Duration of preclinical, prodromal, and dementia stages of Alzheimer's disease in relation to age, sex, and APOE genotype
Open accessAbstract
Introduction: We estimated the age‐specific duration of the preclinical, prodromal, and dementia stages of Alzheimer's disease (AD) and the influence of sex, setting, apolipoprotein E (APOE) genotype, and cerebrospinal fluid tau on disease duration. Methods: We performed multistate modeling in a combined sample of 6 cohorts (n = 3268) with death as the end stage and estimated the preclinical, prodromal, and dementia stage duration. Results: The overall AD duration varied between 24 years (age 60) and 15 years (age 80). For individuals presenting with preclinical AD, age 70, the estimated preclinical AD duration was 10 years, prodromal AD 4 years, and dementia 6 years. Male sex, clinical setting, APOE ε4 allele carriership, and abnormal cerebrospinal fluid tau were associated with a shorter duration, and these effects depended on disease stage. Discussion: Estimates of AD disease duration become more accurate if age, sex, setting, APOE, and cerebrospinal fluid tau are taken into account. This will be relevant for clinical practice and trial design.
Verified 2026-10-06 · 1 reference not checked yet
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 38 cited sources checked · 0 supported · 0 flagged
- Findingown data
The study did not reveal significant sex differences in the duration of preclinical and prodromal Alzheimer's disease stages.
“The study did not reveal significant sex differences in the duration of preclinical and prodromal AD stages.”
Quote in the paperSubstantial claim - Findingown data
For individuals with preclinical Alzheimer's disease, predicted overall disease duration decreased with older age, from 24 years at age 60 to 15 years at age 80.
“Figure 2A shows for those with preclinical AD a lower predicted overall disease duration at older age, which ranged from 24 years (95% CI, 22-25) at age 60 to 15 years (95% CI, 11-17) at age 80.”
Quote in the paperSubstantial claim - Findingown data
Baseline abnormal cerebrospinal fluid total tau was not associated with the duration of the Alzheimer's disease dementia stages.
“There was no association of baseline abnormal t-tau with the duration of the dementia stages.”
Quote in the paperNot a substantial claim - Findingown data
Total predicted Alzheimer's disease duration ranged from 12 to 25 years depending on APOE ε4 genotype, age, and setting.
“Figure 2C shows how the total predicted disease duration ranged from 12 to 25 years depending on APOE ε4 genotype, age and setting.”
Quote in the paperSubstantial claim - Findingown data
In females, the moderate Alzheimer's disease dementia stage duration was longer than in males, for example 2.1 years at age 70 in a clinical setting.
“In females the moderate AD dementia stage duration was longer than in males (e.g. 2.1 years (95% CI, 1.1-3.2, p<0.0001 at age 70 in a clinical setting; Figure 2B, suppl. table B.3).”
Quote in the paperNot a substantial claim
- Findingcitation
Total disease duration estimates were in some cases longer than residual life expectancies from population data.
“The estimation of total disease duration estimates were in some cases longer than the residual life expectancies of population data [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] www.lifetable.de (2010-2012 USA).
Not checked in the free run.
- Findingown data
At age 70, preclinical Alzheimer's disease duration was shorter in a clinical setting (4 years) than in a research setting (11 years).
“The duration of preclinical AD at age 70 was shorter in a clinical setting (4 years [95% CI, 3-5]) than in a research setting (11 years [95% CI, 9-13]).”
Quote in the paperSubstantial claim - Findingown data
In the model including age, sex, and setting, age significantly influenced all transition rates to subsequent disease stages except mortality in preclinical Alzheimer's disease and progression from prodromal to mild Alzheimer's disease dementia.
“In the model that included age, sex and setting, all transition rates to subsequent disease were significantly influenced by age, except mortality in the preclinical AD stage and progression from prodromal AD to mild AD dementia”
Quote in the paperSubstantial claim - Findingown data
Among 3,034 participants, 981 (32%) progressed to at least one consecutive Alzheimer's disease stage.
“Progression to at least one consecutive stage was apparent in 981 (32% of 3,034) participants.”
Quote in the paperNot a substantial claim - Findingown data
Individuals with preclinical Alzheimer's disease and abnormal cerebrospinal fluid total tau showed a trend toward increased progression to prodromal Alzheimer's disease (HR 1.49).
“Individuals with preclinical AD and abnormal CSF t-tau showed a trend for an increased progression rate from preclinical to prodromal AD (HR=1.49 [95% CI, 0.95-2.35]).”
Quote in the paperNot a substantial claim - Study design and conductown data
Sequentially removing each cohort did not affect the estimates.
“Consecutively removing each of the cohorts did not affect the estimates (Suppl. table B.6).”
Quote in the paperNot a substantial claim - Interpretationcitation
The estimated combined preclinical and prodromal stage duration for a 70-year-old (17 years) was very similar to the 17-year pre-dementia Alzheimer's disease estimate from differential equation modeling of amyloid accumulation in individuals aged 72 years on average.
“Our estimated duration of the combined preclinical and prodromal stage for a 70-year-old (17 years) was very similar to the estimated duration of 17 years pre-dementia AD based on differential equation modeling of the amyloid accumulation rate in individuals aged 72 years on average [21].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Villemagne VL,, Amyloid beta deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study. Lancet Neurol, 2013 12. 23477989 source
Not checked in the free run.
- Study design and conductreasoning
The estimated differences between settings may be underestimated because part of the individuals from the AIBL and ADNI research cohorts were recruited in memory clinics.
“The estimated differences between settings may be underestimated in the current study, as part of the individuals from the AIBL and ADNI research cohorts were recruited in memory clinics.”
Quote in the paperNot a substantial claim - Premisecitation
Multi-state modeling can estimate Alzheimer's disease duration from stage progression and mortality rates without requiring very long follow-up.
“We estimated disease duration by applying a multi-state modeling approach, which has been previously used in AD research [22-25], and can offer an estimate of disease duration based on stage progression and mortality rates in the absence of very long follow-up duration.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [22] Jack CR Jr.,, Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study. Lancet Neurol, 2016 15(1): p. 56– 64. 26597325 PMC4784263 source
Not checked in the free run.
- cites [23] Robitaille A,, Transitions across cognitive states and death among older adults in relation to education: A multistate survival model using data from six longitudinal studies. Alzheimers Dement, 2018 14(4): p. 462– 472. 29396108 PMC6377940 source
Not checked in the free run.
- cites [24] Coley N,, A Longitudinal Study of Transitions Between Informal and Formal Care in Alzheimer Disease Using Multistate Models in the European ICTUS Cohort. J Am Med Dir Assoc, 2015 16(12): p. 1104 e1– 7. 26593306 source
Not checked in the free run.
- cites [25] Brookmeyer R,, Forecasting the prevalence of preclinical and clinical Alzheimer's disease in the United States. Alzheimers Dement, 2018 14(2): p. 121– 129. 29233480 PMC5803316 source
Not checked in the free run.
- Study design and conductreasoning
Combining cohort data leads to heterogeneity due to different application of diagnostic criteria, cognitive testing, and amyloid status.
“Combining cohort data leads to heterogeneity, i.e. due to different application of diagnostic criteria, cognitive testing and amyloid status.”
Quote in the paperNot a substantial claim - Interpretationown data
Estimates of Alzheimer's disease duration become more accurate if age, sex, setting, APOE, and cerebrospinal fluid tau are taken into account.
“Estimates of AD disease duration become more accurate if age, sex, setting, APOE and CSF tau are taken into account.”
Quote in the paperSubstantial claim - Study design and conductcitation
The potential violation of the independence assumption was addressed by taking age as a time-dependent covariate.
“This was addressed by taking age as the time-dependent covariate, which has been applied before to overcome this issue [22, 47].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [22] Jack CR Jr.,, Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study. Lancet Neurol, 2016 15(1): p. 56– 64. 26597325 PMC4784263 source
Not checked in the free run.
- cites [47] Brookmeyer R and Abdalla N, Estimation of lifetime risks of Alzheimer's disease dementia using biomarkers for preclinical disease. Alzheimers Dement, 2018. PMC6097953 29802030 source
Not checked in the free run.
