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Find studies

Showing 626–650 of 1,172 studies · free to read · tagged Early Stage (page 26 of 47) · 31,380 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.

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.

Characterizing Alzheimer's disease using a hypometabolic convergence index

✓ Peer-reviewed alzhub usefulness score 51 out of 100. NeuroImage 2011-01-27

This article introduces a hypometabolic convergence index (HCI) for the assessment of Alzheimer's disease (AD); compares it to other biological, cognitive and clinical measures; and demonstrates its promise to predict clinical decline in mild cognitive impairment (MCI) patients using data from the AD Neuroimaging Initiative (ADNI). 2 key findings →

Evidence: low

Pattern of regional cortical thinning associated with cognitive deterioration in Parkinson's disease

✓ Peer-reviewed alzhub usefulness score 51 out of 100. PloS one 2013-01-24

The pattern of regional decreased cortical thickness that relates to cognitive deterioration is present in PD-MCI patients, involving areas that play a central role in the storage of prior experiences, integration of external perceptions, and semantic processing. 2 key findings →

Participants: 26 Evidence: low

This article presents recommendations, based on the Grading of Recommendations, Assessment, Development, and Evaluation method, for the clinical application of cerebrospinal fluid (CSF) amyloid-β 1-42 , tau, and phosphorylated tau in the diagnostic evaluation of patients with mild cognitive impairment (MCI). 2 key findings →

Evidence: low

APOE and Trem2 are major genetic risk factors for Alzheimer's disease (AD), but how they affect microglia response to Aβ remains unclear. 4 key findings →

Evidence: low

Isoprostanes and prostaglandins are biomarkers for oxidative stress and inflammation. 4 key findings →

Evidence: moderate

It is largely unknown how alcohol use affects the risk of Alzheimer`s disease (AD). 4 key findings →

Design: cohort study Participants: 301 Evidence: moderate

The Alzheimer's Disease Assessment Scale cognitive subscale (ADAS-Cog) is widely used in AD, but may be less responsive to change when used in people with mild cognitive impairment (MCI). 4 key findings →

Participants: 811 Evidence: low

In recent years, several high-dimensional, accurate, and effective classification methods have been proposed for the automatic discrimination of the subject between Alzheimer's disease (AD) or its prodromal phase {i.e., mild cognitive impairment (MCI)} and healthy control (HC) persons based on T1-weighted structural magnetic resonance imaging (sMRI). 4 key findings →

Participants: 326 Evidence: low

Machine learning (ML) on structural MRI data shows high potential for classifying Alzheimer's disease (AD) progression, but the specific contribution of brain regions, demographics, and proteinopathy remains unclear. 5 key findings →

Design: cross-sectional Participants: 568 Evidence: moderate

This study aims to identify depressive risks in elderly individuals with subjective cognitive decline (SCD) and develop a predictive model using machine learning algorithms to enable timely interventions. 3 key findings →

Design: longitudinal study Evidence: moderate

Mild cognitive impairment (MCI) is a significant and increasingly recognized problem in individuals with type 2 diabetes mellitus (T2DM). 2 key findings →

Design: prospective cohort Participants: 100 Evidence: moderate

• Longitudinal imaging-genetics study of hippocampal atrophy trajectories over 5 years in ADNI. • APOE -ε4 carriership and ApoE CSF proteomic quantitative trait loci are key genetic drivers of accelerated hippocampal atrophy in amyloid-positive MCI. • Genetic effects are stage-specific, with strongest associations during the prodromal phase of AD. • Sex differences in atrophy rates are observed, but do not significantly alter genetic influences. • Findings support the utility of APOE and functional genetic markers as stratification tools for early neurodegeneration in AD. 4 key findings →

Design: longitudinal study Participants: 1,051 Evidence: moderate

AI-powered model for accurate prediction of MCI-to-AD progression

✓ Peer-reviewed alzhub usefulness score 51 out of 100. Acta Pharmaceutica Sinica B 2025-02-10

Alzheimer's disease (AD) remains a formidable challenge in modern healthcare, necessitating innovative approaches for its early detection and intervention. 2 key findings →

Design: longitudinal study Evidence: moderate

In MCI and dementia, the HTS is an ecologically valid non-canonical sign, frequently occurs in daily life too, associated with longer disease duration and spatial disorientation. 2 key findings →

Design: retrospective cohort Participants: 71 Evidence: moderate

Our findings highlight the altered phases of swallowing in patients with dementia. 4 key findings →

Design: cross-sectional Participants: 158 Evidence: low

White matter hyperintensity (WMH), indicative of cerebral small vessel disease, has emerged as a potential biomarker for cognitive decline in Alzheimer's disease (AD). 2 key findings →

Design: cross-sectional Participants: 158 Evidence: low

Early and accurate detection of Alzheimer's disease (AD) is essential for timely intervention and development of disease-modifying treatments. 1 key finding →

Design: longitudinal study 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.

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 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