Cited by 428Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Subjective cognitive decline and rates of incident Alzheimer's disease and non-Alzheimer's disease dementia

Open access

Slot, Rosalinde E.R., Sikkes, Sietske A.M., Berkhof, Johannes, Brodaty, Henry, Buckley, Rachel, Cavedo, Enrica, Dardiotis, Efthimios, Guillo‐Benarous, Francoise, Hampel, Harald, Kochan, Nicole A., Lista, Simone, Luck, Tobias, Maruff, Paul, Molinuevo, José Luis, Kornhuber, Johannes, Reisberg, Barry, Riedel‐Heller, Steffi G., Risacher, Shannon L., Roehr, Susanne, Sachdev, Perminder S., Scarmeas, Nikolaos, Scheltens, Philip, Shulman, Melanie B., Saykin, Andrew J., Verfaillie, Sander C.J., Visser, Pieter Jelle, Vos, Stephanie J.B., Wagner, Michael, Wolfsgruber, Steffen, Jessen, Frank, the Alzheimer's Disease Neuroimaging Initiative, the DESCRIPA working group, the INSIGHT‐preAD study group, SCD‐I working group, van der Flier, Wiesje M.·2019·Alzheimer's & Dementia

DOI 10.1016/j.jalz.2018.10.003PMC PMC6465066

Open this paper in CoChat — free account Open PDF

Abstract

INTRODUCTION: In this multicenter study on subjective cognitive decline (SCD) in community-based and memory clinic settings, we assessed the (1) incidence of Alzheimer's disease (AD) and non-AD dementia and (2) determinants of progression to dementia. METHODS: Eleven cohorts provided 2978 participants with SCD and 1391 controls. We estimated dementia incidence and identified risk factors using Cox proportional hazards models. RESULTS: In SCD, incidence of dementia was 17.7 (95% Poisson confidence interval 15.2-20.3)/1000 person-years (AD: 11.5 [9.6-13.7], non-AD: 6.1 [4.7-7.7]), compared with 14.2 (11.3-17.6) in controls (AD: 10.1 [7.7-13.0], non-AD: 4.1 [2.6-6.0]). The risk of dementia was strongly increased in SCD in a memory clinic setting but less so in a community-based setting. In addition, higher age (hazard ratio 1.1 [95% confidence interval 1.1-1.1]), lower Mini-Mental State Examination (0.7 [0.66-0.8]), and apolipoprotein E ε4 (1.8 [1.3-2.5]) increased the risk of dementia. DISCUSSION: SCD can precede both AD and non-AD dementia. Despite their younger age, individuals with SCD in a memory clinic setting have a higher risk of dementia than those in community-based cohorts.

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

Crossref · 10.1016/j.jalz.2018.10.003

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Fig. 1. Flowchart of participant selection. Overview of inclusion of participants. Abbreviations: MCI, mild cognitive impairment; SCD, subjective cognitive decline.CC BY-NC-ND · PubMed Central

Fig. 2. Type of dementia diagnosis in memory clinic and community settings. Dementia diagnoses per type of recruitment setting. Total number of dementia diagnoses: memory clinic n = 107, community n = 87. Results are represented as N (%).CC BY-NC-ND · PubMed Central

Fig. 3. Incidence rates of dementia and AD and non-AD dementia. (A) Incidence rates of dementia per decade in individuals with SCD and controls. (B) Incidence rates of AD and non-AD dementia per decade. Results are presented as incidence rates per 1000 person-years (95% Poisson confidence intervals) per decade. Abbreviations: AD, Alzheimer’s disease; CI, confidence interval; SCD, subjective cognitive decline.CC BY-NC-ND · PubMed Central

Fig. 4. Kaplan-Meier curves of cumulative risk of dementia in controls and individuals with subjective cognitive decline in memory clinic and community cohorts. Kaplan-Meier curves of the cumulative risk of progression to dementia per decade, stratified for recruitment setting.CC BY-NC-ND · PubMed Central

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

“Mini-mental state”
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
Clinical diagnosis of Alzheimer's disease: Report of the NINCDS‐ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease
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
[Japanese version of the Neuropsychiatric Inventory--a scoring system for neuropsychiatric disturbance in dementia patients].
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Special Care Units and Traditional Care in Dementia: Relationship with Behavior, Cognition, Functional Status and Quality of Life - A Review
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,852
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,007
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
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., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
Albert, 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
Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer's Disease in Late Onset Families
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease
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

