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 Helpline800-272-390024 hours a day, 365 days a yearFree, confidential support and information for people with dementia, caregivers, families and the public. Master's-level clinicians. Also Spanish.
988 Suicide & Crisis Lifeline98824/7Call 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) Helpline866-232-84849:00 am - 9:00 pm ET, seven days a weekLicensed 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.
Research
28,180 Alzheimer's and dementia studies in plain English, each scored out of 100.
Find studies
Showing 301–325 of 3,336 studies · tagged Biomarkers(page 13 of 134)· 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)
From OpenAlex; 13,658 studies have no institution on record and are not counted here.
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.
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·JAMA neurology·2019-11-01
Blood biomarkers able to diagnose Alzheimer disease (AD) at the preclinical stage would enable trial enrollment when the disease is potentially reversible. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·Neurology·2023-10-11
This study included patients with clinical SCD and SCD-free, healthy control (HC) participants with available baseline CSF and/or longitudinal cognitive data from the observational DZNE Longitudinal Cognitive Impairment and Dementia study. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·Nature aging·2020-11-30
We developed models for individualized risk prediction of cognitive decline in mild cognitive impairment (MCI) using plasma biomarkers of β-amyloid (Aβ), tau and neurodegeneration. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·Nature Medicine·2025-03-31
Insoluble tau aggregates within neurofibrillary tangles are a defining neuropathological feature of Alzheimer’s disease (AD) and closely correlate with clinical symptoms. 2 key findings →
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·Annals of Neurology·2009-03-19
CSF A beta(1-42) was the most sensitive biomarker for AD in the autopsy cohort of CSF samples: receiver operating characteristic area under the curve of 0.913 and sensitivity for AD detection of 96.4%. 4 key findings →
These findings provide no evidence of a group-level Alzheimer-related p-tau217 elevation in young people with DSRD and support DSRD as a condition distinct from Alzheimer's disease. 5 key findings →
Several promising plasma biomarkers for Alzheimer's disease have been recently developed, but their neuropathological correlates have not yet been fully determined. 2 key findings →
This large study shows the role of plasma biomarkers in differentiating patients with different dementias, and at monitoring longitudinal change. 5 key findings →
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·JAMA network open·2019-12-02
Data from 362 study participants were analyzed (mean [SD] age, 65.6 [7.9] years), of whom 152 (42.0%) were African American, 230 (63.5%) were women, and 189 (52.2%) had MCI. 4 key findings →
Our results demonstrate the feasibility and potential of immunoassay-based multiplexing to provide a comprehensive view of AD-associated proteomic changes, consistent with the recently revised biological and diagnostic framework. 5 key findings →
The development of blood-based biomarkers of Alzheimer's disease (AD) pathology as tools for screening the general population is essential, but persists controversies. 2 key findings →
Astrocytes are the most abundant cell type in the human central nervous system, and they play an important role in the regulation of neuronal physiology. 1 key finding →
Plasma markers can track biological change over time, with plasma pTau181 and GFAP markers showing longitudinal change in individuals with preclinical AD. 3 key findings →
The positive finding of lower EV Aβ42 supports emerging evidence that plasma neuronal EVs provide an effective platform for demonstrating biomarker responses in clinical trials in AD. 3 key findings →
✓ Peer-reviewedalzhub usefulness score 67 out of 100.·Brain·2020-04-29
Principal component analysis identified patterns of variation in baseline and longitudinal measures of tau uptake and volume that were significantly different across phenotypes. 2 key findings →
In the CU, amyloid-negative (A-) subset, plasma p-tau217 levels increased modestly with age but were unaffected by body mass index and kidney function. 4 key findings →
10 of the 3,322 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
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 tierup to 10 pts
Journal's citation recordup to 4 pts
Study designup to 12 pts
Strength of evidenceup to 5 pts
Peer-review validationup to 10 pts
How recentup to 5 pts
Sample sizeup to 4 pts
Effect reportedup to 3 pts
Studied in peopleup to 3 pts
Randomised / blindedup to 2 pts
Times citedup to 7 pts
Citations per yearup to 5 pts
Impact for its field and yearup to 6 pts
Cited by studies hereup to 6 pts
Still being citedup to 4 pts
Senior author's track recordup to 4 pts
Institution's track recordup to 3 pts
Multi-centre collaborationup to 3 pts
Indexed in PubMedup to 2 pts
Free to readup 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.