- The authors state this as an assumption: Progression risk is independent of the time already spent in a stage.
- May combine two claims. 28
- Classified as probably not a substantial claim. 16
May combine two claims.
Findingown dataAbnormal cerebrospinal fluid total tau was associated with shortening of the estimated preclinical Alzheimer's disease stage by about 3 years and the prodromal stage by about 2.5 years.
“The estimated preclinical AD stage was shortened by around 3 years and the prodromal AD stage by around 2.5 years (Table 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn prodromal Alzheimer's disease, abnormal tau was associated with a decreased reversion rate to preclinical Alzheimer's disease (HR 0.41) and an increased progression rate to mild Alzheimer's disease dementia (HR 1.91).
“In prodromal AD, abnormal tau associated with a decreased reversion rate to preclinical AD stage (HR=0.41 [95% CI, 0.23-0.71]) and increased progression rate to the mild AD dementia stage (HR=1.91 [95% CI, 1.48-2.48]).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataClinical setting was associated with a higher rate of progression from preclinical to prodromal Alzheimer's disease (HR 4.40) and a higher reversion rate (HR 1.98) than research setting.
“Compared to data collected in a research setting, data from clinical settings was associated with a higher progression rate (HR=4.40 [95% CI, 2.80-6.94]) and reversion rate (HR=1.98 [95% CI, 1.15-3.39]) between preclinical and prodromal AD.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataClinical setting was associated with higher progression rates from prodromal to mild Alzheimer's disease dementia (HR 1.48) and from mild to moderate Alzheimer's disease dementia (HR 1.41).
“Additionally, in the clinical setting the progression rates from the prodromal AD to the mild AD dementia stage (HR=1.48 [95% CI, 1.34-1.92]) and from the mild AD to the moderate AD dementia stage (HR=1.41 [95% CI,1.16-1.72]) were higher.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFemales had a higher progression rate from mild to moderate Alzheimer's disease dementia (HR 1.24) and a lower mortality risk in moderate Alzheimer's disease dementia (HR 0.60) than males.
“Females had a higher progression rate from mild AD to moderate AD dementia, compared to males (HR=1.24 [95% CI, 1.04-1.47]), while their mortality risk in moderate AD dementia was lower (HR=0.60 [95% CI, 0.46-0.80]).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor a person with preclinical Alzheimer's disease at age 70, the predicted total disease duration was 20 years, comprising 10 years preclinical, 4 years prodromal, 3 years mild dementia, and 3 years moderate dementia.
“The predicted total disease duration, based on the model with age, for an individual with preclinical AD at age 70 was 20 years (95% CI, 17-21), consisting of a preclinical stage of 10 years (95% CI, 8-11), followed by a prodromal stage of 4 years (95% CI, 3-5), mild AD dementia for 3 years (95% CI, 2-3), and moderate AD dementia for 3 years (95% CI, 2-3, Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the clinical setting, prodromal Alzheimer's disease duration was shorter, dementia stage duration was equal between settings, and more time was spent in the moderate dementia stage.
“In the clinical setting, for individuals with prodromal AD, the stage duration of prodromal AD was also shorter, and while the dementia stage duration for these individuals was equal between settings, more time was spent in the moderate AD stage (Suppl. table B.7a and b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDepending on age, sex, APOE genotype, baseline cerebrospinal fluid total tau, and setting, total Alzheimer's disease duration varied between 12 and 25 years; preclinical stage between 2 and 15 years, prodromal stage between 3 and 7 years, mild dementia between 2 and 6 years, and moderate dementia between 1 and 7 years.
“Depending on age, sex, APOE genotype, baseline CSF t-tau and setting, the total disease duration varied between 12 and 25 years, the preclinical stage between 2 and 15, the prodromal stage between 3 to 7, mild AD dementia stage between 2 and 6 and moderate AD dementia stage between 1 and 7 years.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCompared with a non-carrier, an APOE ε4 carrier aged 70 in a clinical setting had 1.6 years shorter preclinical Alzheimer's disease, 1.1 years shorter prodromal Alzheimer's disease, and 1.0 year longer mild dementia stage.
“When compared to a non-carrier, an APOE ε4 carrier aged 70 in the clinical setting had a 1.6 years (95% CI, 0.4-3.3; p=0.0295) shorter estimated preclinical AD stage duration, and 1.1 years (95% CI, 0.3-2.1; p=0.0110) shorter prodromal AD stage duration, but 1.0 year (95% CI, 0.3-1.8; p=0.0050) longer mild dementia stage duration (suppl. table B.4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEstimated total duration starting from preclinical Alzheimer's disease ranged from 19 years at age 60 to 11 years at age 80 in the clinical setting, and from 26 years at age 60 to 15 years at age 80 in the research setting.
“The estimated total duration with starting stage preclinical AD ranged in the clinical setting 19 years (95% CI, 17-20) at age 60 to 11 years (95% CI, 10-12) at age 80 and in the research setting from 26 years (95% CI, 23-28) at age 60 to 15 years (95% CI, 12-17) at age 80.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAPOE ε4 carriers had increased progression rates from preclinical to prodromal Alzheimer's disease (HR 1.63) and from prodromal to mild Alzheimer's disease dementia (HR 1.50), and a trend toward slower decline from mild to moderate dementia (HR 0.77).
“APOE ε4 carriers had, compared to non-carriers, an increased rate of progression from the preclinical AD to prodromal AD stage (HR=1.63 [95% CI, 1.11-2.41]) and from the prodromal AD to mild AD dementia stage (HR=1.50 [95% CI, 1.18-1.90]), and a trend for slower decline from the mild to the moderate AD dementia stage (HR 0.77 [95% CI, 0.60-1.00]).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUnlike previous studies, no effect of tau on mortality and duration of the Alzheimer's disease dementia stage was found, which may be explained by dichotomization of cerebrospinal fluid total tau in this analysis.
“Unlike previous studies, no effect of tau on mortality and duration of the AD dementia stage were found, which may be explained by dichotomization of CSF t-tau in our analysis [16, 17].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [16] Rhodius-Meester HFM,, Disease-related determinants are associated with mortality in dementia due to Alzheimer's disease. Alzheimers Res Ther, 2018 10(1): p. 23. 29458426 PMC5819199
Not checked in the free run.
- cites [17] Degerman Gunnarsson M,, High tau levels in cerebrospinal fluid predict nursing home placement and rapid progression in Alzheimer's disease. Alzheimers Res Ther, 2016 8(1): p. 22. 27263933 PMC4893835
Not checked in the free run.
May combine two claims.
FindingcitationResidual life expectancy at age 80 was reported as 8-10 years in the USA and Australia (2010-2012), while in this study it ranged from 4 years for moderate Alzheimer's disease to 15 years for preclinical Alzheimer's disease.
“For example, the residual life expectancy at age 80 was reported to be 8-10 years in the USA and Australia (data from 2010-2012), while in our study this ranged from 4 years for those with moderate AD to 15 years for individuals with preclinical AD.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] www.lifetable.de (2010-2012 USA).
Not checked in the free run.
May combine two claims.
PremisecitationAmyloid accumulation in the brain is thought to be the earliest sign of Alzheimer's disease and may begin up to 20 years before a clinical dementia diagnosis.
“Accumulation of amyloid in the brain is believed to be the first sign of the disease and can precede a clinical diagnosis of dementia by up to 20 years [1, 4, 5].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [1] Winblad B,, Defeating Alzheimer's disease and other dementias: a priority for European science and society. Lancet Neurol, 2016 15(5): p. 455– 532. 26987701 source
Not checked in the free run.
- cites [4] Jansen WJ,, Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis. JAMA, 2015 313(19): p. 1924– 38. 25988462 PMC4486209 source
Not checked in the free run.
- cites [5] Jack CR Jr.,, Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol, 2013 12(2): p. 207– 16. 23332364 PMC3622225 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningAge had the strongest effect on the duration of the preclinical and dementia stages, which could be explained by higher progression and mortality rates.
“Age had the strongest effect on the duration of the preclinical and dementia stages, which could be explained by higher progression and mortality rates.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe dementia stage duration was longer in women, driven by lower mortality in this group.
“The dementia stage duration was longer in women, which was driven by lower mortality in this group.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataVarying the mortality assumptions for unknown mortality dates did not change the results.