Show all 61 references

Sorted by citations

Items 101–200 of 428

Increased Cerebrospinal Fluid Concentration of ZnT3 Is Associated with Cognitive Impairment in Alzheimer’s Disease
Enache, D., Pereira, J. B., Jelić, V., Winblad, B. G., Nilsson, P., Aarsland, D., & Bereczki, E. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200498 · Cited by 23
Tau levels are higher in objective subtle cognitive decline but not subjective memory complaint
Thomas, K. R., Weigand, A. J., Edwards, L. C., Edmonds, E. C., Bangen, K. J., Ortiz, G., Walker, K. S., Bondi, M. W., & Initiative, A. D. N. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01060-1 · Cited by 23
Blood biomarkers confirm subjective cognitive decline (SCD) as a distinct molecular and clinical stage within the NIA-AA framework of Alzheimer´s disease
Mengel, D., Soter, E., Ott, J. M., Wacker, M., Leyva, A., Peters, O., Hellmann‐Regen, J., Schneider, L., Wang, X., Priller, J., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03021-0 · Cited by 20
Lifestyle Variables Such as Daily Internet Use, as Promising Protective Factors against Cognitive Impairment in Patients with Subjective Memory Complaints. Preliminary Results
Ramos, H., Alacreu, M., Guerrero, M. D., Sánchez, R. M., & Moreno, L. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11121366 · Cited by 20
ApoJ/Clusterin concentrations are determinants of cerebrospinal fluid cholesterol efflux capacity and reduced levels are associated with Alzheimer’s disease
Ko, Y.-A., Billheimer, J. T., Lyssenko, N. N., Kueider‐Paisley, A., Wolk, D. A., Arnold, S. E., Leung, Y. Y., Shaw, L. M. J., Trojanowski, J. Q., Kaddurah‐Daouk, R., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01119-z · Cited by 23
Dietary Patterns Are Related to Clinical Characteristics in Memory Clinic Patients with Subjective Cognitive Decline: The SCIENCe Project
Wesselman, L. M. P., Doorduijn, A. S., de Leeuw, F. A., Verfaillie, S. C. J., van Leeuwenstijn‐Koopman, M., Slot, R. E. R., Kester, M. I., Prins, N. D., van de Rest, O., de van der Schueren, M. A. E., et al. (2019) · Nutrients · doi:10.3390/nu11051057 · Cited by 20
Memory Function and Brain Functional Connectivity Adaptations Following Multiple-Modality Exercise and Mind–Motor Training in Older Adults at Risk of Dementia: An Exploratory Sub-Study
Silva, N. C. B. S., Nagamatsu, L. S., Gill, D. P., Owen, A. M., & Petrella, R. J. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00022 · Cited by 22
An approach to classifying subjective cognitive decline in community‐dwelling elders
Rabin, L. A., Wang, C., Mogle, J. A., Lipton, R. B., Derby, C. A., & Katz, M. J. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12103 · Cited by 19
Heterogeneity of effects of cognitive reserve on performance in probable Alzheimer’s disease and in subjective cognitive decline.
Montemurro, S., Mondini, S., & Arcara, G. (2021) · Neuropsychology · doi:10.1037/neu0000770 · Cited by 20
The economic burden of subjective cognitive decline, mild cognitive impairment and Alzheimer's dementia: excess costs and associated clinical and risk factors
Gläser, E., Kilimann, I., Platen, M., Hoffmann, W. U., Brosseron, F., Büerger, K., Coenjaerts, M., Düzel, E., Ewers, M., Fließbach, K., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01785-9 · Cited by 19
Mild cognitive impairment and neuropsychological examination
Hessen, E. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1662151 · Cited by 20
Functional cognitive disorder in subjective cognitive decline—A 10‐year follow‐up
Schwilk, N., Klöppel, S., Schmidtke, K., & Metternich, B. (2020) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5466 · Cited by 20
Social cognition deficits and biometric signatures in the behavioural variant of Alzheimer’s disease
Singleton, E. H., Fieldhouse, J. L. P., Hooft, J. J. V. ’., Scarioni, M., van Engelen, M. E., Sikkes, S. A. M., de Boer, C., Bocancea, D. I., van den Berg, E., Scheltens, P., et al. (2022) · Brain · doi:10.1093/brain/awac382 · Cited by 19
Computer‐assisted prediction of clinical progression in the earliest stages of AD
Rhodius‐Meester, H. F. M., Liedes, H., Koikkalainen, J. R., Wolfsgruber, S., Coll‐Padrós, N., Kornhuber, J., Peters, O., Jessen, F., Kleineidam, L., Molinuevo, J. L., et al. (2018) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.09.001 · Cited by 19
The meta-memory ratio: a new cohort-independent way to measure cognitive awareness in asymptomatic individuals at risk for Alzheimer’s disease
for ADNI; for the INSIGHT-preAD study group, Gagliardi, G. P., Houot, M., Cacciamani, F., Habert, M., Dubois, B., & Epelbaum, S. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00626-1 · Cited by 21
Self-reported subjective cognitive decline is associated with global cognition in a community sample of Latinos/as/x living in the United States
Nakhla, M. Z., Cohen, L., Salmon, D. P., Smirnov, D. S., Marquine, M. J., Moore, A. A., Schiehser, D. M., & Zlatar, Z. Z. (2021) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2021.1989381 · Cited by 21
The global, regional, and national burden and attributable risk factors of Alzheimer's disease and other dementias, 1990-2021: A systematic analysis for the Global Burden of Disease Study
