Get help now — free helplines

You can call any of these for free. You do not need a diagnosis, an appointment, or a crisis to call — questions and plain exhaustion are reasons enough.

  • Alzheimer's Association 24/7 Helpline 800-272-3900 24 hours a day, 365 days a year Free, confidential support and information for people with dementia, caregivers, families and the public. Master's-level clinicians. Also Spanish.
  • 988 Suicide & Crisis Lifeline 988 24/7 Call or text 988, or chat at 988lifeline.org. For anyone in emotional distress or a mental-health crisis, including caregivers.
  • Alzheimer's Foundation of America (AFA) Helpline 866-232-8484 9:00 am - 9:00 pm ET, seven days a week Licensed social workers providing support, info and referrals. Also text message and web chat. Text: 646-586-5283

In a medical emergency, call 911. More numbers, and what each line does, on the help page.

Find studies

Showing 776–800 of 815 studies in Getting a diagnosis (page 32 of 33) · 28,180 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 “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.

The accuracy of α-synuclein-SAA for DLB was 87% (95% confidence interval [CI]: 77% to 98%) in CSF, 85% (95% CI: 75% to 98%) in skin, 58% (95% CI: 47% to 69%) in olfactory mucosa, and 59% (95% CI: 51% to 66%) in urine. 5 key findings →

Evidence: low

Towards an Equitable Approach to Multilingual Language Assessment in Dementia Care

✓ Peer-reviewed alzhub usefulness score 33 out of 100. Topics in Language Disorders 2026-07-01

Health disparities in dementia care are amplified among aging multilingual communities relative to their monolingual English-speaking counterparts, as social determinants of health and significant gaps in culturally responsive practice can contribute to misdiagnosis, underdiagnosis, and delays in intervention. 2 key findings →

Design: case report Evidence: low

The MoCA shows superior sensitivity for MCI detection compared to the Mini-Mental State Examination (MMSE), with strengths in brevity, multidomain coverage, and accessibility. 5 key findings →

Design: narrative review Evidence: low

VARABOM.D scores showed significant positive associations with established cognitive assessments. 5 key findings →

Evidence: low

This ultra-brief questionnaire enables rapid screening for cognitive impairment (in <1 min) by family members or as part of community geriatric assessments. 2 key findings →

Evidence: low

Salivary biomarkers for the molecular diagnosis of dementia with Lewy bodies

✓ Peer-reviewed alzhub usefulness score 32 out of 100. Journal of Alzheimer s Disease 2025-03-01

BackgroundDespite dementia with Lewy bodies (DLB) being the second most common form of neurodegenerative dementia, more than 80% of DLB cases are initially misdiagnosed. 2 key findings →

Evidence: low

Recent studies highlight the significance of plasma phosphorylated tau proteins, neurofilament light chain, and amyloid-beta ratios as reliable biomarkers. 4 key findings →

Evidence: low

Parameters such as clinical status, GCA scale, MTA scale, Fazekas scale, strategic infarction, Koedam score, stroke, hypertension, diabetes mellitus, dyslipidemia, and cardiovascular disease do not have significant correlations with MoCA-INA scores. 4 key findings →

Evidence: low

There was a significant correlation in MoCA and FLCI-2 measures but no significant correlation between the language measures (CIUs, FLCI-2, or word count). 3 key findings →

Evidence: low

Researchers tested whether a tablet-based cognitive test (TabCAT) could substitute for traditional paper-and-pencil memory tests in people with early-onset Alzheimer's. Scores on the tablet's attention/executive tasks correlated strongly (above 0.7) with standard tests like the MMSE and MoCA, and one subtest could distinguish people with amyloid plaques from those without with good accuracy (AUC 0.82). 5 key findings →

Design: cross-sectional Participants: 475 Evidence: moderate

The Dementia Trials Accelerator (DTA): a UK dementia trials-ready cohort

⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv (preprint) 2026-08-19

The Dementia Trials Accelerator (DTA) is a UK-wide programme designed to improve the feasibility, efficiency, and inclusiveness of recruitment into clinical trials of dementia and related brain-health conditions. 5 key findings →

Participants: 10,000 Evidence: low

Early identification of cognitive impairment remains challenging in settings where comprehensive cognitive and clinical assessments are not available. 1 key finding →

Evidence: low

The Middle East and North Africa (MENA) region is projected to experience the fastest growth in dementia burden globally, yet population-based data on cognitive aging remain scarce. 1 key finding →

Participants: 3,027 Evidence: low

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

Alcohol use disorder accelerates age-related cognitive decline

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

ObjectiveTo investigate whether a lifetime history of DSM-5 AUD and correlated indices of alcohol consumption are associated with accelerated age-related cognitive decline in middle-aged and older adults. 5 key findings →

Design: cross-sectional Participants: 1,421 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
  • 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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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