“Varying the mortality assumptions for unknown mortality dates of those who died, did not change the results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe effects of setting on disease progression are consistent with other Alzheimer's disease studies.
“The effects of setting on disease progression are consistent with other AD studies [40, 41].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [40] Qian J,, APOE-related risk of mild cognitive impairment and dementia for prevention trials: An analysis of four cohorts. PLoS Med, 2017 14(3): p. e1002254. 28323826 PMC5360223
Not checked in the free run.
- cites [41] Snitz BE,, Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting. Alzheimers Dement, 2018 14(6): p. 734– 742. 29352855 PMC5994356
Not checked in the free run.
May combine two claims.
InterpretationreasoningWhile the prodromal stage was shorter in APOE ε4 carriers, the dementia stage was longer, implying that total symptomatic disease duration is similar but divided differently across stages.
“While the prodromal stage was shorter in APOE ε4 carriers, the dementia stage was longer which would imply that the total symptomatic disease duration is similar, but differently divided over the stages.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPatients with prodromal Alzheimer's disease and elevated cerebrospinal fluid total tau tend to convert to Alzheimer's disease dementia sooner.
“The patients with prodromal AD and increased CSF t-tau levels tended to convert sooner to AD dementia [19, 20].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [19] van Rossum IA,, Injury markers predict time to dementia in subjects with MCI and amyloid pathology. Neurology, 2012 79(17): p. 1809– 16. 23019259 PMC3475623 source
Not checked in the free run.
- cites [20] Buchhave P,, Cerebrospinal fluid levels of beta-amyloid 1-42, but not of tau, are fully changed already 5 to 10 years before the onset of Alzheimer dementia. Arch Gen Psychiatry, 2012 69(1): p. 98– 106. 22213792 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEarlier studies reported that the Alzheimer's disease dementia stage lasts between 3 and 10 years.
“Previous studies on the length of the AD dementia stage reported a duration of 3 to 10 years [14, 15].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] Brodaty H, Seeher K, and Gibson L, Dementia time to death: a systematic literature review on survival time and years of life lost in people with dementia. Int Psychogeriatr, 2012 24(7): p. 1034– 45. 22325331 source
Not checked in the free run.
- cites [15] Wattmo C, Londos E, and Minthon L, Risk factors that affect life expectancy in Alzheimer's disease: a 15-year follow-up. Dement Geriatr Cogn Disord, 2014 38(5-6): p. 286– 99. 24992891
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationYounger age, female sex, and lower cerebrospinal fluid total tau are associated with a longer Alzheimer's disease dementia stage, while the effect of APOE genotype is uncertain.
“Younger age, female sex and lower CSF total tau (t-tau) were found to be associated with a longer duration of the AD dementia stage, while the effect of APOE genotype was equivocal [14-17].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [14] Brodaty H, Seeher K, and Gibson L, Dementia time to death: a systematic literature review on survival time and years of life lost in people with dementia. Int Psychogeriatr, 2012 24(7): p. 1034– 45. 22325331 source
Not checked in the free run.
- cites [15] Wattmo C, Londos E, and Minthon L, Risk factors that affect life expectancy in Alzheimer's disease: a 15-year follow-up. Dement Geriatr Cogn Disord, 2014 38(5-6): p. 286– 99. 24992891
Not checked in the free run.
- cites [16] Rhodius-Meester HFM,, Disease-related determinants are associated with mortality in dementia due to Alzheimer's disease. Alzheimers Res Ther, 2018 10(1): p. 23. 29458426 PMC5819199
Not checked in the free run.
- cites [17] Degerman Gunnarsson M,, High tau levels in cerebrospinal fluid predict nursing home placement and rapid progression in Alzheimer's disease. Alzheimers Res Ther, 2016 8(1): p. 22. 27263933 PMC4893835
Not checked in the free run.
May combine two claims.
InterpretationcitationExcluding ε4 carriers during a trial may affect the rate of progression and possibly the power of the study.
“For example, exclusion of ε4 carriers during a trial, what happened in the high-dose group of the BAN2401 trial, may affect rate of progression and possibly the power of the study [45].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] https://www.alzforum.org/news/conference-coverage/ban2401-removes-brain-amyloid-possibly-slows-cognitive-decline 20 2 2019].
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationIn a pooled memory clinic cohort, the median prodromal Alzheimer's disease duration was three years, with no age-specific estimates and no adjustment for mortality.
“The median duration of prodromal AD was three years in a pooled memory clinic cohort study, but no age-specific estimates were provided and mortality was not taken into account [18].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Vos SJ,, Prevalence and prognosis of Alzheimer's disease at the mild cognitive impairment stage. Brain, 2015 138(Pt 5): p. 1327– 38. 25693589 PMC5013930 source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe shorter age-specific duration of the preclinical stage in APOE ε4 carriers is consistent with earlier onset of Alzheimer's disease dementia in epidemiological studies and faster cognitive decline in APOE ε4 carriers with preclinical Alzheimer's disease in research studies.
“The shorter age-specific duration of the preclinical stage in APOE ε4 carriers is consistent with the observed earlier onset of dementia due to AD in epidemiological studies and the faster cognitive decline of APOE ε4 carriers with preclinical AD in research studies [11, 42-44].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [11] Lim YY,, Association of beta-Amyloid and Apolipoprotein E epsilon4 With Memory Decline in Preclinical Alzheimer Disease. JAMA Neurol, 2018 75(4): p. 488– 494. 29356823 PMC5933393
Not checked in the free run.
- cites [42] Roberts RO,, Prevalence and Outcomes of Amyloid Positivity Among Persons Without Dementia in a Longitudinal, Population-Based Setting. JAMA Neurol, 2018. PMC6142936 29710225 source
Not checked in the free run.
- cites [43] van der Lee SJ,, The effect of APOE and other common genetic variants on the onset of Alzheimer's disease and dementia: a community-based cohort study. Lancet Neurol, 2018 17(5): p. 434– 444. 29555425
Not checked in the free run.
- cites [44] Mormino EC,, Amyloid and APOE epsilon4 interact to influence short-term decline in preclinical Alzheimer disease. Neurology, 2014 82(20): p. 1760– 7. 24748674 PMC4035706
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe combined preclinical and prodromal Alzheimer's disease stage has been estimated to last 17 years based on extrapolating positron emission tomography amyloid load over time.
“The duration of the preclinical AD stage has been estimated in combination with the prodromal AD stage, which was 17 years, based on extrapolations of change in positron emission tomography (PET) amyloid load over time [21].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Villemagne VL,, Amyloid beta deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study. Lancet Neurol, 2013 12. 23477989 source
Not checked in the free run.
May combine two claims.
Interpretationown dataIncreased cerebrospinal fluid total tau was associated with a shorter pre-dementia disease duration, confirming that increased tau is associated with faster disease progression.
“The presence of increased CSF t-tau was associated with a shorter pre-dementia disease duration, which confirms that increased tau is associated with faster disease progression.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataWhen all variables were combined in one model, most estimates remained unchanged.
“When all variables were combined in one model, most estimates remained unchanged.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn the subset of individuals with all covariates (n=1518), the effects were similar.
“In the additional analysis of the same models in the subset of individuals with all covariates (n=1518, see Suppl. Table B.8), the effects were similar.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationStudies estimating Alzheimer's disease duration should be age-specific and should account for APOE genotype, sex, and cerebrospinal fluid tau levels.
“Attempts to quantify the duration of AD should be age-specific, because age imposes the greatest risk for both dementia and mortality, and take into account APOE genotype, sex, and cerebrospinal fluid (CSF) tau levels [4, 6, 10-12].”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [4] Jansen WJ,, Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis. JAMA, 2015 313(19): p. 1924– 38. 25988462 PMC4486209 source
Not checked in the free run.
- cites [6] Jack CR Jr.,, NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement, 2018 14(4): p. 535– 562. 29653606 PMC5958625 source
Not checked in the free run.
- cites [10] Neu SC,, Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease: A Meta-analysis. JAMA Neurol, 2017 74(10): p. 1178– 1189. 28846757 PMC5759346 source
Not checked in the free run.
