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Find studies

Showing 1–14 of 14 studies in Digital health tools · tagged Side Effects · 27,380 in the whole library · How the 0–100 score works

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 same daily ACB score was associated with a different degree of risk, depending on the ACB ratings of the individual drugs comprising the score. 5 key findings →

Design: cohort study Participants: 10,698 Evidence: moderate

Study objective To examine the risks and compare the occurrences of major long-term side effects (sexual dysfunction, bone fractures, diabetes, cardiovascular morbidity, acute myocardial infarction [MI], and dementia) in patients with prostate cancer who received androgen-deprivation therapy (ADT) with those who did not. 5 key findings →

Design: cohort study Participants: 201,797 Evidence: moderate

Our findings suggest that long-term use of BZDs is associated with an increased risk for dementia, but the underlying mechanisms remain unclear, and further investigations are needed. 3 key findings →

Design: case-control study Participants: 779 Evidence: moderate

Taking more anticholinergic medications is associated with greater risk of hospitalization for confusion or dementia. 3 key findings →

Design: cohort study Evidence: moderate

The use of anticholinergic medications among patients with OAB was associated with an increased risk of new-onset dementia compared to beta-3 agonist users. 5 key findings →

Design: cohort study Evidence: moderate

After taking into consideration a possible protopathic bias in the 2 years preceding the AD diagnosis date, benzodiazepine use was not associated with an increased risk of developing AD. 4 key findings →

Design: case-control study Evidence: moderate

There is an urgent need for greater consideration of the ethical and legal implications that remote technological monitoring might have upon workforce morale, recruitment and retention. 1 key finding →

Evidence: low

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

Although the warnings slowed the growth in the use of atypical antipsychotic drugs among patients with dementia, they did not reduce the overall prescription rate of these potentially dangerous drugs. 5 key findings →

Evidence: low

Artificial intelligence approach to optimise safety for hospitalised patients with dementia

✓ Peer-reviewed alzhub usefulness score 36 out of 100. BMJ Open Quality 2025-09-01

We used 1387 safety event reports for model development, 989 (71.3%) reports related to situational factors and 119 (8.6%) reports related to active failures. 5 key findings →

Evidence: low

Outcomes of antipsychotic drug use in community-dwelling elders with dementia

✓ Peer-reviewed alzhub usefulness score 36 out of 100. Archives of psychiatric nursing 2006-10-01

This study used administrative data from a large health care insurer in the southeast United States to describe the utilization pattern and health care outcomes of antipsychotic drug use in community-dwelling elders with dementia. 1 key finding →

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 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.

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 27,380 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 →

Newest studies, as a dated timeline →    Atom feed