Rates of cognitive decline in Alzheimer's disease (AD) are extremely heterogeneous. 1 key finding →
Design: case-control study Participants: 3,397 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Research
27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
In the prospective GLORIA-AF registry of AF patients, the presence of clinical complexity was associated with lower odds of being prescribed with OAC (odds ratio [OR] 0.50, 95% confidence interval [CI] 0.44–0.57), higher OAC discontinuation, and with a higher risk of adverse events (hazard ratio [HR] 1.63, 95% CI 1.43–1.86).[ 4 ] Indeed, “high clinical complexity” patients defined using latent class analysis constituted 6.6% of AF patients, and was associated with higher hazards of experiencing the primary composite outcome of all-cause death and major adverse cardiovascular events (HR 1.47, 95% 1.24–1.75).[ 5 ] Comorbidities and polypharmacy have an important influence on decision-making, by conditioning either lack of prescription of OAC in patients at risk or inappropriate dosing.[ 6 ] [ 7 ] [ 8 ] Recognizing that AF management is more than simply OAC alone, and requires a holistic and integrated care approach, contemporary guidelines globally on AF management have promoted this concept, based on the Atrial fibrillation Better Care (ABC) pathway, emphasizing Anticoagulation, Better symptom management with rate or rhythm control, and Comorbidity/lifestyle management.[ 9 ] [ 10 ] [ 11 ] The ABC pathway is well supported by clinical trial and real-world evidence,[ 11 ] whereby adherence to the ABC pathway is associated with a reduction in all-cause and cardiovascular mortality, stroke, and bleeding.[ 12 ] [ 13 ] Despite this, adherence to ABC-based management remains low, whereby a meta-analysis of 14 studies revealed that only 21% (95% CI 13–34%) of AF patients were managed in accordance with the ABC pathway.[ 12 ] This perhaps highlights a critical gap in the implementation of comprehensive evidence-based care strategies. 2 key findings →
Design: meta-analysis Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and increase dementia risk, but their specific magnetic resonance imaging signatures (MRI) remain poorly characterized. 1 key finding →
Design: cohort study Participants: 37,096 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
We evaluated 62 Automated speech analysis demonstrated high accuracy in differentiating FTD subtypes and provided insights into the neural basis of language impairments. 3 key findings →
Design: cross-sectional Participants: 16 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Among 2699 articles initially screened, 21 studies were included, encompassing over 1 million participants. 5 key findings →
Design: systematic review Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
BackgroundAccurate and accessible risk assessment tools are essential for effective dementia management. 3 key findings →
Design: longitudinal study Participants: 27,768 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
74,396 patients (median age 84, IQR 78-89; 68% female) were analyzed. 5 key findings →
Design: cohort study Participants: 74,396 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
The APOE ε4 genetic variant is the strongest genetic risk factor for late-onset Alzheimer's disease (AD) and is increasingly being implicated in other neurodegenerative diseases. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The discovery cohort contained 3,671 individuals with a mean age of 68 years and consisted of 49% reported female. 5 key findings →
Participants: 3,671 Evidence: moderate
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Light Gradient-boosting Machine (LightGBM) achieved the highest performance in identifying agitation over an 8-day period with a sensitivity of 71.32% ± 7.38 and specificity of 75.28% ± 7.38. 5 key findings →
Design: longitudinal study Participants: 63 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies. 5 key findings →
Evidence: moderate
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ATTRACTnet was developed in an internal test set of 799 patients (mean [SD] age, 75.1 [11.1] years; 516 [64.7%] male and 283 [35.3%] female) using 5-fold cross-validation with an additional external test set of 422 patients. 5 key findings →
Design: open-label trial Participants: 799 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
Age, education level, number of pain sites, pain duration, pain level, depression and sleep quality were risk factors of MCI in older patients with chronic pain. 5 key findings →
Design: longitudinal study Participants: 612 Evidence: moderate
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Early detection of Alzheimer's disease (AD) is critical yet challenging, particularly in younger individuals. 1 key finding →
Design: longitudinal study Participants: 120 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
54/100
We identify three distinct profiles: active healthy sleepers (AHS; 64.0%), fragmented poor sleepers (FPS; 14.1%), and long and frequent nappers (LFN; 21.9%). 3 key findings →
Design: cohort study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
To develop a simplified smell test for identifying patients with Parkinson's disease (PD), we reevaluated the Sniffin'-Sticks-Identification-Test (SST-ID) and University-of-Pennsylvania-Smell-Identification-Test (UPSIT), using three case-control studies. 1 key finding →
Design: case-control study Participants: 301 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
This study included 33,355 patients in the training, 14,294 in the internal validation, and 6711 in the external validation sets. 5 key findings →
Design: cohort study Participants: 33,355 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
A total of 6378 papers published between 2014 and 2023 were analyzed. 5 key findings →
Participants: 6,378 Evidence: low
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Random forest classifier and feature selection procedures were used to select digital biomarkers. 1 key finding →
Participants: 1,324 Evidence: low
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11 variables were critical in the training phase, including educational level, depression, insomnia, age, Body Mass Index (BMI), medication count, gender, stenting, systolic blood pressure (sbp), neurosis and rapid eye movement. 4 key findings →
Design: cross-sectional Participants: 2,379 Evidence: low
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Neurological disorders are among the leading causes of both physical and cognitive disabilities worldwide, affecting approximately 15% of the global population. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Cognitive impairment and dementia, including Alzheimer's disease (AD), pose a global health crisis, necessitating non-invasive biomarkers for early detection. 1 key finding →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Advancing the understanding and management of Alzheimer's disease and related dementias requires integrating and analyzing diverse data modalities. 5 key findings →
Design: longitudinal study Evidence: moderate
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Actigraphy accurately identifies different dementia etiologies and could serve as a supplement to diagnostic investigations in patients with suspected AD for differential diagnostic purposes. 1 key finding →
Design: cross-sectional Participants: 29 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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
Full summary, score breakdown and related studies → Original source Free full text
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 →