Yin, M., Ding, S., Zhao, M., Liu, J., Su, W., Fu, M., Wu, M., Ma, C., Sun, X., & Kong, Y. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251360221 · Cited by 18
Longitudinal Blood-Based Biomarkers and Clinical Progression in Subjective Cognitive Decline
Trieu, C., van Harten, A. C., van Leeuwenstijn, M. S. S. A., Schlüter, L., Boonkamp, L., Aladdin, A., Sikkes, S. A. M., van de Giessen, E., Verberk, I. M. W., Teunissen, C. E., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.45862 · Cited by 18
PTSD and Depressive Symptoms as Potential Mediators of the Association between World Trade Center Exposure and Subjective Cognitive Concerns in Rescue/Recovery Workers
Singh, A., Zeig‐Owens, R., Rabin, L. A., Schwartz, T. M., Webber, M. P., Appel, D. K., Prezant, D. J., & Hall, C. B. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165683 · Cited by 19
The Cognitive Difficulties Scale (CDS): Psychometric Characteristics in a Clinical Referral Sample
Gass, C. S., Patten, B., Peñate, A., & Rhodes, A. (2020) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617720001058 · Cited by 21
Subjective cognitive decline in Brazil: Prevalence and association with dementia modifiable risk factors in a population‐based study
Borelli, W. V., Zimmer, E. R., Bieger, A., Coelho, B. B., Pascoal, T. A., Chaves, M. L. F., Amariglio, R. E., & Castilhos, R. M. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12368 · Cited by 19
Linking self-perceived cognitive functioning questionnaires using item response theory: The subjective cognitive decline initiative.
Rabin, L. A., Initiative, T. A. D. N., Sikkes, S. A. M., Tommet, D., Jones, R. N., Crane, P. K., Elbulok-Charcape, M. M., Dubbelman, M. A., Koscik, R. L., Amariglio, R. E., et al. (2023) · Neuropsychology · doi:10.1037/neu0000888 · Cited by 23
Amyloid and SCD jointly predict cognitive decline across Chinese and German cohorts
Shao, K., Hu, X., Kleineidam, L., Stark, M., Altenstein, S., Amthauer, H., Boecker, H., Buchert, R., Büerger, K., Butryn, M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14119 · Cited by 18
The Validity of the Norwegian Version of the Cognitive Function Instrument
Michelet, M., Engedal, K., Selbæk, G., Lund, A. D., Bjørkløf, G. H., Horndalsveen, P. O., & Bergh, S. (2018) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000493463 · Cited by 18
Cerebrovascular disease in patients with cognitive impairment: A white paper from the ESO dementia committee – A practical point of view with suggestions for the management of cerebrovascular diseases in memory clinics
Verdelho, A., Biessels, G. J., Chabriat, H., Charidimou, A., Duering, M., Godefroy, O., Pantoni, L., Pavlovic, A. M., & Wardlaw, J. M. (2021) · European Stroke Journal · doi:10.1177/2396987321994294 · Cited by 18
Exploring Network Properties Across Preclinical Stages of Alzheimer’s Disease Using a Visual Short-Term Memory and Attention Task with High-Density Electroencephalography: A Brain-Connectome Neurophysiological Study
Lazarou, I., Georgiadis, K., Nikolopoulos, S., Oikonomou, V. P., Stavropoulos, T. G., Tsolaki, A., Kompatsiaris, I. Y., & Tsolaki, M. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215421 · Cited by 17
The relationship between physical activity and subjective cognitive decline: Evidence from the behavioral risk factor surveillance system (BRFSS)
Xu, P., Zhang, F., Cheng, J., Huang, Y., Ren, Z., Ye, R., Fan, J., Li, L., & Gao, Y. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.02.045 · Cited by 18
Subjective cognitive complaints and blood biomarkers of neurodegenerative diseases: a longitudinal cohort study
Perna, L., Stocker, H. R., Burow, L., Beyer, L., Trares, K., Kurz, C., Guersel, S., Holleczek, B., Tatò, M., Beyreuther, K. T., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01341-3 · Cited by 17
Subjective Cognitive Decline in a Registry Sample: Relation to Psychiatric History, Loneliness, and Personality
Reynolds, G., Manning, L., Kirn, D. R., Klein, H., Hampton, O. L., Burke, O., Buckley, R. F., Rentz, D. M., Sperling, R. A., Marshall, G. A., et al. (2022) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2022.31 · Cited by 16
The frequency of self-reported memory failures is influenced by everyday context across the lifespan: Implications for neuropsychology research and clinical practice
Tassoni, M. B., Drabick, D. A. G., & Giovannetti, T. (2022) · The Clinical Neuropsychologist · doi:10.1080/13854046.2022.2112297 · Cited by 16
A novel dual-task paradigm with story recall shows significant differences in the gait kinematics in older adults with cognitive impairment: A cross-sectional study
Ali, N., Liu, J. H., Tian, H., Pan, W., Tang, Y., Zhong, Q., Gao, Y., Xiao, M., Wu, H., Sun, C., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.992873 · Cited by 18
Pathways between multiple sclerosis, sleep disorders, and cognitive function: Longitudinal findings from The Nurses’ Health Study
Braley, T. J., Shieu, M. M., Zaheed, A. B., & Dunietz, G. L. (2023) · Multiple Sclerosis Journal · doi:10.1177/13524585221144215 · Cited by 16
