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Find studies

Showing 651–675 of 1,139 studies in Cognitive tests and assessment marked Peer-reviewed (page 27 of 46) · 30,980 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 “Cognitive tests and assessment” covers

Cognitive tests and assessment — Memory and thinking tests, screening tools and rating scales: how well they measure what they claim to.

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.

When a test is based on an observed variable that lies on a continuous or graded scale, an assessment of the overall value of the test can be made through the use of a receiver operating characteristic (ROC) curve.

The OCS-Plus represents a major methodological advance in dementia studies in LMICs, and enhances understanding of cognitive aging. 1 key finding →

Design: cross-sectional Evidence: moderate

Decades of research has established a shift from an "eveningness" preference to a "morningness" preference with increasing age. 4 key findings →

Participants: 169 Evidence: low

Digital assessments are effective at identifying at-risk individuals, supporting their utility as low-burden tools for early AD detection and monitoring. 2 key findings →

Evidence: low

This work demonstrates a mobile version of VisMET capable of estimating the presence of cognitive impairment. 1 key finding →

Participants: 250 Evidence: low

We investigated whether a validated computerized cognitive test, the Computerized Assessment of Mild Cognitive Impairment (CAMCI), could be independently completed by older primary care patients. 1 key finding →

Participants: 130 Evidence: low

33 Chinese- and 117 English-speaking older adults who received a diagnosis of normal cognition or mild cognitive impairment at consensus were included in the data analysis. 5 key findings →

Evidence: low

Reduced speed and reduced smoothness in speed and pressure were observed particularly in the LBD group, while increased pauses and total durations were observed in both the AD and LBD groups. 3 key findings →

Participants: 47 Evidence: low

Eighty-three apps were reviewed (stroke, N=8; migraine, N=25; Alzheimer's disease and dementia, N=8; depression, N=7; anxiety, N=14; apps targeting depression and anxiety, N=21). 4 key findings →

Design: cross-sectional Evidence: low

In MCI subjects, the NCPT composite is significantly correlated with both a composite measure of established tests (r = 0.78, p < 0.0001) as well as with the ADAS-Cog (r = -0.55, p < 0.0001). 5 key findings →

Design: cross-sectional Evidence: low

Smartphone applications for informal caregivers of chronically ill patients: a scoping review

✓ Peer-reviewed alzhub usefulness score 48 out of 100. NPJ digital medicine 2022-03-21

Mobile-health applications can be used to deliver timely and personalized health information to family and friends of chronically ill adults living in the community. 5 key findings →

Participants: 15 Evidence: low

The median (interquartile range) test time for MARC was 401 (350-453) s. Total MARC scores were significantly worse in the MCI and ADD groups than in the NDC group (p < 0.05 and p < 0.01, respectively). 5 key findings →

Participants: 64 Evidence: low

Peruvian validation and standardization of the TabCAT-brain health assessment

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Frontiers in public health 2025-08-29

By incorporating sex, place of residence, age, and years of education as covariates, the TabCAT-BHA demonstrated greater accuracy in detecting cognitive impairment (AUC = 75.3%) compared to the MMSE (AUC = 66.4%) and RUDAS (AUC = 71.4%). 3 key findings →

Evidence: low

The results show evidence for increased performance in the assessment of general cognitive functioning in both EGs (p ≤ 0.05). 5 key findings →

Participants: 84 Evidence: low

Average adherence was 41%. Despite this, remote measures demonstrated excellent reliability (ICCs > 0.90 after 10 sessions) and strong construct validity, with tasks loading onto memory, attention, and executive function domains. 5 key findings →

Evidence: moderate

More women than men were in the patient group (χ 2 1 =17.2, P<.001) and in the caregiver group (χ 2 1 =22.2, P<.001). 4 key findings →

Design: cross-sectional Evidence: low

Prodromal cognitive disorder in Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 48 out of 100. International journal of geriatric psychiatry 1999-07-01

Patterns of cognitive impairment may be detected in cases of AD 2 years before formal clinical diagnosis, although high education level prolongs competence, principally on verbal tasks. 3 key findings →

Participants: 150 Evidence: moderate

In this study, functional near-infrared spectroscopy (fNIRS) was used to record brain activation during cognitive testing in older individuals (88±6yo; N = 19) living in residential care communities. 3 key findings →

Participants: 19 Evidence: low

The lived experience of people living with dementia and mild cognitive impairment emphasises the central role of smart devices in their lives, and the need for research to move beyond rehearsal of what is needed to co-production and evaluation of smart technology-based educational interventions. 1 key finding →

Participants: 29 Evidence: low

This study is a rare example that focuses on both groups with SCI and AD. 2 key findings →

Participants: 60 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 30,980 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 30,980 records, built mostly from automated pulls of Europe PMC (65.2% of the library) and OpenAlex (16.4%), 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.

1,042 records (3.4% of the library) are not peer-reviewed — 967 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    Where this research is being discussed: events