ArticleObservational studies2015
The Statistical Modeling of Aging and Risk of Transition Project: Data Collection and Harmonization Across 11 Longitudinal Cohort Studies of Aging, Cognition, and Dementia.
Article in Observational studies, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- Harmonizing Ethno-Regionally Diverse Datasets to Advance the Global Epidemiology of Dementia.Clinics in geriatric medicine · 2023Review
- Using Cross-Cultural Studies to Improve Evidence on Dementia Prevention: Lessons from the Special Issue Sponsored by the International Research Network on Dementia Prevention (IRNDP).Journal of Alzheimer's disease : JAD · 2019Article
- Estimation of Multi-state Models with Missing Covariate Values Based on Observed Data Likelihood.Communications in statistics: theory and methods · 2019Article
- Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies.Journal of Alzheimer's disease : JAD · 2018Article
- Risk of incident clinical diagnosis of Alzheimer's disease-type dementia attributable to pathology-confirmed vascular disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2017Article
- Outcomes after diagnosis of mild cognitive impairment in a large autopsy series.Annals of neurology · 2017Article
- Multi-state models and missing covariate data: Expectation-Maximization algorithm for likelihood estimation.Biostatistics & epidemiology · 2017Article
- Diabetes is associated with cerebrovascular but not Alzheimer's disease neuropathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2016Article
- The Effect of Vascular Neuropathology on Late-life Cognition: Results from the SMART Project.The journal of prevention of Alzheimer's disease · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors at 8 institutions in 2 countries.
Funding
Abstract
Longitudinal cognitive trajectories and other factors associated with mixed neuropathologies (such as Alzheimer's disease with co-occurring cerebrovascular disease) remain incompletely understood, despite being the rule and not the exception in older populations. The Statistical Modeling of Aging and Risk of Transition study (SMART) is a consortium of 11 different high-quality longitudinal studies of aging and cognition (N=11,541 participants) established for the purpose of characterizing risk and protective factors associated with subtypes of age-associated mixed neuropathologies (N=3,001 autopsies). While brain donation was not required for participation in all SMART cohorts, most achieved substantial autopsy rates (i.e., > 50%). Moreover, the studies comprising SMART have large numbers of participants who were followed from intact cognition and transitioned to cognitive impairment and dementia, as well as participants who remained cognitively intact until death. These data provide an exciting opportunity to apply sophisticated statistical methods, like Markov processes, that require large, well-characterized samples. Thus, SMART will serve as an important resource for the field of mixed dementia epidemiology and neuropathology.
Identifiers
25984574PMC4431579W2416705584What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.