Association Between Postoperative Delirium and Long-Term Subjective Cognitive Decline in Older Patients Undergoing Cardiac Surgery: A Secondary Analysis of the Minimizing Intensive Care Unit Neurological Dysfunction with Dexmedetomidine-Induced Sleep Trial
Namirembe, G. E., Baker, S., Albanese, M. L., Mueller, A., Qu, J. Z., Mekonnen, J., Wiredu, K., Westover, M. B., Houle, T. T., & Akeju, O. (2023) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2023.04.035 · Cited by 20
Altered cortical and subcortical morphometric features and asymmetries in the subjective cognitive decline and mild cognitive impairment
Yang, J., Liang, L., Wei, Y., Liu, Y., Li, X., Huang, J., Zhang, Z., Li, L., & Deng, D. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1297028 · Cited by 16
Multivariate Platelet Analysis Differentiates Between Patients with Alzheimer’s Disease and Healthy Controls at First Clinical Diagnosis
Wiest, I., Wiemers, T., Kraus, M.-J., Neeb, H., Strasser, E. F., Hausner, L., Frölich, L., & Bugert, P. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190574 · Cited by 16
Altered mismatch response precedes gray matter atrophy in subjective cognitive decline
Cheng, C., Chang, C., Chao, Y., Lu, H., Peng, S.-W., & Wang, P. (2021) · Psychophysiology · doi:10.1111/psyp.13820 · Cited by 18
Cerebrovascular damage in subjective cognitive decline: A systematic review and meta-analysis
Pitti, H., Diaz‐Galvan, P., Barroso, J., Badji, A., Olofsson, J., Westman, E., Ferreira, D., & Cedrés, N. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101757 · Cited by 16
Associations between volunteering and cognitive impairment: The moderating role of race/ethnicity
Wang, Y., Wong, R., Amano, T., & Shen, H. (2022) · Health & Social Care in the Community · doi:10.1111/hsc.13847 · Cited by 14
Changes in Brain-Health Related Modifiable Risk Factors in Older Adults After One Year of COVID-19-Restrictions
Waterink, L., Bakker, E. D., Visser, L. N. C., Mangialasche, F., Kivipelto, M., Deckers, K., Köhler, S., Sikkes, S. A. M., Prins, N. D., Scheltens, P., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.877460 · Cited by 16
Smaller grey matter volume in the central olfactory system in mild cognitive impairment
Jobin, B., Boller, B., & Frasnelli, J. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2023.112325 · Cited by 15
Ten-words recall test: an effective tool to differentiate mild cognitive impairment from subjective cognitive decline
Ren, H., Feng, Q., Chen, L., Li, L., Wang, J., Wu, J., Dong, L., Liu, T., & Wang, Z. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1429934 · Cited by 17
The MemClin project: a prospective multi memory clinics study targeting early stages of cognitive impairment
Ekman, U., Ferreira, D., Muehlboeck, J., Wallert, J., Rennie, A., Eriksdotter, M., Wahlund, L., & Westman, E. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-1478-3 · Cited by 15
Attentional network changes in subjective cognitive decline
Esmaeili, M., Nejati, V., Shati, M., Vatan, R. F., Chehrehnegar, N., & Foroughan, M. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-02005-8 · Cited by 15
Cognitive Reserve, Brain Reserve, APOE ɛ4, and Cognition in Individuals with Subjective Cognitive Decline in the SILCODE Study
Yang, K. Y., Chen, G., Sheng, C., Xie, Y., Li, Y., Hu, X., Sun, Y., & Han, Y. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200082 · Cited by 16
Cognitive and Alzheimer's disease biomarker effects of oral nicotinamide riboside (NR) supplementation in older adults with subjective cognitive decline and mild cognitive impairment
Wu, C., Kupferschmid, A. C., Liu, C., McManus, A. J., Kivisäkk, P., Galler, J. A., Schwab, N. A., DesRuisseaux, L. A., Williams, V. J., Gerber, J. A., et al. (2025) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70023 · Cited by 18
BDNF-Met polymorphism and amyloid-beta in relation to cognitive decline in cognitively normal elderly: the SCIENCe project
van den Bosch, K. A., Verberk, I. M. W., Ebenau, J. L., van der Lee, S. J., Jansen, I. E., Prins, N. D., Scheltens, P., Teunissen, C. E., & van der Flier, W. M. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.08.018 · Cited by 13
U-shaped association between sleep duration and subjective cognitive complaints in Chinese elderly: a cross-sectional study
Lin, L., Xu, W., Wang, S., Hu, Q., Zhang, P., Huang, J., Ke, Y.-F., Ding, K., Hou, C., & Jia, F. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03738-0 · Cited by 14
Gut Microbiota and Subjective Memory Complaints in Older Women
Wu, F., Davey, S., Clendenen, T. V., Koenig, K. L., Afanasyeva, Y., Zhou, B., Bedi, S., Li, H., Zeleniuch‐Jacquotte, A., & Chen, Y. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220011 · Cited by 13
Subjective short-term memory difficulties at ages 50–75 predict dementia risk in a community-based cohort followed over 17 years
Möllers, T., Stocker, H. R., Perna, L., Rujescu, D., Holleczek, B., Schöttker, B., & Brenner, H. (2022) · Age and Ageing · doi:10.1093/ageing/afac113 · Cited by 14
Subjective Cognitive Decline: Is a Resilient Personality Protective Against Progression to Objective Cognitive Impairment? Findings from Two Community-Based Cohort Studies
