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

Find studies

Showing 1–25 of 30 studies in Risk factors published 2019 · free to read (page 1 of 2) · 27,380 in the whole library · How the 0–100 score works

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

What “Risk factors” covers

Risk factors — Conditions, exposures and habits linked to a higher or lower chance of dementia, and how strong each link is.

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.

Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. 5 key findings →

Design: meta-analysis Participants: 94,437 Evidence: high

In a large placebo-controlled randomized trial, we found that pantoprazole is not associated with any adverse event when used for 3 years, with the possible exception of an increased risk of enteric infections. 5 key findings →

Design: randomized controlled trial Participants: 8,791 Evidence: high

In analyses that addressed bias due to reverse causation, physical inactivity was not associated with all-cause dementia or Alzheimer's disease, although an indication of excess dementia risk was observed in a subgroup of physically inactive individuals who developed cardiometabolic disease. 2 key findings →

Design: meta-analysis Participants: 404 Evidence: high

Letters18 February 2020Geographic Variation in Prevalence of Adult Obesity in China: Results From the 2013–2014 National Chronic Disease and Risk Factor SurveillanceXiao Zhang, MD, PhD, Mei Zhang, MD, PhD, Zhenping Zhao, MD, Zhengjing Huang, MPH, Qian Deng, MD, PhD, Yichong Li, MD, PhD, An Pan, MD, PhD, Chun Li, MD, Zhihua Chen, MD, Maigeng Zhou, MD, PhD, Chao Yu, PhD, Alfred Stein, PhD, Peng Jia, PhD*, and Limin Wang, MPH*Xiao Zhang, MD, PhDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Mei Zhang, MD, PhDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Zhenping Zhao, MDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Zhengjing Huang, MPHNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Qian Deng, MD, PhDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Yichong Li, MD, PhDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), An Pan, MD, PhDSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (A.P.), Chun Li, MDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Zhihua Chen, MDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China (X.Z., M.Z., Z.Z., Z.H., Q.D., Y.L., C.L., Z.C., M.Z., L.W.), Maigeng Zhou, MD, PhDNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and 4 key findings →

Design: systematic review Evidence: high

Clinical studies found that elevated cortisol was associated with poorer overall cognitive functioning, as well as with poorer episodic memory, executive functioning, language, spatial memory, processing speed, and social cognition; while in animals, glucocorticoid administration resulted in cognitive impairment and abnormal behavior. 5 key findings →

Evidence: low

Cognitive dysfunction in diabetes: how to implement emerging guidelines

✓ Peer-reviewed alzhub usefulness score 51 out of 100. Diabetologia 2019-08-16

Cognitive dysfunction, including mild cognitive impairment and dementia, is increasingly recognised as an important comorbidity and complication of diabetes that affects an individual's well-being and diabetes management, and is associated with diabetes treatment-related complications. 2 key findings →

Evidence: low

Biomarker-guided clustering of Alzheimer's disease clinical syndromes

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Neurobiology of Aging 2019-09-10

Alzheimer's disease (AD) neuropathology is extremely heterogeneous, and the evolution from preclinical to mild cognitive impairment until dementia is driven by interacting genetic/biological mechanisms not fully captured by current clinical/research criteria. 2 key findings →

Participants: 20 Evidence: low

α-synuclein in the pathophysiology of Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Molecular neurodegeneration 2019-06-11

The Alzheimer's disease (AD) afflicted brain is neuropathologically defined by extracellular amyloid-β (Aβ) plaques and intraneuronal neurofibrillary tangles composed of hyperphosphorylated tau protein. 2 key findings →

Evidence: low

In China, the crude mortality from AD and other forms of dementia increased from 2009 to 2015, but the age-standardized mortality decreased. 5 key findings →

Evidence: low

We found 5 distinct clusters of subjects (N=38, N=16, N=24, N=14, N=21) with a composition statistically independent from that obtained using available clinical diagnostic criteria (each cluster included all phenotypical groups). 3 key findings →

Participants: 20 Evidence: moderate

Stalling life expectancy and increased mortality in working ages deserve urgent attention

✓ Peer-reviewed alzhub usefulness score 36 out of 100. The Lancet Public Health 2019-11-01

The effect of austerity and associated budgets are strong contenders,3Ruckert A Labonté R Health inequities in the age of austerity: the need for social protection policies. 3 key findings →

Evidence: low

The Healthy Brain Initiative: The Public Health Road Map for State and National Partnerships was recently updated for years 2018-2022, which includes recommendations for implementing emergency preparedness (EP) measures at the state and local levels with attention to the unique needs of people living with Alzheimer's disease and other related dementias (ADRD). 2 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.

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 →

Newest studies, as a dated timeline →    Atom feed