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Find studies

Showing 101–124 of 124 studies in Getting a diagnosis of type cohort or longitudinal study (page 5 of 5) · 31,380 in the whole library · How the 0–100 score works

Download bibliography of these 124 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 “Getting a diagnosis” covers

Getting a diagnosis — How Alzheimer's is identified, how accurate the tests are, and how early it can be caught.

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.

Dementia risk was significantly higher in patients with epilepsy compared with that of controls (IRR: 3.65; 95% CI: 3.14-4.24), especially within the first 2 years post-diagnosis (aHR: 5.42; 95% CI: 4.30-6.83), peaking between 8 and 10 years (aHR: 8.25; 95% CI: 3.15-21.5). 5 key findings →

Design: cohort study Participants: 2,740 Evidence: moderate

BackgroundIndividuals with type 2 diabetes have an increased risk of developing both vascular and Alzheimer's dementia. 4 key findings →

Design: cohort study Participants: 128 Evidence: moderate

(DIADEM) Digital Assessment of Auditory Perception in Dementia : Study Protocol

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Alzheimer s & Dementia 2025-12-01

We will assess the utility of auditory perceptual tests, both alone and combined with blood-based biomarkers (pTau217 and NfL), for diagnosis and prognosis in individuals with cognitive symptoms. 3 key findings →

Design: cohort study Participants: 600 Evidence: moderate

In the complex realm of cognitive disorders, Alzheimer's disease (AD) and vascular dementia (VaD) are the two most prevalent dementia types, presenting entangled symptoms yet requiring distinct treatment approaches. 1 key finding →

Design: longitudinal study Evidence: moderate

These lessons emphasize the importance of ensuring tests are feasible across both high-income countries and LMICs, maintaining consistency within studies and over time, and designing comprehensive cognitive batteries for improved measurement precision of general and domain-specific phenotypes. 4 key findings →

Design: longitudinal study Evidence: moderate

Linear mixed modelling of time effects found progression of all CBI-R domains, aside from sleep, beliefs and mood domains, and all ACE-III domains. 5 key findings →

Design: longitudinal study Evidence: moderate

China accounts for 1/5 of the global population and China faces a particularly heavy dementia burden due to its rapidly ageing population. 4 key findings →

Design: cohort study Evidence: moderate

Diagnostic challenges stem from overlapping symptoms of co-occurring neurodevelopmental and psychiatric conditions, rendering standard dementia tools insufficient. 5 key findings →

Design: longitudinal study Evidence: moderate

The NIA hopes to see continued collection and harmonization of the International HRS and HCAP data, as well as continued use of the data to advance our knowledge of how behavioral and social factors influence aging and life course outcomes, including those related to AD/ADRD. 5 key findings →

Design: longitudinal study Evidence: moderate

The ToAI framework followed a nine-step process: preparation, translation, native-speaker review, VIP team review, external panel review, pilot testing, proofreading, final formatting, and ongoing review and improvement. 4 key findings →

Design: cohort study Evidence: moderate

Data-driven subtypes of Alzheimer's Disease: A multicohort study

⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv (preprint) 2026-09-11

INTRODUCTIONIndividuals with Alzheimers disease (AD) exhibit substantial heterogeneity in the severity of vascular changes and neurodegeneration, making the identification of biologically meaningful subtypes across the AD spectrum critical for improving prognosis and tailoring interventions. 1 key finding →

Design: longitudinal study Participants: 1,396 Evidence: moderate

These findings show that model-based, adaptive assessments can support high-frequency, remote detection and scalable longitudinal monitoring of early memory decline, providing a new way to assess memory decline trajectories in healthy aging and dementia. 3 key findings →

Design: longitudinal study Participants: 24 Evidence: moderate

Adaptation and Validation of Brief Tablet-Based Cognitive Assessment Tool in Uganda

⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv (preprint) 2026-09-23

For TabCAT tests, there were no notable floor or ceiling effects, and test scores were associated with age and education as expected. 3 key findings →

Design: cohort study Participants: 563 Evidence: moderate

MTD showed excellent discrimination of CU versus MCI/DEM (AUC=.89; 95% CI=.87-.92), and discriminability remained high for CU versus MCI (AUC=.88; 95% CI=.85-.92). 5 key findings →

Design: cohort study Participants: 1,224 Evidence: moderate

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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
  • Randomized / 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
  • Multicenter 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 31,380 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 31,380 records, built mostly from automated pulls of Europe PMC (65.6% of the library) and OpenAlex (16.2%), 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.

1,048 records (3.3% of the library) are not peer-reviewed — 973 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