Aschwanden, D., Sutin, A. R., Ledermann, T., Luchetti, M., Stéphan, Y., Sesker, A. A., Zhu, X., & Terracciano, A. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220319 · Cited by 14
Assessment of functional capacity of the elderly
Wróblewska, Z. M., Chmielewski, J. P., Florek-Łuszczki, M., Nowak-Starz, G., Wojciechowska, M., & Wróblewska, I. M. (2023) · Annals of Agricultural and Environmental Medicine · doi:10.26444/aaem/161775 · Cited by 13
Spatial navigation is associated with subcortical alterations and progression risk in subjective cognitive decline
Chen, Q., Chen, F., Long, C., Zhu, Y., Jiang, Y., Zhu, Z., Lu, J., Zhang, X., Nedelská, Z., Hort, J., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01233-6 · Cited by 13
Prevalence and Progression of Subjective Cognitive Decline Among Rural Chinese Older Adults: A Population-Based Study
Xu, S., Ren, Y., Liu, R., Li, Y., Hou, T., Wang, Y., Wang, X., Wang, L., Monastero, R., Du, Y., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221280 · Cited by 16
Assessing subjective cognitive decline in older adults attending primary health care centers: what question should be asked?
Molina-Donoso, M., Parrao, T., Meillon, C., Thumala, D., Lillo, P., Villagra, R., Ibáñez, A. M., Cerda, M., Pedro Zitko, M., Amieva, H., et al. (2023) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2023.2221399 · Cited by 13
Programme Dementia Prevention (pdp): A Nationwide Program for Personalized Prevention in Luxembourg
Schröder, V. E., Skrozic, A., Erz, D., Kaysen, A., Fritz, J. V., Loureiro, J. M., McIntyre, D., Pauly, L., Kemp, J., Schmitz, S. K., et al. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230794 · Cited by 15
Inflammation-Related microRNAs-146a and -155 Are Upregulated in Mild Cognitive Impairment Subjects Among Older Age Population in Montenegro
Dragović, I. R., Popović, N., Ždralević, M., Radulović, L., Vuković, T., Marzano, F., Tullo, A., & Radunović, M. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220676 · Cited by 17
Predicting progression to Alzheimer's disease dementia using cognitive measures
MacDougall, A. M., Whitfield, T. J., Needham, K., Schott, J. M., Frost, C. D., & Walker, Z. (2024) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.6067 · Cited by 15
Cerebrovascular Disease and Depressive Symptomatology in Individuals With Subjective Cognitive Decline: A Community-Based Study
Diaz‐Galvan, P., Cedrés, N., Figueroa, N., Barroso, J., Westman, E., & Ferreira, D. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.656990 · Cited by 13
The Influence of Amyloid Burden on Cognitive Decline over 2 years in Older Adults with Subjective Cognitive Decline: A Prospective Cohort Study
Hong, Y. J., Park, J. W., Lee, S. B., Kim, S., Kim, Y., Ryu, D.-W., Park, K. W., & Yang, D. W. (2021) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000519766 · Cited by 13
Estimating prevalence of subjective cognitive decline in and across international cohort studies of aging: A COSMIC study
(2020) · doi:10.1101/2020.05.20.20106526 · Cited by 13
A Focused Review of Gamma Neuromodulation as a Therapeutic Target in Alzheimer’s Spectrum Disorders
Shu, I.-W., Lin, Y., Granholm, E. L., & Singh, F. (2024) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20240001 · Cited by 12
Psychometric Cognitive Decline Precedes the Advent of Subjective Cognitive Decline in the Evolution of Alzheimer’s Disease
Reisberg, ‌., Shao, Y., Moosavi, M., Kenowsky, S., Vedvyas, A., Marsh, K., Bao, J., Buj, M., Torossian, C. L., Kluger, A., et al. (2020) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000507286 · Cited by 12
Quantitative informant‐ and self‐reports of subjective cognitive decline predict amyloid beta PET outcomes in cognitively unimpaired individuals independently of age and APOE ε4
Sánchez‐Benavides, G., Salvadó, G., Arenaza‐Urquijo, E. M., Grau‐Rivera, O., Suárez‐Calvet, M., Milà‐Alomà, M., Gónzalez‐de‐Echávarri, J. M., Minguillón, C., Crous‐Bou, M., Niñerola‐Baizán, A., et al. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12127 · Cited by 12
Reduced Inter-Voxel White Matter Integrity in Subjective Cognitive Decline: Diffusion Tensor Imaging With Tract-Based Spatial Statistics Analysis
Chao, Y., Liu, P.-T. B., Wang, P., & Cheng, C. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.810998 · Cited by 12
Steeper memory decline after COVID-19 lockdown measures
Bakker, E. D., van der Pas, S., Zwan, M. D., Gillissen, F., Bouwman, F. H., Scheltens, P., van der Flier, W. M., & van Maurik, I. S. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01226-5 · Cited by 14
Association of subjective cognitive complaints with poor sleep quality: A cross‐sectional study among Chinese elderly
Hu, Q., Song, Y., Wang, S.-B., Lin, L., Ke, Y.-F., & Zhang, P. (2023) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5956 · Cited by 12
Laboratory-Based Gait Variability and Habitual Gait Entropy Do Not Differentiate Community-Dwelling Older Adults from Those with Subjective Memory Complaints
Rantalainen, T., Teo, W., Ridgers, N. D., Nuzum, N. D., Valente, L. M., & Macpherson, H. (2020) · Gait & Posture · doi:10.1016/j.gaitpost.2020.05.024 · Cited by 12
