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Find studies

Showing 26–50 of 76 studies in Digital health tools published 2021 (page 2 of 4) · 28,580 in the whole library · How the 0–100 score works

Download bibliography of these 76 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.

The results were validated in an independent sample of 610 patients with Parkinson's disease from the National Institute of Neurological Disorders and Stroke Parkinson's Disease Biomarker Program (PDBP). 2 key findings →

Design: longitudinal study Participants: 423 Evidence: moderate

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

SiN hearing impairment is independently associated with incident dementia, providing further evidence for hearing impairment as a potential modifiable dementia risk factor. 4 key findings →

Participants: 1,285 Evidence: low

GPS driving: a digital biomarker for preclinical Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Alzheimer's research & therapy 2021-06-14

The findings suggest that GPS driving may serve as an effective and accurate digital biomarker for identifying preclinical AD among older adults. 2 key findings →

Participants: 64 Evidence: moderate

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

This proof-of-concept study demonstrates that automated deep learning-driven processing of audio recordings of neuropsychological testing performed on individuals recruited within a community cohort setting can facilitate dementia screening. 5 key findings →

Design: longitudinal study Evidence: moderate

Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of dementia with a great prevalence in western countries. 1 key finding →

Participants: 49 Evidence: low

Screening of Alzheimer's disease by facial complexion using artificial intelligence

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Aging 2021-01-25

Despite the increasing incidence and high morbidity associated with dementia, a simple, non-invasive, and inexpensive method of screening for dementia is yet to be discovered. 4 key findings →

Participants: 121 Evidence: low

Financial Presentation of Alzheimer Disease and Related Dementias

✓ Peer-reviewed alzhub usefulness score 53 out of 100. JAMA internal medicine 2021-02-01

Alzheimer disease and related dementias were associated with adverse financial events years prior to clinical diagnosis that become more prevalent after diagnosis and were most common in lower-education census tracts. 4 key findings →

Participants: 81 Evidence: low

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

Rare variants should only be investigated in users with a family history of early-onset dementia in a first degree relative. 5 key findings →

Evidence: low

Our results suggest that correlating NLP and ASA with clinician observations is an objective and novel approach to measuring speech and language changes in neurodegenerative disorders. 2 key findings →

Participants: 30 Evidence: low

The most impacting factors on digital divide in our population are the social support networks and the experience with the technology: the presence of a digital native caregiver. 2 key findings →

Participants: 34 Evidence: low

Dementia is the clinical syndrome characterized by progressive loss of cognitive and emotional abilities to a degree severe enough to interfere with daily functioning. 1 key finding →

Evidence: low

The dCDT is able to operationally define graphomotor output that cannot be measured using traditional paper and pencil test administration in older health controls and participants with dementia. 4 key findings →

Participants: 175 Evidence: low

Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Frontiers in aging neuroscience 2021-02-04

Oculomotor behavior can provide insight into the integrity of widespread cortical networks, which may contribute to the differential diagnosis between Alzheimer's disease and frontotemporal dementia. 2 key findings →

Participants: 93 Evidence: low

Relationship between Fried's frailty phenotype and oral frailty in long-term care residents

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Age and ageing 2021-11-01

Design the FINnish ORAL Health Study in Long-Term Care study is a cross-sectional clinical research comprising findings on oral and general health and nutrition. 1 key finding →

Design: cross-sectional Evidence: low

Frontotemporal lobar degeneration proteinopathies with tau inclusions (FTLD-Tau) or TDP-43 inclusions (FTLD-TDP) are associated with clinically similar phenotypes. 3 key findings →

Participants: 92 Evidence: moderate

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

This review should serve as a compendium of updated information on VaD and provide guidance in terms of newer diagnostic and potential therapeutic approaches. 2 key findings →

Design: narrative review Evidence: low

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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. Show only studies that are free to read

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 28,580 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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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 (3.6% 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