27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
This cohort study found that COVID-19 mortality decreased over time during 2020 and that patient demographic characteristics and comorbidities were associated with higher clinical severity. 5 key findings →
Design: cohort study Participants: 174 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Identification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. 1 key finding →
Design: randomized controlled trial Participants: 18,548 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
We developed machine learning prediction models for post-operative delirium that performed better than chance and are comparable with traditional stepwise logistic regression. 1 key finding →
Design: cohort study Participants: 134 Evidence: moderate
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The data from this study provide strong preliminary evidence that, in patients newly admitted to post-acute care facilities from acute care hospitals, delirium symptoms are prevalent, persistent, and associated with poor functional recovery. 4 key findings →
Design: cohort study Participants: 551 Evidence: moderate
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Between 2011 and 2014, seniors experiencing health decline used various digital health technologies at low absolute rates (range: 1%-20%). 2 key findings →
Design: longitudinal study Participants: 4,037 Evidence: moderate
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74,396 patients (median age 84, IQR 78-89; 68% female) were analyzed. 5 key findings →
Design: cohort study Participants: 74,396 Evidence: moderate
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About 245 patients were included and postoperative delirium affected 12.2% (30/245) of the patients. 5 key findings →
Design: case-control study Participants: 245 Evidence: moderate
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The ongoing development of robotics on the one hand and, on the other hand, the foreseen relative growth in number of elderly individuals suffering from dementia, raises the question of which contribution robotics could have to rationalize and maintain, or even improve the quality of care. 1 key finding →
Evidence: low
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An accurate COVID-19 mortality prediction model among hospitalized patients based on the clinical features and comorbidities may play a beneficial role in the clinical setting to better management of patients with COVID-19. 3 key findings →
Participants: 250 Evidence: moderate
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This study included 33,355 patients in the training, 14,294 in the internal validation, and 6711 in the external validation sets. 5 key findings →
Design: cohort study Participants: 33,355 Evidence: moderate
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Delayed discharge is associated with higher hospital costs and complication rates especially nosocomial infections. 3 key findings →
Design: cohort study Evidence: moderate
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Attrition was most likely to occur in participants who were older, male, inactive, socially isolated, and cognitively impaired. 5 key findings →
Design: longitudinal study Evidence: moderate
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The clinical prediction model can play a beneficial role in decision-making for preventative measures for patients at risk of developing a delirium. 3 key findings →
Participants: 207 Evidence: low
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A total of 6378 papers published between 2014 and 2023 were analyzed. 5 key findings →
Participants: 6,378 Evidence: low
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Most inpatient users of VR described the experience as pleasant and capable of reducing pain and anxiety. 4 key findings →
Participants: 510 Evidence: moderate
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The fall detection system detected 12 out of 15 real-life falls, having a sensitivity of 80.0%, with a false alarm rate of 0.049 alarms per usage hour with the implemented real-time system. 3 key findings →
Participants: 15,500 Evidence: low
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The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer's disease, frailty, Parkinson's, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. 5 key findings →
Evidence: low
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By 2040 more people in Scotland are projected to die with palliative care needs, and the complexity of need will increase markedly. 3 key findings →
Participants: 34 Evidence: low
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The observed misalignment of opinion between end users and developers on desirable design features of companion robots demonstrates the need for user-centred design during development. 1 key finding →
Evidence: low
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The Health Utilities Index (HUI) is a recently developed system for measuring the overall health status and health-related quality of life (HRQL) of individuals, clinical groups, and general populations. 5 key findings →
Evidence: low
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Of the 99 participants, 43 were classified into the low social interaction frequency group, and 37 were classified into the high loneliness level group. 5 key findings →
Participants: 99 Evidence: low
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The Arabic GDS is a useful measure to assess depression among community-dwelling older adults and primary care patients who do not have dementia. 1 key finding →
Participants: 38 Evidence: low
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Time requirements for the medication administration process are substantial in LTC and are compounded when nurses are unfamiliar with residents. 1 key finding →
Evidence: low
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This study has shown that physical restraints are used frequently in geriatric care in Sweden and that cognitive and physical impairments relate very closely to the use of physical restraints. 2 key findings →
Participants: 1,325 Evidence: low
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Probands (n = 3607) living in long-term care institutions in the county of Västerbotten were assessed to estimate whether the prevalence of dementia in different types of institutions had changed since a similar survey was made 7 years before. 5 key findings →
Participants: 3,607 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 →