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Find studies

Showing 176–200 of 209 studies with an author at Icahn School of Medicine at Mount Sinai (US) (page 8 of 9) · 28,580 in the whole library · How the 0–100 score works

Download bibliography of these 209 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.

In this sample of older individuals, a higher dropout rate occurred in those assigned to the high-technology assessment techniques; however, once participants had completed baseline in all 3 arms, they continued participation through 1 month. 2 key findings →

Evidence: high

Cerebellar degeneration associated with human immunodeficiency virus infection

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Neurology 1998-01-01

Cerebellar disorders associated with HIV infection are typically the result of discrete cerebellar lesions resulting from opportunistic infections such as toxoplasmosis and progressive multifocal leukoencephalopathy or primary CNS lymphoma. 2 key findings →

Evidence: low

Out of Pocket Costs for People with Dementia: A Comparison Across Insurance Types

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Innovation in Aging 2025-12-01

Among PWD with Medicaid, out-of-pocket costs for nursing homes and assisted living facilities were significantly higher (60%) compared to those TM (33%) and MA (30%). 5 key findings →

Design: cohort study Evidence: moderate

Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), Neuropsychiatric Inventory Questionnaire (NPI-Q), and Clinical Dementia Rating (CDR) scale plus National Alzheimer's Coordinating Center-Frontotemporal Lobar Degeneration module (NACC-FTLD). 5 key findings →

Participants: 168 Evidence: low

Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy associated with repetitive head impact (RHI) exposure. 3 key findings →

Evidence: low

Finally, at the RHOJ locus, the rare allele was associated with increased tTau ( p ‐value=4.74×10 ‐05 ) and pTau181 ( p ‐value=4.07×10 ‐07 ), and decreased Aβ42/40 ratio ( p ‐value=4.32×10 ‐05 ). 2 key findings →

Participants: 91 Evidence: moderate

Participants had age mean = 81.7, SD = 4.5, range=75-93; educational attainment mean = 14.6, SD = 4.0, range=7-22, 17.2% < 12; 86.2% were women. 5 key findings →

Evidence: low

Latino Caregiver Experiences With Dementia Care and Healthcare Navigation

✓ Peer-reviewed alzhub usefulness score 39 out of 100. Journal of the American Geriatrics Society 2025-10-06

We identified two main themes (each with subthemes) that influence Latino dementia caregiver experiences with healthcare: (1) caregiving and understanding of dementia shaped by individual, family, and social factors (subthemes: Caregiver's own understanding of dementia; Lack of support and understanding from family; Latino cultural perspectives on dementia); and (2) navigating formal services amid gaps in cultural alignment and support (subthemes: Trial and error: education and resource gaps; Cultural tension with healthcare). 4 key findings →

Evidence: low

Dementia disproportionately affects Hispanic/Latino caregivers, and while some interventions exist, their consideration of intersectional factors remains unclear. 1 key finding →

Participants: 41 Evidence: low

Home-based medical care (HBMC) delivers physician or advanced practice provider-led medical services for patients in private residences and domiciliary settings (eg, assisted living facilities, group/boarding homes). 2 key findings →

Evidence: low

Transcriptional regulation of the gene encoding the amyloid precursor protein (APP) may play an important role in the formation of the amyloid depositions observed in Alzheimer disease and Down syndrome patients. 4 key findings →

Evidence: low

Artificial intelligence as an emerging technology in the current care of neurological disorders

✓ Peer-reviewed alzhub usefulness score 36 out of 100. Journal of neurology 2019-08-26

The smart device system to monitor tremors and to recognize its phenotypes for better outcomes of deep brain stimulation, applications evaluating fine motor functions, AI integrated electroencephalogram learning to diagnose epilepsy and psychological non-epileptic seizure, predict outcome of seizure surgeries, recognize patterns of autonomic instability to prevent sudden unexpected death in epilepsy (SUDEP), identify the pattern of complex algorithm in neuroimaging classifying cognitive impairment, differentiating and classifying concussion phenotypes, smartwatches monitoring atrial fibrillation to prevent strokes, and prediction of prognosis in dementia are unique examples of experimental utilizations of AI in the field of neurology. 1 key finding →

Evidence: low

Prediction of mild cognitive impairment using blood multi-omics data

✓ Peer-reviewed alzhub usefulness score 36 out of 100. Frontiers in Genetics 2025-05-26

Mild cognitive impairment (MCI) represents an initial phase of memory or other cognitive function decline and is viewed as an intermediary stage between normal aging and Alzheimer's disease (AD), the most prevalent type of dementia. 3 key findings →

Evidence: low

Participants reported routine screening for cognitive impairment only in the context of the Medicare annual wellness visit and generally avoided routine screening because of limited treatment options to support patients, such as poor access to geriatrics/neuropsychiatric services. 5 key findings →

Evidence: low

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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 28,580 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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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 (3.6% 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