An estimated 8.8 million Indians older than 60 years have dementia. 2 key findings →
Design: longitudinal study Participants: 2,528 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
An estimated 8.8 million Indians older than 60 years have dementia. 2 key findings →
Design: longitudinal study Participants: 2,528 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Dementia emerged as the most potent risk factor for institutionalization in this 12-year community-based epidemiological study. 3 key findings →
Design: longitudinal study Participants: 1,147 Evidence: moderate
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Physicians noted impairment in a minority of impaired patients. 3 key findings →
Design: cross-sectional Participants: 1,107 Evidence: low
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Depressive symptoms appeared to be early manifestations, rather than predictors, of Alzheimer disease in this community sample. 3 key findings →
Participants: 1,366 Evidence: moderate
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In this population, the prevalence of AD and other dementias was low, increased with age, and was not associated with gender or literacy. 5 key findings →
Participants: 5,126 Evidence: moderate
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Alzheimer disease was responsible for 4.9% of the deaths in this elderly cohort. 1 key finding →
Participants: 1,670 Evidence: moderate
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Incidence rates of all dementias and of AD increased with age; men and those with lesser education had higher rates of possible/incipient dementia (CDR = 0.5) in this community. 5 key findings →
Participants: 1,298 Evidence: moderate
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Depressive symptoms are cross-sectionally associated with cognitive impairment but not subsequent cognitive decline. 5 key findings →
Participants: 1,265 Evidence: moderate
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These are the first AD incidence rates to be reported from the Indian subcontinent, and they appear to be among the lowest ever reported. 3 key findings →
Evidence: moderate
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Demented individuals were less likely than their nondemented counterparts to be taking lipid-lowering drugs. 4 key findings →
Design: longitudinal study Evidence: moderate
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There is a shortage of adequate screening instruments for dementia in poorly educated populations and non-English-speaking groups. 1 key finding →
Participants: 5,126 Evidence: low
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Our data support the use of population-based cutpoints over standard cutoff scores, in that the global scale at the conventional cutoff was less sensitive than the battery at the same percentile, and because adequate norms do not exist for tests such as those in the battery. 1 key finding →
Participants: 1,367 Evidence: low
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Design identification of relevant items, pre-testing of items and refinement of administrative procedures and scoring in four successive groups of 30 subjects each, pilot testing in a group of 100 subjects comparable to those for whom the measure is intended, administration to a representative sample of 387 people aged 55 and older, and assessment of the reliability of the final measure. 2 key findings →
Participants: 30 Evidence: low
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Interpretation of cognitive test performance among individuals from a given population requires an understanding of cognitive norms in that population. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
As part of a cross-national study of dementia epidemiology, two types of verbal fluency tasks were administered to three groups of subjects, varying in level of literacy and education, recruited from the rural district of Ballabgarh in northern India. 2 key findings →
Evidence: low
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Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read
This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.
Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.
Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.
We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.
The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.
See the whole rubric drawn out → — four charts covering all 27,380 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.
1,032 records (3.8% of the library) are not peer-reviewed — 962 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.
See the full, machine-readable breakdown of this library's coverage →