- cites [11] Lim YY,, Association of beta-Amyloid and Apolipoprotein E epsilon4 With Memory Decline in Preclinical Alzheimer Disease. JAMA Neurol, 2018 75(4): p. 488– 494. 29356823 PMC5933393
Not checked in the free run.
- cites [12] Vos SJ,, Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study. Lancet Neurol, 2013 12(10): p. 957– 65. 24012374 PMC3904678 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationProgression from mild cognitive impairment to dementia takes longer in research settings than in clinical settings.
“Setting is also important, as progression from MCI to dementia was longer in research settings than in clinical settings [13].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Farias ST,, Progression of mild cognitive impairment to dementia in clinic- vs community-based cohorts. Arch Neurol, 2009 66(9): p. 1151– 7. 19752306 PMC2863139
Not checked in the free run.
May combine two claims.
Interpretationown dataMale sex, clinical setting, APOE ε4 genotype, and abnormal cerebrospinal fluid tau were associated with shorter Alzheimer's disease duration, and these effects depended on disease stage.
“Male sex, clinical setting, APOE ε4 genotype and abnormal CSF tau were associated with a shorter duration and these effects depended on disease stage.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA strength of the study is the large sample of participants with amyloid accumulation.
“A strength of the study is the large sample of participants with amyloid accumulation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenThe sample is not representative of the general population, but may be representative of patients physicians need to inform and volunteers that participate in clinical trials.
“Finally, our sample is not representative of the general population, but may be representative of the patients who physicians need to inform, and volunteers that participate in clinical trials.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe study used old criteria for the preclinical Alzheimer's disease definition, while recent research criteria also require tau positivity.
“Additionally, we used the old criteria for the preclinical AD definition, while the recent research criteria also require tau positivity [8].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Sperling RA,, 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. Alzheimers Dement, 2011 7. PMC3220946 21514248 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe sample consisted of over 3000 individuals, but not all effects were estimable.
“As such, the sample consisted of over 3000 individuals, still not all the effects were estimable.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe multi-state model approach is a strength because it enabled incorporation of multiple clinical stages, including fluctuations between stages, and mortality risk in a data-driven manner.
“The multi-state model approach is another strength, because it enabled the incorporation of multiple clinical stages, including fluctuations between stage, and the mortality risk in a data driven manner.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataAmyloid status and APOE genotype were unknown for AD-type dementia patients of the ICTUS study, but sensitivity analysis without ICTUS yielded very similar results.
“Another limitation was that amyloid status and APOE genotype were unknown for AD-type dementia patients of the ICTUS study, but the sensitivity analysis without the ICTUS, yielded very similar results.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
It is unclear how long individuals with amyloid pathology spend in each Alzheimer's disease stage.
“but it is unclear how long individuals with amyloid pathology spend in each stage.”
The authors state this as an assumption.
Progression risk is independent of the time already spent in a stage.
“underlying assumption that progression risk is independent on the previous time spend in a stage”
The paper relies on this without support.
A better understanding of the stage-specific duration of Alzheimer's disease is needed to inform patients, caregivers, and clinicians.
“A better understanding of the stage-specific duration of AD is needed to inform patients, caregivers, and clinicians.”
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?
AD has a preclinical phase that precedes clinical symptoms by at least 10-20 years.
“Longitudinal studies of cognitive function and CSF and neuroimaging biomarker changes in ADAD and LOAD have identified a significant preclinical phase of disease preceding onset of clinical symptoms by at least 10-20 years”
From Alzheimer Disease: An Update on Pathobiology and Treatment Strategies (2019) · cites this paper as Vermunt et al., 2019
Alzheimer disease pathology accumulates 15-20 years before clinical symptoms appear.
“Though this represents an intermediate phase of clinical disease, this is actually an advanced stage of the biological disease when considering that pathology accumulates in the AD brain 15-20 years prior to onset of clinical symptoms (Vermunt et al., 2019).”
From Alzheimer Disease: An Update on Pathobiology and Treatment Strategies (2019) · cites this paper as Vermunt et al., 2019
Aberrant Aβ deposition begins over a decade before the onset of clinical symptoms and spreads diffusely throughout the cerebral cortex.
“Aberrant Aβ deposition begins over a decade before the onset of clinical symptoms and spreads diffusely throughout the cerebral cortex [16, 17].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [17]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Stated overall duration range excludes reported estimates
MinorThe discussion gives a total-duration range of 12-25 years, but the results report estimates of 11 and 26 years for people starting in preclinical AD.
“Depending on age, sex, APOE genotype, baseline CSF t-tau and setting, the total disease duration varied between 12 and 25 years”
“The estimated total duration with starting stage preclinical AD ranged in the clinical setting 19 years (95% CI, 17-20) at age 60 to 11 years (95% CI, 10-12) at age 80 and in the research setting from 26 years (95% CI, 23-28) at age 60 to 15 years (95% CI, 12-17) at age 80.”
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 · see citing works
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 · see citing works
Self-citationNIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
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 1× · see citing works
“Prodromal AD was in this study defined by amyloid accumulation and a diagnosis of mild cognitive impairment, amnestic and nonamnestic [9,32,33].”
BackgroundMild 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 · see citing works
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 · see citing works
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 · see citing works
Self-citationJack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Scheltens, P., Blennow, K., Breteler, M. M. B., de Strooper, B., Frisoni, G. B., Salloway, S., & Van der Flier, W. M. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01124-1 · Cited by 3,125 · see citing works
Self-citationAlbert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · see citing works
Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279 · see citing works
Self-citationDefeating Alzheimer's disease and other dementias: a priority for European science and society
Winblad, B., Amouyel, P., Andrieu, S., Ballard, C., Brayne, C., Brodaty, H., Cedazo-Minguez, A., Dubois, B., Edvardsson, D., Feldman, H., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00062-4 · Cited by 1,676 · see citing works
Self-citationPrevalence of Cerebral Amyloid Pathology in Persons Without Dementia: A Meta-analysis
Jansen, W. J., Ossenkoppele, R., Knol, D. L., Tijms, B. M., Scheltens, P., Verhey, F. R. J., Visser, P. J., Aalten, P., Aarsland, D., Alcolea, D., et al. (2015) · JAMA · doi:10.1001/jama.2015.4668 · Cited by 1,610 · see citing works
Self-citationMulti-State Models for Panel Data: The msm Package for R
Jackson, C. H. (2011) · Journal of Statistical Software · doi:10.18637/jss.v038.i08 · Cited by 1,351 · see citing works
Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging
Rowe, C. C., Ellis, K. A., Rimajova, M., Bourgeat, P., Pike, K. E., Jones, G., Fripp, J., Tochon-Danguy, H., Morandeau, L., O'Keefe, G., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.007 · Cited by 986 · see citing works
Staging Dementia Using Clinical Dementia Rating Scale Sum of Boxes Scores
O’Bryant, S. E. (2008) · Archives of Neurology · doi:10.1001/archneur.65.8.1091 · Cited by 885 · see citing works
Mapping Scores Onto Stages: Mini-Mental State Examination and Clinical Dementia Rating
Perneczky, R., Wagenpfeil, S., Komossa, K., Grimmer, T., Diehl, J., & Kurz, A. (2006) · The American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000192478.82189.a8 · Cited by 768 · see citing works
Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease: A Meta-analysis
Neu, S. C., Pa, J., Kukull, W., Beekly, D., Kuzma, A., Gangadharan, P., Wang, L.-S., Romero, K., Arneric, S. P., Redolfi, A., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.2188 · Cited by 674 · see citing works
Buchhave, P. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.155 · Cited by 664 · see citing works
Visser, P. J., Verhey, F., Knol, D. L., Scheltens, P., Wahlund, L.-O., Freund-Levi, Y., Tsolaki, M., Minthon, L., Wallin, Å. K., Hampel, H., et al. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70139-5 · Cited by 614 · see citing works
Self-citationThe Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans
Weiner, M. W., Aisen, P. S. S., Jack, C. R., Jagust, W. J., Trojanowski, J. Q., Shaw, L. M. J., Saykin, A. J., Morris, J. C., Cairns, N. J., Beckett, L. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.007 · Cited by 599 · see citing works
Progression of Mild Cognitive Impairment to Dementia in Clinic- vs Community-Based Cohorts
Farias, S. T., Mungas, D., Reed, B., Harvey, D. J., & DeCarli, C. S. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.106 · Cited by 582 · see citing works
Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study
Vos, S. J., Xiong, C., Visser, P. J., Jasielec, M. S., Hassenstab, J., Grant, E. A., Cairns, N. J., Morris, J. C., Holtzman, D. M., & Fagan, A. M. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70194-7 · Cited by 564 · see citing works
Self-citationForecasting the prevalence of preclinical and clinical Alzheimer's disease in the United States
Brookmeyer, R., Abdalla, N., Kawas, C. H., & Corrada, M. M. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.10.009 · Cited by 406 · see citing works
Optimizing Patient Care and Research: The Amsterdam Dementia Cohort
van der Flier, W. M., Pijnenburg, Y. A. L., Prins, N. D., Lemstra, A. W., Bouwman, F. H., Teunissen, C. E., van Berckel, B. N. M., Stam, C. J., Barkhof, F., Visser, P. J., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132306 · Cited by 390 · see citing works
Self-citationPrevalence and prognosis of Alzheimer’s disease at the mild cognitive impairment stage
Vos, S. J. B., Verhey, F., Frölich, L., Kornhuber, J., Wiltfang, J., Maier, W., Peters, O., Rüther, E., Nobili, F., Morbelli, S., et al. (2015) · Brain · doi:10.1093/brain/awv029 · Cited by 383 · see citing works
Self-citationvan der Lee, S. J., Wolters, F. J., Ikram, M. K., Albert Hofman, D., Ikram, M. A., Amin, N., & van Duijn, C. M. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30053-x · Cited by 297 · see citing works
Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease
Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Ward, A. M., Huijbers, W., Rentz, D. M., Johnson, K. A., Sperling, R. A., & For the Alzheimer's Disease Neuroimaging Initiative, T. A. I. B. A. L. F. S. O. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000431 · Cited by 290 · see citing works
Brodaty, H., Seeher, K., & Gibson, L. (2012) · International Psychogeriatrics · doi:10.1017/s1041610211002924 · Cited by 248 · see citing works
Principles of Cancer Screening: Lessons From History and Study Design Issues
Croswell, J. M., Ransohoff, D. F., & Kramer, B. S. (2010) · Seminars in Oncology · doi:10.1053/j.seminoncol.2010.05.006 · Cited by 230 · see citing works
Roberts, R. O., Aakre, J. A., Kremers, W. K., Vassilaki, M., Knopman, D. S., Mielke, M. M., Alhurani, R., Geda, Y. E., Machulda, M. M., Coloma, P., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0629 · Cited by 223 · see citing works
Cerebrospinal fluid -amyloid 1-42 concentration may predict cognitive decline in older women
Gustafson, D. R., Skoog, I., Rosengren, L., Zetterberg, H., & Blennow, K. (2006) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.100529 · Cited by 214 · see citing works
Self-citationAge, vascular health, and Alzheimer disease biomarkers in an elderly sample
Vemuri, P., Lesnick, T. G., Przybelski, S. A., Knopman, D. S., Lowe, V. J., Graff‐Radford, J., Roberts, R. O., Mielke, M. M., Machulda, M. M., Petersen, R. C., et al. (2017) · Annals of Neurology · doi:10.1002/ana.25071 · Cited by 183 · see citing works
Brookmeyer, R., & Abdalla, N. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.03.005 · Cited by 176 · see citing works
Qian, J., Wolters, F. J., Beiser, A., Haan, M., Ikram, M. A., Karlawish, J., Langbaum, J. B., Neuhaus, J. M., Reiman, E. M., Roberts, J. S., et al. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002254 · Cited by 169 · see citing works
Snitz, B. E., Wang, T., Cloonan, Y. K., Jacobsen, E. P., Chang, C. H., Hughes, T. F., Kamboh, M. I., & Ganguli, M. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.12.003 · Cited by 139 · see citing works
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 · see citing works
Self-citationJack, 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 · see citing works
Lim, Y., Kalinowski, P., Pietrzak, R., Laws, S., Burnham, S., Ames, D., Villemagne, V., Fowler, C., Rainey-Smith, S., Martins, R., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.4325 · Cited by 80 · see citing works
Self-citationRobitaille, A., van den Hout, A., Machado, R. J. M., Bennett, D. A., Čukić, I., Deary, I. J., Hofer, S. M., Hoogendijk, E. O., Huisman, M., Johansson, B., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.10.003 · Cited by 77 · see citing works
Self-citation2014 Report on the Milestones for the US National Plan to Address Alzheimer's Disease
Fargo, K. N., Aisen, P. S. S., Albert, M., Au, R., Corrada, M. M., DeKosky, S. T., Drachman, D. A., Fillit, H. M., Gitlin, L. N., Haas, M., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.08.103 · Cited by 76 · see citing works
Self-citationMulti-State Survival Models for Interval-Censored Data
van den Hout, A. (2016) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315374321 · Cited by 66 · see citing works
Risk Factors That Affect Life Expectancy in Alzheimer's Disease: A 15-Year Follow-Up
Wattmo, C., Londos, E., & Minthon, L. (2014) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000362926 · Cited by 60 · see citing works
UsingLexisObjects for Multi-State Models inR
Carstensen, B., & Plummer, M. (2011) · Journal of Statistical Software · doi:10.18637/jss.v038.i06 · Cited by 56 · see citing works
Gunnarsson, M. D., Ingelsson, M., Blennow, K., Basun, H., Lannfelt, L., & Kilander, L. (2016) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0191-0 · Cited by 55 · see citing works
Self-citationThe ICTUS Study: A Prospective Longitudinal Observational Study of 1,380 AD Patients in Europe
Reynish, E. L., Cortes, F., Andrieu, S., Cantet, C., Rikkert, M. O., Melis, R. J. F., Froelich, L., Frisoni, G. B., Jönsson, L., Visser, P. J., et al. (2007) · Neuroepidemiology · doi:10.1159/000108915 · Cited by 49 · see citing works
Self-citationDisease-related determinants are associated with mortality in dementia due to Alzheimer’s disease
Rhodius‐Meester, H. F. M., Liedes, H., Koene, T., Lemstra, A. W., Teunissen, C. E., Barkhof, F., Scheltens, P., van Gils, M., Lötjönen, J. M. P., & van der Flier, W. M. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0348-0 · Cited by 47 · see citing works
Self-citationColey, N., Gallini, A., Garès, V., Gardette, V., Andrieu, S., Vellas, B., Reynish, E., Ousset, P. J., Andrieu, S., Burns, A., et al. (2015) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2015.09.010 · Cited by 20 · cited 1× · see citing works
“previously applied in AD research [21-23].”
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- TFagan GStrobelhttps://www.alzforum.org/news/conference‐coverage/ban2401‐removes‐brain‐amyloid‐possibly‐slows‐cognitive‐declineAccessed February 20 2019.