Subjective memory concerns, poor vascular health, and male sex predict exacerbated memory decline trajectories: An integrative data-driven class and prediction analysis.
Drouin, S. M., McFall, G. P., & Dixon, R. A. (2021) · Neuropsychology · doi:10.1037/neu0000784 · Cited by 13
Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer’s disease spectrum: a COMPASS-ND study
Bohn, L., Drouin, S. M., McFall, G. P., Rolfson, D. B., Andrew, M. K., & Dixon, R. A. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-04546-1 · Cited by 11
Differential neuropsychiatric associations of plasma biomarkers in older adults with major depression and subjective cognitive decline
Wei, Y., Kung, Y., Lin, C., Yeh, C., Chen, P., Huang, W., Shyu, Y., Lin, C., & Chen, C. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03049-w · Cited by 11
Feasibility and preliminary efficacy of the LEAD trial: a cluster randomized controlled lifestyle intervention to improve hippocampal volume in older adults at-risk for dementia
Koblinsky, N. D., Anderson, N. D., Ajwani, F., Parrott, M. D., DAWSON, D. R., Marzolini, S., OH, P. I., MacIntosh, B. J., Middleton, L. E., Ferland, G., et al. (2022) · Pilot and Feasibility Studies · doi:10.1186/s40814-022-00977-6 · Cited by 13
Subtle Pathophysiological Changes in Working Memory–Related Potentials and Intrinsic Theta Power in Community-Dwelling Older Adults With Subjective Cognitive Decline
Zheng, Z., Zhao, X., Cui, X., Liu, X., Zhu, X., Jiang, Y., & Li, J. (2023) · Innovation in Aging · doi:10.1093/geroni/igad004 · Cited by 13
Multimodal magnetic resonance imaging on brain structure and function changes in subjective cognitive decline: a mini-review
Yue, J., Han, S., Li, A., Wei, Z., Cao, D., Gao, S., Li, X., Yang, G., & Zhang, Q. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1259190 · Cited by 10
Dementia subtypes, cognitive decline and survival among older adults attending a memory clinic in Cape Town, South Africa: a retrospective study
Ssonko, M., Hardy, A., Naganathan, V., Kalula, S., & Combrinck, M. I. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-04536-3 · Cited by 9
Longitudinal assessment of plasma biomarkers for early detection of cognitive changes in subjective cognitive decline
Hsieh, C.-H., Ko, C.-A., Liang, C., Yeh, P.-K., Tsai, C., Tsai, C., Lin, G., Lin, Y., Tsai, M., & Yang, F. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1389595 · Cited by 11
Age-specific risk factors of depression among the oldest-old - evidence from the multicenter AgeCoDe-AgeQualiDe study
Luppa, M., Pabst, A., Löbner, M., Mallon, T., Brettschneider, C., Hajek, A., Heser, K., Kleineidam, L., Weyerer, S. B., Werle, J., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1367225 · Cited by 10
Identifying older adults at risk for dementia based on smartphone data obtained during a wayfinding task in the real world
Marquardt, J., Mohan, P., Spiliopoulou, M., Glanz, W., Butryn, M., Kuehn, E., Schreiber, S., Maaß, A., & Diersch, N. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000613 · Cited by 10
Event-related potential markers of subjective cognitive decline and mild cognitive impairment during a sustained visuo-attentive task
Vergani, A. A., Mazzeo, S., Moschini, V., Burali, R., Lassi, M., Amato, L. G., Carpaneto, J., Salvestrini, G., Fabbiani, C., Giacomucci, G., et al. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103760 · Cited by 11
Heterogeneous brain abnormalities in subjective cognitive decline converge on a common network and their transcriptional signature
Lan, H., Liu, W., Zuo, C., Chen, L., Wang, S., Luo, C., Kuang, W., Kemp, G. J., Lui, S., Suo, X., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70073 · Cited by 12
Adaptation and Validation of the Memory Alteration Test (M@T) in Greek Middle-Aged, Older, and Older-Old Population with Subjective Cognitive Decline and Mild Cognitive Impairment
Lazarou, I., Μoraitou, D., Papatheodorou, M., Vavouras, I., Lokantidou, C., Agogiatou, C., Gialaoutzis, M., Nikolopoulos, S., Stavropoulos, T. G., Kompatsiaris, I. Y., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210558 · Cited by 11
Precuneus Activity during Retrieval Is Positively Associated with Amyloid Burden in Cognitively Normal Older APOE 4 Carriers
Fischer, L., Molloy, E. N., Binette, A. P., Vockert, N., Marquardt, J., Pilar, A. P., Kreissl, M. C., Remz, J., Tremblay‐Mercier, J., Poirier, J., et al. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1408-24.2024 · Cited by 13
Generating diagnostic profiles of cognitive decline and dementia using magnetoencephalography
Scheijbeler, E. P., Schoonhoven, D. N., Engels, M. M. A., Scheltens, P., Stam, C. J., Gouw, A. A., & Hillebrand, A. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.11.002 · Cited by 10
Relevance of Subjective Cognitive Decline in Older Adults with a First-Degree Family History of Alzheimer’s Disease
Wolfsgruber, S., on behalf of the DELCODE study group, Kleineidam, L., Weyrauch, A.-S., Barkhoff, M., Röske, S., Peters, O., Preis, L., Gref, D., Spruth, E. J., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215416 · Cited by 12
