Cruz, R. (2023) · Alzheimer's Research & Therapy · doi:10.1186/s13195-023-01304-8 · Cited by 73
Zhu, R.-Z., Chen, M.-Q., Zhang, Z.-W., Wu, T.-Y., & Zhao, W.-H. (2021) · Nutrition · doi:10.1016/j.nut.2021.111355 · Cited by 61
Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns
Kwak, K., Giovanello, K. S., Bozoki, A., Styner, M., & Dayan, E. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100467 · Cited by 47
Meditation and cognitive ageing: the role of mindfulness meditation in building cognitive reserve.
Malinowski, P., & Shalamanova, L. (2017) · Journal of Cognitive Enhancement · doi:10.1007/s41465-017-0022-7 · Cited by 50
CSF tau and β-amyloid as biomarkers for mild cognitive impairment
Hampel, H., & Blennow, K. (2004) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2004.6.4/hhampel · Cited by 52
Papma, J. M., den Heijer, T., de Koning, I., Mattace-Raso, F. U., van der Lugt, A., van der Lijn, F., van Swieten, J. C., Koudstaal, P. J., Smits, M., & Prins, N. D. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2012.11.005 · Cited by 48
Jang, H., Park, J., Woo, S., Kim, S., Kim, H. J., Na, D. L., Lockhart, S. N., Kim, Y., Kim, K. W., Cho, S. H., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101941 · Cited by 46
Metadata
- Authors
- DeCarli, C.
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2003-01
- Volume
- 2
- Issue
- 1
- Pages
- 15-21
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W2158926311
- Cited by
- 573
- References
- 17
- FWCI
- 11.92
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