Cited by
Sorted by citations
Scheltens, P., De Strooper, B., Kivipelto, M., Holstege, H., Chételat, G., Teunissen, C. E., Cummings, J., & van der Flier, W. M. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32205-4 · Cited by 5,465 · see citing works
Self-citationAlzheimer Disease: An Update on Pathobiology and Treatment Strategies
Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204 · see citing works
2023 Alzheimer's disease facts and figures
(2023) · Alzheimer's & Dementia · doi:10.1002/alz.13016 · Cited by 3,212 · see citing works
2024 Alzheimer's disease facts and figures
(2024) · Alzheimer's & Dementia · doi:10.1002/alz.13809 · Cited by 2,536 · see citing works
2020 Alzheimer's disease facts and figures
(2020) · Alzheimer's & Dementia · doi:10.1002/alz.12068 · Cited by 2,353 · see citing works
2022 Alzheimer's disease facts and figures
Anonymous (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12638 · Cited by 2,384 · see citing works
2021 Alzheimer's disease facts and figures
Anonymous (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12328 · Cited by 2,236 · see citing works
Blood-based biomarkers for Alzheimer's disease: towards clinical implementation
Teunissen, C. E., Verberk, I. M. W., Thijssen, E. H., Vermunt, L., Hansson, O., Zetterberg, H., van der Flier, W. M., Mielke, M. M., & del Campo, M. (2022) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00361-6 · Cited by 1,045 · see citing works
Self-citationGlobal estimates on the number of persons across the Alzheimer's disease continuum
Gustavsson, A., Norton, N., Fast, T., Frölich, L., Georges, J., Holzapfel, D., Kirabali, T., Krolak‐Salmon, P., Rossini, P. M., Ferretti, M. T., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12694 · Cited by 895 · see citing works
Diagnosis of Early Alzheimer's Disease: Clinical Practice in 2021
Porsteinsson, A. P., Isaacson, R. S., Knox, S., Sabbagh, M. N., & Rubino, I. (2021) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2021.23 · Cited by 744 · see citing works
Alzheimer’s disease drug development pipeline: 2021
Cummings, J., Lee, G., Zhong, K., Fonseca, J., & Taghva, K. (2021) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12179 · Cited by 539 · see citing works
2025 Alzheimer's disease facts and figures
(2025) · Alzheimer s & Dementia · doi:10.1002/alz.70235 · Cited by 569 · see citing works
Yin, F. (2023) · The FEBS Journal · doi:10.1111/febs.16344 · Cited by 441 · see citing works
Emerging diagnostics and therapeutics for Alzheimer disease
Self, W. K., & Holtzman, D. M. (2023) · Nature Medicine · doi:10.1038/s41591-023-02505-2 · Cited by 381 · see citing works
Involvement of Lipids in Alzheimer’s Disease Pathology and Potential Therapies
Chew, H., Solomon, V. A., & Fonteh, A. N. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00598 · Cited by 353 · see citing works
Alzheimer’s Disease: An Update and Insights Into Pathophysiology
Abubakar, M. B., Sanusi, K. O., Ugusman, A., Mohamed, W. M. Y., Kamal, H., Ibrahim, N. H., Khoo, C. S., & Kumar, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.742408 · Cited by 293 · see citing works
Immunotherapy for Alzheimer’s disease: targeting β-amyloid and beyond
Song, C., Shi, J., Zhang, P., Zhang, Y., Xu, J., Zhao, L., Zhang, R., Wang, H., & Chen, H. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00292-3 · Cited by 266 · see citing works
Pike, K. E., Cavuoto, M. G., Li, L. Y., Wright, B. J., & Kinsella, G. (2021) · Neuropsychology Review · doi:10.1007/s11065-021-09522-3 · Cited by 269 · see citing works
Alzheimer’s pathogenic mechanisms and underlying sex difference
Zhu, D., Montagne, A., & Zhao, Z. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03830-w · Cited by 259 · see citing works
Prevention of dementia in an ageing world: Evidence and biological rationale
Grande, G., Qiu, C., & Fratiglioni, L. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101045 · Cited by 229 · see citing works
Cell type‐specific roles of APOE4 in Alzheimer disease
Blumenfeld, J., Yip, O., Kim, M. J., & Huang, Y. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00776-9 · Cited by 202 · see citing works
The Neuroprotective Potentiality of Flavonoids on Alzheimer’s Disease
Calderaro, A., Patanè, G. T., Tellone, E., Barreca, D., Ficarra, S., Misiti, F., & Laganà, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232314835 · Cited by 199 · see citing works
The Toxicity and Polymorphism of β-Amyloid Oligomers
Huang, Y., & Liu, R. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124477 · Cited by 168 · see citing works
Recent update on the heterogeneity of the Alzheimer’s disease spectrum
Jellinger, K. A. (2021) · Journal of Neural Transmission · doi:10.1007/s00702-021-02449-2 · Cited by 150 · see citing works
New landscape of the diagnosis of Alzheimer’s disease
Frisoni, G. B., Hansson, O., Nichols, E., Garibotto, V., Schindler, S. E., van der Flier, W. M., Jessen, F., Villain, N., Arenaza-Urquijo, E. M., Crivelli, L., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01294-2 · Cited by 143 · see citing works
Self-citationTao, L., Liu, Q., Zhang, F., Fu, Y., Zhu, X. D., Weng, X., Han, H., Huang, Y., Suo, Y., Chen, L., et al. (2021) · Light Science & Applications · doi:10.1038/s41377-021-00617-3 · Cited by 133 · see citing works
The promise of music therapy for Alzheimer's disease: A review
Matziorinis, A. M., & Koelsch, S. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14864 · Cited by 139 · see citing works
Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Dendritic Spines in Alzheimer’s Disease: How the Actin Cytoskeleton Contributes to Synaptic Failure
Pelucchi, S., Stringhi, R., & Marcello, E. E. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21030908 · Cited by 116 · see citing works
Anticholinergic drugs and the risk of dementia: A systematic review and meta-analysis
Zheng, Y., Shi, L., Zhu, X.-M., Bao, Y., Bai, L., Li, J., Liu, J., Han, Y., Shi, J., & Lü, L. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.04.031 · Cited by 115 · see citing works
Chen, Y., Qian, X., Zhang, Y., Su, W., Huang, Y., Wang, X., Chen, X., Zhao, E., Han, L., & Ma, Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.840386 · Cited by 108 · see citing works
Alzheimer's disease outlook: controversies and future directions
Frisoni, G. B., Aho, E., Brayne, C., Ciccarelli, O., Dubois, B., Fox, N. C., Frederiksen, K. S., Gabay, C., Garibotto, V., Hofmarcher, T., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01389-3 · Cited by 112 · see citing works
Self-citationPerspectives and challenges in patient stratification in Alzheimer’s disease
Abdelnour, C., Agosta, F., Bozzali, M., Fougère, B., Iwata, A., Nilforooshan, R., Takada, L. T., Viñuela, F., & Traber, M. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01055-y · Cited by 108 · see citing works
Rao, R. V., Subramaniam, K. G., Gregory, J., Bredesen, A. L., Coward, C., Okada, S., Kelly, L., & Bredesen, D. E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021659 · Cited by 105 · see citing works
MIND diet and the risk of dementia: a population-based study
de Crom, T. O. E., Mooldijk, S. S., Ikram, M. K., Ikram, M. A., & Voortman, T. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-00957-1 · Cited by 100 · see citing works
Neuroinflammation as a Potential Therapeutic Target in Alzheimer’s Disease
Liu, P., Wang, Y., Sun, Y., & Peng, G. (2022) · Clinical Interventions in Aging · doi:10.2147/cia.s357558 · Cited by 92 · see citing works
Visser, P. J., Reus, L. M., Gobom, J., Jansen, I. E., Dicks, E., van der Lee, S. J., Tsolaki, M., Verhey, F. R. J., Popp, J., Martínez‐Lage, P., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00521-3 · Cited by 88 · see citing works
Self-citationWalker, L. C. (2020) · Free Neuropathology · doi:10.17879/freeneuropathology-2020-3025 · Cited by 95 · see citing works
Ali, A. M., & Kunugi, H. (2020) · Antioxidants · doi:10.3390/antiox9100937 · Cited by 82 · see citing works
APOE-ε4 Carrier Status and Gut Microbiota Dysbiosis in Patients With Alzheimer Disease
Hou, M., Xu, G., Ran, M., Luo, W., & Wang, H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.619051 · Cited by 79 · see citing works