The characteristics of arterial spin labeling cerebral blood flow in patients with subjective cognitive decline: The Chinese imaging, biomarkers, and lifestyle study
Li, W., Jiang, J., Zou, X., Zhang, Y., Sun, M., Jia, Z., Li, W., & Xu, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.961164 · Cited by 11
Longitudinal assessment of pragmatic and cognitive decay in healthy aging, and interplay with subjective cognitive decline and cognitive reserve
Gabbatore, I., Conterio, R., Vegna, G., & Bosco, F. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-14062-4 · Cited by 9
Plasma β-Amyloid Levels Associated With Structural Integrity Based on Diffusion Tensor Imaging in Subjective Cognitive Decline: The SILCODE Study
Wang, X., Zhao, M., Li, L., & Han, Y. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.592024 · Cited by 9
Subjective cognitive decline-related worries modulate the relationship between global amyloid load and gray matter volume in preclinical Alzheimer’s disease
Wang, X., Wang, M., Wang, X., Zhou, F., Jiang, J., Liu, H., & Han, Y. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00558-w · Cited by 9
Association between Blood Glucose Control and Subjective Cognitive Decline in Korean Patients with Diabetes Aged over 50 Years
Koh, D.-H., Rho, Y.-J., Lee, S. Y., Kim, K., & Ju, Y. J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19127267 · Cited by 11
Impacts of subjective cognitive decline and mild cognitive impairment on the effectiveness of an exercise intervention among community-dwelling (Pre)frail older adults
Zhou, W., Qiao, X., Liu, T., Wen, L., Gao, H., Wang, C., Jin, Y., Si, H., Bian, Y., Liu, Q., et al. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.08.029 · Cited by 8
Multidimensional assessment of time perception along the continuum of Alzheimer’s Disease and evidence of alterations in subjective cognitive decline
Teghil, A., Boccia, M., Vita, A. D., Zazzaro, G., Monti, M. S., Trebbastoni, A., Talarico, G., Campanelli, A., Bruno, G., Guariglia, C., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-49222-x · Cited by 8
Reliability of the picture description task of the Western Aphasia Battery – revised in Laurentian French persons without brain injury
Marcotte, K., Roy, A., Brisebois, A., Jutras, C., Léonard, C., Rochon, E. A., & Brambati, S. M. (2024) · The Clinical Neuropsychologist · doi:10.1080/13854046.2024.2340777 · Cited by 8
Difference in Amyloid Load Between Single Memory Domain and Multidomain Subjective Cognitive Decline: A Study from the SILCODE
Wang, X., Bi, Q., Lu, J., Chan, P., Hu, X., Su, L., Jessen, F., Lin, H., Han, C., Shu, N., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-215373 · Cited by 8
Occupational Therapist-Led Mindfulness Training Program for Older Adults Living with Early Cognitive Decline in Primary Care: A Pilot Randomized Controlled Trial
Tran, T., Finlayson, M. L., Nalder, E. J., Trothen, T. J., & Donnelly, C. A. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230006 · Cited by 13
Degeneration of the cholinergic system in individuals with subjective cognitive decline: A systematic review
Rodriguez‐Hernandez, M. A., Alemany, I., Olofsson, J., Diaz‐Galvan, P., Němý, M., Westman, E., Barroso, J., Ferreira, D., & Cedrés, N. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105534 · Cited by 10
White matter alterations and their associations with biomarkers and behavior in subjective cognitive decline individuals: a fixel-based analysis
Wei, Y., Kung, Y., Lin, C., Chen, C., Lin, C., Tseng, R.-Y., Chen, Y.-L., Huang, W., Chen, P., Chong, S. T., et al. (2024) · Behavioral and Brain Functions · doi:10.1186/s12993-024-00238-x · Cited by 10
Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform
Abdessalem, H. B., Byrns, A., & Frasson, C. (2021) · International Journal of Intelligence Science · doi:10.4236/ijis.2021.112006 · Cited by 8
Pathological correlates of impaired self-awareness of memory function in Alzheimer’s disease
Gagliardi, G. P., Kuppe, M. K., Lois, C., Hanseeuw, B. J., Vannini, P., & Initiative, A. D. N. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00856-x · Cited by 8
Associations Between Cognitive Complaints, Memory Performance, Mood, and Amyloid-β Accumulation in Healthy Amyloid Negative Late-Midlife Individuals
Narbutas, J., Egroo, M. V., Chylinski, D., Bahri, M. A., Koshmanova, E., Talwar, P., Besson, G., Muto, V., Schmidt, C., Luxen, A., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210332 · Cited by 8
Association Between Various Types or Statuses of Smoking and Subjective Cognitive Decline Based on a Community Health Survey of Korean Adults
Kim, J. H., Chang, I. B., Kim, Y. H., Min, C., Yoo, D. M., & Choi, H. G. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.810830 · Cited by 8
Everyday Functioning in a Community-Based Volunteer Population: Differences Between Participant- and Study Partner-Report
Verrijp, M., Dubbelman, M. A., Visser, L. N. C., Jutten, R. J., Nijhuis, E. W., Zwan, M. D., van Hout, H. P. J., Scheltens, P., van der Flier, W. M., & Sikkes, S. A. M. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.761932 · Cited by 8

