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Find studies

Showing 1–25 of 571 studies in Digital health tools · free to read (page 1 of 23) · 27,780 in the whole library · How the 0–100 score works

Download bibliography of the first 500 of these studies, in this order: BibTeX (.bib) · RIS (.ris)

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

What “Digital health tools” covers

Digital health tools — Apps, wearables, online tests and other technology used to detect, monitor or support people with dementia.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Rates of cognitive decline in Alzheimer's disease (AD) are extremely heterogeneous. 1 key finding →

Design: case-control study Participants: 3,397 Evidence: moderate

Where appropriate, we undertook subgroup analysis by modality (individual versus group), number of sessions and frequency, setting (community versus care home), type of control condition and dementia severity. 5 key findings →

Design: systematic review Participants: 37 Evidence: high

AI-based differential diagnosis of dementia etiologies on multimodal data

✓ Peer-reviewed alzhub usefulness score 71 out of 100. Nature medicine 2024-07-04

Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. 1 key finding →

Participants: 51,269 Evidence: low

The literature has several methodological limitations including lack of sufficient algorithm development descriptions and standard definitions. 1 key finding →

Participants: 255 Evidence: moderate

Therefore, we conducted a longitudinal study to examine whether PM2.5 affects the episodic memory decline, and also explored the potential mediating role of increased neuroanatomic risk of Alzheimer's disease associated with exposure. 5 key findings →

Design: longitudinal study Participants: 998 Evidence: moderate

We performed a systematic review of studies focusing on the automatic prediction of the progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a quantitative analysis of the methodological choices impacting performance. 1 key finding →

Design: systematic review Participants: 172 Evidence: high

Our prediction model was internally evaluated based on five-fold cross-validation on discrimination and calibration, and it was further compared with existing prediction scales. 2 key findings →

Design: longitudinal study Participants: 2,416 Evidence: moderate

The plush toy used in this study offered marginally greater value for money than PARO in improving agitation. 4 key findings →

Design: randomized controlled trial Participants: 415 Evidence: high

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

On meta-analysis, PARO had no ST or LT compared to UC or AC over 5-12 weeks on agitation (ST vs UC, 4 trials, 153 participants: pooled standardized mean difference (SMD) 0.25; - 0.57 to 0.06; LT vs UC; 2 trials, 77 participants, SMD = -0.24; - 0.94, 0.46), cognition (ST vs UC, 3 trials, 128 participants: SMD= 0.03; -0.32, 0.38), overall neuropsychiatric symptoms (ST vs UC, 3 trials, 169 participants: SMD= -0.01; -0.32, 0.29; ST vs AC, 2 trials, 145 participants: SMD =0.02, -0.71, 0.85), apathy (ST vs AC, 2 trials, 81 participants: SMD= 0.14; 0.29, 0.58), depression (ST vs UC, 4 trials, 181 participants; SMD= 0.08; -0.52, 0.69; LT vs UC: 2 trials, 77 participants: SMD =0.01; -0.75, 0.77), anxiety (ST vs UC: 2 trials, 104 participants, SMD= 0.24; -0.85, 1.33) and quality of life (ST vs UC, 2 trials, 127 participants: SMD=-0.05; -0.52, 0.42; ST vs AC: 2 trials, 159 participants, SMD =-0.36, -0.76, 0.05). 1 key finding →

Design: systematic review Participants: 153 Evidence: high

Targeted clinical application of specific technologies is poised to revolutionize precision care in dementia as these technologies may be used both by patients and caregivers, and at a systems level to provide safe and effective care. 2 key findings →

Design: systematic review Participants: 1,337 Evidence: high

The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct disease trajectories. 1 key finding →

Design: cross-sectional Evidence: low

Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dimensional, censored, heterogeneous and contain missing information, presenting challenges to traditional statistical analysis. 1 key finding →

Design: cohort study Participants: 1,037 Evidence: moderate

Despite the promise of a multitude of sensors and devices that can be applied, there are no agreed-upon standards for digital biomarkers, nor are there comprehensive evidence-based results for which digital biomarkers may be demonstrated to be most effective. 3 key findings →

Participants: 279 Evidence: low

Increased CSF neurogranin concentration is specific to Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 66 out of 100. Neurology 2016-01-29

An optimized immunoassay was used to analyze CSF Ng in a retrospective cohort of 331 participants with different neurodegenerative diseases, including healthy controls (n = 19), biomarker-proven Alzheimer disease (AD) (n = 100), genetic AD (n = 2), behavioral variant frontotemporal dementia (n = 20), speech variant frontotemporal dementia (n = 21), Lewy body dementia (n = 13), Parkinson disease (n = 31), progressive supranuclear palsy (n = 46), multiple system atrophy (n = 29), as well as a heterogeneous group with non-neurodegenerative cognitive impairment (n = 50). 1 key finding →

Design: retrospective cohort Participants: 19 Evidence: moderate

These findings suggest that machine learning algorithms could accurately predict incident dementia within 2 years in patients receiving care at memory clinics using only 6 variables. 5 key findings →

Design: prospective cohort Participants: 307 Evidence: moderate

Although behavioral variant frontotemporal dementia (bvFTD) is classically defined by behavioral and socio-emotional changes, impairments often extend to other cognitive functions. 2 key findings →

Design: systematic review Participants: 181 Evidence: high

Although the performance of the different methods still has room for improvement, the results are promising and this methodology has a great potential as a support tool for clinicians and healthcare professionals. 3 key findings →

Design: systematic review Evidence: high

There was some evidence that the use of smartphones and tablets could aid cognitive function in older adults without cognitive impairment, particularly executive function and processing speed. 1 key finding →

Design: systematic review Participants: 28 Evidence: high

MYB will be the largest internet-based trial to attempt to prevent cognitive decline and potentially dementia. 5 key findings →

Design: randomized controlled trial Evidence: high

The insular cortex is proposed to function as a central brain hub characterized by wide-spread connections and diverse functional roles. 5 key findings →

Design: systematic review Participants: 2,261 Evidence: high

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Where “Free full text” comes from

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.

How the 0–100 score works — and why some entries are capped

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.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

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 27,780 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.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), 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.

1,034 records (3.7% 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 →

Newest studies, as a dated timeline →    Atom feed