Sadikki, H., Fayossé, A., Cognat, E., Sabia, S., Engelborghs, S., Wallon, D., Alexopoulos, P., Blennow, K., Zetterberg, H., Parnetti, L., et al. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1003289 · Cited by 79 · see citing works
Self-citationSharoar, M. G., Palko, S., Ge, Y., Saido, T. C., & Yan, R. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00464-1 · Cited by 78 · see citing works
Cholesterol Metabolism in Aging and Age-Related Disorders
Saher, G. (2023) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-091922-034237 · Cited by 81 · see citing works
Prodromal Dementia With Lewy Bodies: Clinical Characterization and Predictors of Progression
Beek, M. H. C. T. V., van Steenoven, I., van der Zande, J. J., Barkhof, F., Teunissen, C. E., van der Flier, W. M., & Lemstra, A. W. (2020) · Movement Disorders · doi:10.1002/mds.27997 · Cited by 77 · see citing works
Liposome based drug delivery as a potential treatment option for Alzheimer’s disease
Shukla, S., & Hernandez, C. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.327328 · Cited by 76 · see citing works
microRNAs as early biomarkers of Alzheimer’s disease: a synaptic perspective
Siedlecki-Wullich, D., Miñano-Molina, A. J., & Rodríguez-Álvarez, J. (2021) · Cells · doi:10.3390/cells10010113 · Cited by 76 · see citing works
Lim, D., Tapella, L., Dematteis, G., Genazzani, A., Corazzari, M., & Verkhratsky, A. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101914 · Cited by 70 · see citing works
Lodder, C., Scheyltjens, I., Stancu, I., Lucena, P. B., de Ravé, M. G., Vanherle, S., Vanmierlo, T., Cremers, N., Vanrusselt, H., Brône, B., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01204-8 · Cited by 68 · see citing works
Clinical Trial Endpoints and Their Clinical Meaningfulness in Early Stages of Alzheimer's Disease
Cohen, S., Cummings, J. L., Knox, S., Potashman, M. H., & Harrison, J. (2022) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2022.41 · Cited by 70 · see citing works
Melchiorri, D., Merlo, S., Micallef, B., Borg, J.-J., & Dráfi, F. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1196413 · Cited by 72 · see citing works
Dysregulated Wnt Signalling in the Alzheimer’s Brain
Aghaizu, N. D., Jin, H., & Whiting, P. J. (2020) · Brain Sciences · doi:10.3390/brainsci10120902 · Cited by 70 · see citing works
Ribarič, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063245 · Cited by 72 · see citing works
The Role of P2X7 Receptor in Alzheimer’s Disease
Francistiová, L., Bianchi, C., Lauro, C. D., Sebastián‐Serrano, Á., de Diego-García, L., Kobolák, J., Dinnyés, A., & Dı́az-Hernández, M. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00094 · Cited by 69 · see citing works
Low-Density Lipoprotein Cholesterol and Alzheimer's Disease: A Systematic Review and Meta-Analysis
Zhou, Z., Liang, Y., Zhang, X., Xu, J., Lin, J., Zhang, R., Kang, K., Liu, C., Zhao, C., & Zhao, M. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00005 · Cited by 69 · see citing works
Liposomes: An emerging carrier for targeting Alzheimer's and Parkinson's diseases
Pandian, S. R. K., Vijayakumar, K. K., Murugesan, S., & Kunjiappan, S. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09575 · Cited by 71 · see citing works
Apolipoprotein E in Alzheimer’s disease trajectories and the next-generation clinical care pathway
Narasimhan, S., Holtzman, D. M., Apostolova, L. G., Cruchaga, C., Masters, C. L., Hardy, J., Villemagne, V. L., Bell, J. S., Cho, M., & Hampel, H. J. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01669-5 · Cited by 70 · see citing works
Cacciamani, F., Houot, M., Gagliardi, G. P., Dubois, B., Sikkes, S. A. M., Sánchez‐Benavides, G., Denicolò, E., Molinuevo, J. L., Vannini, P., & Epelbaum, S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.697234 · Cited by 63 · see citing works
Self-citationSenescence as an Amyloid Cascade: The Amyloid Senescence Hypothesis
Walton, C. C., Begelman, D. V., Nguyen, W., & Andersen, J. K. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00129 · Cited by 61 · see citing works
Body Mass Index Trajectories Preceding Incident Mild Cognitive Impairment and Dementia
Guo, J., Wang, J., Dove, A., Chen, H., Yuan, C., Bennett, D. A., & Xu, W. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.3446 · Cited by 62 · see citing works
Mishra, P., Silva, A., Sharma, J., Nguyen, J., Pizzo, D. P., Hinz, D., Sahoo, D., & Cherqui, S. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112956 · Cited by 62 · see citing works
Alzheimer’s disease beyond amyloid: strategies for future therapeutic interventions
Shi, J., Sabbagh, M. N., & Vellas, B. J. (2020) · BMJ · doi:10.1136/bmj.m3684 · Cited by 62 · see citing works
Alzheimer’s disease and drug delivery across the blood–brain barrier: approaches and challenges
Iqbal, I., Saqib, F., Mubarak, Z., Latif, M. F., Wahid, M., Nasir, B., Shahzad, H., Sharifi-Rad, J., & Mubarak, M. S. (2024) · European Journal of Medical Research · doi:10.1186/s40001-024-01915-3 · Cited by 60 · see citing works
Xi, Y., Zhang, Y., Zhou, Y., Liu, Q. H., Chen, X., Liu, X., Grune, T., Shi, L. S., Hou, M., & Liu, Z. (2022) · Redox Biology · doi:10.1016/j.redox.2022.102595 · Cited by 60 · see citing works
Dubbelman, M. A., Jutten, R. J., Farias, S. T., Amariglio, R. E., Buckley, R. F., Visser, P. J., Rentz, D. M., Johnson, K. A., Properzi, M. J., Schultz, A. P., et al. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00706-2 · Cited by 58 · see citing works
Self-citationAlzheimer’s disease: a review on the current trends of the effective diagnosis and therapeutics
Manap, A. S. A., Almadodi, R., Sultana, S., Sebastian, M. G., Kavani, K. S., Lyenouq, V. E., & Shankar, A. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1429211 · Cited by 62 · see citing works
Mechanisms of neurodegeneration — Insights from familial Alzheimer’s disease
Chávez‐Gutiérrez, L., & Szaruga, M. (2020) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2020.03.005 · Cited by 54 · see citing works
Predicted Lifetime Health Outcomes for Aducanumab in Patients with Early Alzheimer’s Disease
Herring, W. L., Gould, I. G., Fillit, H. M., Lindgren, P., Forrestal, F., Thompson, R., & Pemberton-Ross, P. J. (2021) · Neurology and Therapy · doi:10.1007/s40120-021-00273-0 · Cited by 56 · see citing works
Jack, C. R., Therneau, T. M., Lundt, E. S., Wiste, H. J., Mielke, M. M., Knopman, D. S., Graff‐Radford, J., Lowe, V. J., Vemuri, P., Schwarz, C. G., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac017 · Cited by 55 · see citing works
The Burden of Alzheimer’s Disease Mortality in the United States, 1999-2018
Zhao, X., Li, C., Ding, G., Heng, Y., Li, A., Wang, W., Hou, H., Wen, J., & Zhang, Y. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210225 · Cited by 55 · see citing works
Cell Membrane Biomimetic Nanoparticles with Potential in Treatment of Alzheimer’s Disease
Zhong, X., Na, Y., Yin, S., Yan, C., Gu, J., Zhang, N., & Geng, F. (2023) · Molecules · doi:10.3390/molecules28052336 · Cited by 53 · see citing works
Diagnostic Accuracy of Blood-Based Biomarker Panels: A Systematic Review
Hardy-Sosa, A., León‐Arcia, K., Llibre‐Guerra, J. J., Berlanga‐Acosta, J., Baez, S. D. L. C., Guillén, G. E., & Valdes-Sosa, P. A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.683689 · Cited by 53 · see citing works
NAKAI, T., Yamada, K., & Mizoguchi, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115549 · Cited by 52 · see citing works
Yuan, J., Maserejian, N. N., Liu, Y., Devine, S., Gillis, C., Massaro, J. M., & Au, R. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200786 · Cited by 46 · see citing works
Inflammatory bowel disease: A potential pathogenic factor of Alzheimer's disease
Wang, D., Zhang, X., & Du, H. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110610 · Cited by 51 · see citing works
Zhao, Z., Liu, Y., Ruan, S., & Hu, Y. (2023) · International Journal of Nanomedicine · doi:10.2147/ijn.s444115 · Cited by 49 · see citing works
The Neuroprotective and Neurodegeneration Effects of Heme Oxygenase-1 in Alzheimer’s Disease
Si, Z., & Wang, X. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200720 · Cited by 46 · see citing works