Authors: Slot, R. E. R., Sikkes, S. A. M., Berkhof, J., Brodaty, H., Buckley, R., Cavedo, E., Dardiotis, E., Guillo‐Benarous, F., Hampel, H., Kochan, N. A., Lista, S., Luck, T., Maruff, P., Molinuevo, J. L., Kornhuber, J., Reisberg, B., Riedel‐Heller, S. G., Risacher, S. L., Roehr, S., Sachdev, P. S., Scarmeas, N., Scheltens, P., Shulman, M. B., Saykin, A. J., Verfaillie, S. C. J., Visser, P. J., Vos, S. J. B., Wagner, M., Wolfsgruber, S., Jessen, F., Initiative, T. A. D. N., the DESCRIPA working group, the INSIGHT‐preAD study group, SCD‐I working group, & van der Flier, W. M.
Affiliations: Amsterdam Neuroscience (NL)
Amsterdam University Medical Centers (NL)
UNSW Sydney (AU)
Harvard University (US)
Centre National de la Recherche Scientifique (FR)
University of Thessaly (GR)
NYU Langone Health (US)
Nordhausen University of Applied Sciences (DE)
Florey Institute of Neuroscience and Mental Health (AU)
Neurology Department Hospital Clínic i Universitari‐IDIBAPS and BarcelonaBeta Brain Research Center Pasqual Maragall Foundation Barcelona Spain
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Institute of Social Medicine Occupational Health and Public Health (ISAP) Faculty of Medicine University of Leipzig Leipzig Germany
Indiana University Indianapolis (US)
National and Kapodistrian University of Athens (GR)
Maastricht University (NL)
University of Bonn (DE)
University of Cologne (DE)
Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands
Corresponding author: the Alzheimer's Disease Neuroimaging Initiative
ORCID: Slot, Rosalinde E.R.
Sikkes, Sietske A.M.
Berkhof, Johannes
Brodaty, Henry
Buckley, Rachel
Cavedo, Enrica
Dardiotis, Efthimios
Hampel, Harald
Kochan, Nicole A.
Lista, Simone
Luck, Tobias
Maruff, Paul
Kornhuber, Johannes
Reisberg, Barry
Risacher, Shannon L.
Sachdev, Perminder S.
Scarmeas, Nikolaos
Scheltens, Philip
Shulman, Melanie B.
Saykin, Andrew J.
Verfaillie, Sander C.J.
Visser, Pieter Jelle
Vos, Stephanie J.B.
Wagner, Michael
Wolfsgruber, Steffen
Jessen, Frank
Venue: Alzheimer's & Dementia
Publisher: Wiley
Published: 2018-12-13
Volume: 15
Issue: 3
Pages: 465-476
ISSN: 1552-5260 (ISSN-L)
1552-5279
DOI: 10.1016/j.jalz.2018.10.003
PMC: PMC6465066
OpenAlex: W2904079367
Cited by: 428
References: 61
Citations by year: 2026: 39 · 2025: 55 · 2024: 68 · 2023: 65 · 2022: 65 · 2021: 54 · 2020: 62 · 2019: 17 · 2018: 3
FWCI: 26.57
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc-nd
creativecommons.org/licenses/by-nc-nd/4.0/ (am)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
Locations: Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
PubMed (publishedVersion)
Pure Amsterdam UMC (publishedVersion, cc-by)
VU Research Portal (publishedVersion, other-oa)
Europe PMC (PubMed Central) (acceptedVersion, cc-by-nc-nd)
PubMed Central (acceptedVersion, cc-by-nc-nd)
Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
HAL (submittedVersion, cc-by-nc-nd)
Research Publications (Maastricht University) (submittedVersion, cc-by-nc-nd)
University of Thessaly Institutional Repository (University of Thessaly) (submittedVersion)
CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion, other-oa)
Massey Research Online (Massey University) (submittedVersion)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
IUScholarWorks (Indiana University) (submittedVersion)
Purdue University Indianapolis (Indiana University) (submittedVersion)
Research Publications (Maastricht University) (submittedVersion, other-oa)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders: ZonMw
Alzheimer's Association (IIRG-09-133014)
Centre Hospitalier Universitaire de Bordeaux (CIC EC7)
AXA Research Fund
U.S. Department of Health and Human Services (AG08051, AG03051)
National Institute on Aging (P30 AG010133, R01 AG019771, K01 AG049050)
U.S. Department of Defense (W81XWH-12-2-0012)
National Institute of Biomedical Imaging and Bioengineering
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: subjective cognitive decline, Alzheimer's disease
MeSH terms: Aged, Aged, 80 and over, Dementia, Female, Humans, Male, Middle Aged, Risk Factors, Self Concept, Cohort Studies, Incidence, Disease Progression, Diagnostic Self Evaluation, Cognitive Dysfunction

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

Subjective cognitive decline and rates of incident Alzheimer's disease and non-Alzheimer's disease dementia

Abstract

Overview

Integrity signals

Figures

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks