The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Classification criteria for mild cognitive impairment: A population-based validation study
Open accessAbstract
OBJECTIVE: To evaluate the predictive validity and temporal stability of diagnostic criteria for mild cognitive impairment (MCI). BACKGROUND: MCI has been proposed as a nosologic entity referring to elderly persons with subclinical cognitive deficits due to incipient dementia. Classification criteria, which have been derived from small, selected clinical groups, are currently disputed, and have not yet been assessed within the general population. METHODS: Subjects meeting current criteria for MCI and also age-associated cognitive decline (AACD-a similar concept that is assumed to be related to normal cognitive aging processes rather than incipient dementia) were identified within each of three waves of a longitudinal population study, which included a standardized neurologic examination. RESULTS: In the general population, the prevalence of MCI was estimated to be 3.2% and AACD 19.3%. MCI was a poor predictor of dementia within a 3-year period, with an 11.1% conversion rate. Subjects with MCI also constituted an unstable group, with almost all subjects changing category each year. Discriminant function analysis failed to isolate a homogeneous clinical group. Subjects classified as AACD, contrary to the theoretical assumptions underlying the disorder, represented a more stable group, with a 28.6% conversion rate to dementia over 3 years (relative risk = 21.2). CONCLUSION: MCI criteria perform poorly when applied to a representative population sample. The authors propose modifications to current diagnostic criteria to increase their capacity to detect incipient 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.
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
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
Mild cognitive impairment in the elderly: Predictors of dementia
Flicker, C., Ferris, S. H., & Reisberg, B. (1991) · Neurology · doi:10.1212/wnl.41.7.1006 · Cited by 838
Preclinical prediction of Alzheimer's disease using SPECT
Johnson, K. A., Jones, K., Holman, B. L., Becker, J. A., Spiers, P. A., Satlin, A., & Albert, M. S. (1998) · Neurology · doi:10.1212/wnl.50.6.1563 · Cited by 471 · cited 1×
“Previous clinical studies of MCI have suggested that subjects with MCI may have smaller medial temporal lobe volumes, 8-11 and that risk factors for progression from MCI to AD are higher age, the presence of the APOE e 4 allele, fine motor deficit, and lower premor-bid IQ.”
Background
Cited by
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
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Self-citationMitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659
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
O'Brien, J. T., Erkinjuntti, T., Reisberg, B., Roman, G., Sawada, T., Pantoni, L., Bowler, J. V., Ballard, C., DeCarli, C., Gorelick, P. B., et al. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00305-3 · Cited by 1,139
Grundman, M. (2004) · Archives of Neurology · doi:10.1001/archneur.61.1.59 · Cited by 972
Mild Cognitive Impairment as a Clinical Entity and Treatment Target
Petersen, R. C., & Morris, J. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.7.1160 · Cited by 935
Brain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875
Quantification of Five Neuropsychological Approaches to Defining Mild Cognitive Impairment
Jak, A. J., Bondi, M. W., Delano-Wood, L., Wierenga, C., Corey-Bloom, J., Salmon, D. P., & Delis, D. C. (2009) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31819431d5 · Cited by 823
Lopez, O. L., Jagust, W. J., DeKosky, S. T., Becker, J. T., Fitzpatrick, A., Dulberg, C., Breitner, J., Lyketsos, C., Jones, B., Kawas, C., et al. (2003) · Archives of Neurology · doi:10.1001/archneur.60.10.1385 · Cited by 618
Ancelin, M. L., Artero, S., Portet, F., Dupuy, A.-M., Touchon, J., & Ritchie, K. (2006) · BMJ · doi:10.1136/bmj.38740.439664.de · Cited by 589
Self-citationMild cognitive impairment: Long-term course of four clinical subtypes
Busse, A., Hensel, A., Gühne, U., Angermeyer, M. C., & Riedel-Heller, S. G. (2006) · Neurology · doi:10.1212/01.wnl.0000249117.23318.e1 · Cited by 561
Amnestic MCI or prodromal Alzheimer's disease?
Dubois, B., & Albert, M. L. (2004) · The Lancet Neurology · doi:10.1016/s1474-4422(04)00710-0 · Cited by 543
Language performance in Alzheimer's disease and mild cognitive impairment: A comparative review
Taler, V., & Phillips, N. A. (2008) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390701550128 · Cited by 529
Vascular risk factors, incidence of MCI, and rates of progression to dementia
Solfrizzi, V., Panza, F., Colacicco, A. M., D’Introno, A., Capurso, C., Torres, F., Grigoletto, F., Maggi, S., Del Parigi, A., Reiman, E. M., et al. (2004) · Neurology · doi:10.1212/01.wnl.0000144281.38555.e3 · Cited by 530
Morris, J. C., & Price, J. L. (2001) · Journal of Molecular Neuroscience · doi:10.1385/jmn:17:2:101 · Cited by 513
Conversion from subtypes of mild cognitive impairment to Alzheimer dementia
Fischer, P., Jungwirth, S., Zehetmayer, S., Weissgram, S., Hoenigschnabl, S., Gelpi, E., Krampla, W., & Tragl, K. H. (2007) · Neurology · doi:10.1212/01.wnl.0000252358.03285.9d · Cited by 471
Neuropathologic Substrate of Mild Cognitive Impairment
Markesbery, W. R., Schmitt, F. A., Kryscio, R. J., Davis, D. G., Smith, C. D., & Wekstein, D. R. (2006) · Archives of Neurology · doi:10.1001/archneur.63.1.38 · Cited by 460
Christensen, J., Aarøe, L., Baekgaard, M., Herd, P., & Moynihan, D. P. (2020) · Public Administration Review · doi:10.1111/puar.13134 · Cited by 458
“Estimates of mild cognitive impairment among adults aged 65 and older range from 10 percent to 20 percent and increase as individuals age, with the most rapid accelerations in decline and dementia happening after age 80 (Langa et al. 2008; Ritchie, Artero, and Touchon 2001).”
BackgroundSpatial patterns of cortical thinning in mild cognitive impairment and Alzheimer’s disease
Singh, V., Chertkow, H., Lerch, J. P., Evans, A. C., Dorr, A. E., & Kabani, N. J. (2006) · Brain · doi:10.1093/brain/awl256 · Cited by 386
Carrière, I., Fourrier-Reglat, A., Dartigues, J.-F., Rouaud, O., Pasquier, F., Ritchie, K., & Ancelin, M.-L. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.229 · Cited by 374
Self-citationIndependent predictors of cognitive decline in healthy elderly persons
Marquis, S., Moore, M. M., Howieson, D. B., Sexton, G., Payami, H., Kaye, J. A., & Camicioli, R. (2002) · Archives of Neurology · doi:10.1001/archneur.59.4.601 · Cited by 344
U1 small nuclear ribonucleoprotein complex and RNA splicing alterations in Alzheimer’s disease
Bai, B., Hales, C. M., Chen, P.-C., Gozal, Y., Dammer, E. B., Fritz, J. J., Wang, X., Xia, Q., Duong, D. M., Street, C., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310249110 · Cited by 335
Tervo, S., Kivipelto, M., Hänninen, T., Vanhanen, M., Hallikainen, M., Mannermaa, A., & Soininen, H. (2004) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000076356 · Cited by 298
“Catastrophic” pathways to smoking cessation: findings from national survey
West, R., & Sohal, T. (2006) · BMJ · doi:10.1136/bmj.38723.573866.ae · Cited by 287
Risk profiles for mild cognitive impairment and progression to dementia are gender specific
Artero, S., Ancelin, M.-L., Portet, F., Dupuy, A., Berr, C., Dartigues, J.-F., Tzourio, C., Rouaud, O., Poncet, M., Pasquier, F., et al. (2008) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.136903 · Cited by 281
Self-citationA systematic review of cognitive decline in the general elderly population
Park, H. L., O'Connell, J. E., & Thomson, R. G. (2003) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1023 · Cited by 279
Diffusion tensor imaging in mild cognitive impairment and Alzheimerʼs disease: a review
Chua, T. C., Wen, W., Slavin, M. J., & Sachdev, P. S. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3282f4594b · Cited by 273
Neuropsychological tests accurately predict incident Alzheimer disease after 5 and 10 years
Tierney, M. C., Yao, C., Kiss, A., & McDowell, I. (2005) · Neurology · doi:10.1212/01.wnl.0000163773.21794.0b · Cited by 274
Manly, J. J., Bell-McGinty, S., Tang, M.-X., Schupf, N., Stern, Y., & Mayeux, R. (2005) · Archives of Neurology · doi:10.1001/archneur.62.11.1739 · Cited by 266
Acosta-Baena, N., Sepulveda-Falla, D., Lopera-Gómez, C. M., Jaramillo-Elorza, M. C., Moreno, S., Aguirre-Acevedo, D. C., Saldarriaga, A., & Lopera, F. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70323-9 · Cited by 263
Rabin, L. A., Paré, N., Saykin, A. J., Brown, M. J., Wishart, H. A., Flashman, L. A., & Santulli, R. B. (2009) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580902825220 · Cited by 256
Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease
Duara, R., Loewenstein, D. A., Potter, E., Appel, J., Greig, M. T., Urs, R., Shen, Q., Raj, A., Small, B., Barker, W., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000336925.79704.9f · Cited by 256
Szatloczki, G., Hoffmann, I., Vincze, V., Kalman, J., & Pakaski, M. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00195 · Cited by 249
Sachdev, P. S., Lipnicki, D. M., Crawford, J., Reppermund, S., Kochan, N. A., Trollor, J. N., Wen, W., Draper, B., Slavin, M. J., Kang, K., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059649 · Cited by 193
Transitions to mild cognitive impairments, dementia, and death: findings from the Nun Study
Tyas, S. L., Salazar, J. C., Snowdon, D. A., Desrosiers, M. F., Riley, K. P., Mendiondo, M. S., & Kryscio, R. J. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm085 · Cited by 163
Recollection- and familiarity-based memory in healthy aging and amnestic mild cognitive impairment.
Anderson, N. D., Ebert, P. L., Jennings, J. M., Grady, C. L., Cabeza, R., & Graham, S. J. (2008) · Neuropsychology · doi:10.1037/0894-4105.22.2.177 · Cited by 154
Reduced cerebral glucose metabolism in patients at risk for Alzheimer's disease
Hunt, A., Schönknecht, P., Henze, M., Seidl, U., Haberkorn, U., & Schröder, J. (2007) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2006.12.003 · Cited by 146
MRI predictors of cognitive change in a diverse and carefully characterized elderly population
Carmichael, O., Mungas, D., Beckett, L., Harvey, D., Tomaszewski Farias, S., Reed, B., Olichney, J., Miller, J., & DeCarli, C. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.01.021 · Cited by 117
Damiano, R. F., Guedes, B. F., de Rocca, C. C., de Pádua Serafim, A., Castro, L. H. M., Munhoz, C. D., Nitrini, R., Filho, G. B., Miguel, E. C., Lucchetti, G., et al. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01286-4 · Cited by 98
Naik, S., Banerjee, A., Bapi, R. S., Deco, G., & Roy, D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.007 · Cited by 89
Predictive Value of Mild Cognitive Impairment for Dementia
Baars, M. A. E., van Boxtel, M. P. J., Dijkstra, J. B., Visser, P. J., van den Akker, M., Verhey, F. R. J., & Jolles, J. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000200465 · Cited by 87
A Cochrane review on brain [18F]FDG PET in dementia: limitations and future perspectives
On behalf of the European Association of Nuclear Medicine, Morbelli, S., Garibotto, V., Van De Giessen, E., Arbizu, J., Chételat, G., Drezgza, A., Hesse, S., Lammertsma, A. A., Law, I., et al. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3098-2 · Cited by 61
Beydoun, M. A., Kaufman, J. S., Sloane, P. D., Heiss, G., & Ibrahim, J. (2008) · Public Health Nutrition · doi:10.1017/s1368980007000080 · Cited by 53
Damian, M., Hausner, L., Jekel, K., Richter, M., Froelich, L., Almkvist, O., Boada, M., Bullock, R., De Deyn, P. P., Frisoni, G. B., et al. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000348354 · Cited by 53
Self-citationRole of cognitive reserve in progression from mild cognitive impairment to dementia
Allegri, R. F., Taragano, F. E., Krupitzki, H., Serrano, C. M., Dillon, C., Sarasola, D., Feldman, M., Tufró, G., Martelli, M., & Sanchez, V. (2010) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642010dn40100005 · Cited by 53
“36-38 In our study, education level and occupational complexity can be divided into late age as the active factor, and global IQ and old age as the passive factor.”
Kumar, R., Parslow, R. A., Jorm, A. F., Rosenman, S. J., Maller, J., Meslin, C., Anstey, K. J., Christensen, H., & Sachdev, P. S. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000089251 · Cited by 31
Metadata
- Authors
- Ritchie, K., Artero, S., & Touchon, J.
- Venue
- Neurology
- Published
- 2001-01-09
- Volume
- 56
- Issue
- 1
- Pages
- 37-42
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2051274997
- Cited by
- 835
- References
- 3
- FWCI
- 24.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