Mechanistic and therapeutic role of NLRP3 inflammasome in the pathogenesis of Alzheimer's disease
Jha, D., Bakker, E. N. T. P., & Kumar, R. K. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15788 · Cited by 46 · see citing works
Gut microbiome and Alzheimer’s disease: What we know and what remains to be explored
Kapoor, B., Biswas, P., Gulati, M., Rani, P., & Gupta, R. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102570 · Cited by 46 · see citing works
Arslan, B., Brum, W. S., Pola, I., Therriault, J., Rahmouni, N., Stevenson, J., Servaes, S., Tan, K., Vitali, P., Montembeault, M., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01692-z · Cited by 50 · see citing works
Self-citationWang, L., Shui, X., Diao, Y., Chen, D., Zhou, Y., & Lee, T. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216259 · Cited by 46 · see citing works
Neuroprotective Roles of the Reverse Transsulfuration Pathway in Alzheimer’s Disease
Paul, B. D. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.659402 · Cited by 42 · see citing works
Monoclonal Antibody Therapy in Alzheimer’s Disease
Neațu, M., Covaliu, A., Ioniță, I., Jugurt, A., Davidescu, E. I., & Popescu, B. O. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics16010060 · Cited by 43 · see citing works
Incidence of Mild Cognitive Impairment, Conversion to Probable Dementia, and Mortality
Zhang, Y., Natale, G., & Clouston, S. (2021) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/15333175211012235 · Cited by 43 · see citing works
Wang, K., & Liu, H. (2021) · Regional Anesthesia & Pain Medicine · doi:10.1136/rapm-2021-102733 · Cited by 45 · see citing works
Ketones: potential to achieve brain energy rescue and sustain cognitive health during ageing
Myette‐Côté, É., Soto-Mota, A., & Cunnane, S. C. (2021) · British Journal Of Nutrition · doi:10.1017/s0007114521003883 · Cited by 43 · see citing works
Speech and language processing with deep learning for dementia diagnosis: A systematic review
Shi, M., Cheung, G., & Shahamiri, S. R. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115538 · Cited by 43 · see citing works
Linking activity dyshomeostasis and sleep disturbances in Alzheimer disease
Slutsky, I. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00797-y · Cited by 43 · see citing works
Eggenberger, P., Bürgisser, M., Rossi, R. M., & Annaheim, S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.585904 · Cited by 42 · see citing works
2026 Alzheimer's disease facts and figures
(2026) · Alzheimer s & Dementia · doi:10.1002/alz.71345 · Cited by 61 · see citing works
Mechanistic and therapeutic role of Drp1 in the pathogenesis of Alzheimer's disease
Bera, A., Lavanya, G., Reshmi, R., Dev, K., & Kumar, R. K. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15611 · Cited by 42 · see citing works
The vascular contribution of apolipoprotein E to Alzheimer’s disease
Chen, F., Zhao, J., Meng, F., He, F., Ni, J., & Fu, Y. (2024) · Brain · doi:10.1093/brain/awae156 · Cited by 38 · see citing works
The association between insomnia and cognitive decline: A scoping review
Zhang, X., Yin, J., Sun, X., Qu, Z., Zhang, J., & Zhang, H. (2024) · Sleep Medicine · doi:10.1016/j.sleep.2024.10.021 · Cited by 42 · see citing works
Avelar‐Pereira, B., Belloy, M. E., O'Hara, R. M., Hosseini, S. M. H., & Initiative, A. D. N. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01886-z · Cited by 40 · see citing works
Ketone bodies mediate alterations in brain energy metabolism and biomarkers of Alzheimer’s disease
Ramezani, M., Fernando, M. G., Eslick, S., Asih, P. R., Shadfar, S., Bandara, E. M. S., Hillebrandt, H., Meghwar, S., Shahriari, M., Chatterjee, P., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1297984 · Cited by 38 · see citing works
Tau protein profiling in tauopathies: a human brain study
Lantero‐Rodriguez, J., Camporesi, E., Montoliu‐Gaya, L., Gobom, J., Piotrowska, D., Olsson, M., Matečko‐Burmann, I., Becker, B., Brinkmalm, A., Burmann, B. M., et al. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00741-9 · Cited by 38 · see citing works
Self-citationBirkenbihl, C. J., Salimi, Y., Fröhlich, H., Initiative, F. T. J. A. D. N., & Initiative, T. A. D. N. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12387 · Cited by 38 · see citing works
Self-citationDulewicz, M., Kulczyńska‐Przybik, A., Mroczko, P., Kornhuber, J., Lewczuk, P., & Mroczko, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158598 · Cited by 38 · see citing works
Lipids and brain inflammation in APOE4-associated dementia
Duro, M. V. V., Ebright, B., & Yassine, H. N. (2021) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000801 · Cited by 38 · see citing works
Dissociable effects of APOE ε4 and β-amyloid pathology on visual working memory
Lu, K., Nicholas, J. M., Pertzov, Y., Grogan, J. P., Masud Husain, B., Pavisic, I. M., James, S., Parker, T. D., Lane, C., Keshavan, A., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00117-4 · Cited by 36 · see citing works
Oumata, N., Lu, K., Teng, Y., Cavé, C., Yu, P., Galons, H., & Roques, B. P. (2022) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2022.114578 · Cited by 36 · see citing works
- Authors
- Vermunt, L., Sikkes, S. A. M., van den Hout, A., Handels, R., Bos, I., van der Flier, W. M., Kern, S., Ousset, P., Maruff, P., Skoog, I., Verhey, F. R. J., Freund‐Levi, Y., Tsolaki, M., Wallin, Å. K., Olde Rikkert, M., Soininen, H., Spiru, L., Zetterberg, H., Blennow, K., Scheltens, P., Muniz‐Terrera, G., Visser, P. J., Initiative, F. T. A. D. N., AIBL Research Group, & groups, I. S.
- Affiliations
- Amsterdam Neuroscience (NL)
- Harvard University (US)
- Department of Statistical Science University College London London UK
- Maastricht University (NL)
- Department of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam The Netherlands
- University of Gothenburg (SE)
- Inserm (FR)
- The University of Melbourne (AU)
- Karolinska University Hospital (SE)
- Aristotle University of Thessaloniki (GR)
- Lund University (SE)
- Department of Geriatric Medicine Radboudumc Alzheimer Centre Radboud University Medical Center Nijmegen The Netherlands
- University of Eastern Finland (FI)
- Carol Davila University of Medicine and Pharmacy (RO)
- Sahlgrenska University Hospital (SE)
- Centre for Dementia Prevention University of Edinburgh Edinburgh UK
- Corresponding author
- Vermunt, Lisa
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2019-06
- Volume
- 15
- Issue
- 7
- Pages
- 888-898
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC6646097
- OpenAlex
- W2947634966
- Semantic Scholar
- a7cc914d460367dcba0fdb7e9290bc681d8a3b4a
- Cited by
- 570
- References
- 48
- Citations by year
- 2026: 70 · 2025: 100 · 2024: 115 · 2023: 81 · 2022: 94 · 2021: 68 · 2020: 37 · 2019: 2
- FWCI
- 39.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- PubMed Central (acceptedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (acceptedVersion, other-oa)
- Archive ouverte UNIGE (University of Geneva) (acceptedVersion, other-oa)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Università Politecnica delle Marche (Università Politecnica delle Marche) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- VU Research Portal (submittedVersion, other-oa)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Interreg (SFC, 2016-202)
- National Institutes of Health (P01AG043362, U01 AG024904)
- Seventh Framework Programme (FP7/2007-2013)
- U.S. Department of Defense (W81XWH-12-2-0012)
- Vetenskapsrådet (2015-02830, 2013-8717)
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2013-2496, 2013-2300, 2010-0870, 2012-1138)
- Sahlgrenska Universitetssjukhuset (ALF 716681)
- Alzheimer's Association (ZEN-01-3151, IIRG-00-2159)
- European Commission (QLK6-CT-2002-02645)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- Alzheimer's disease, disease duration
- MeSH terms
- Aged, Alleles, Alzheimer Disease, Amyloid, Female, Genotype, Humans, Longitudinal Studies, Male, Sex Factors, Time Factors, Biomarkers, tau Proteins, Disease Progression, Positron-Emission Tomography, Apolipoprotein E4, Cognitive Dysfunction, Prodromal Symptoms
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
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