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Find studies

Showing 76–100 of 873 studies in Drug development (page 4 of 35) · 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 “Drug development” covers

Drug development — Candidate treatments on their way through the pipeline, from the laboratory to early human trials.

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.

Overall, 214,442 matched individuals initiated GLP-1 RAs or DPP4i (109,731 women, mean age 58.6 years [SD 12], and mean HbA1c 7.7% [1.4]). 5 key findings →

Design: cohort study Evidence: moderate

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), originally developed for type 2 diabetes mellitus and obesity, are increasingly recognized for their significant impact on the central nervous system, leading to reports of both beneficial and adverse mental health effects. 5 key findings →

Design: cohort study Evidence: high

Overall, 12 489 patients initiating SGLT2 inhibitor treatment (51.9% dapagliflozin and 48.1% empagliflozin) and 1075 patients initiating dulaglutide treatment were included. 5 key findings →

Participants: 489 Evidence: moderate

Metformin mitigates dementia risk among individuals with type 2 diabetes

✓ Peer-reviewed alzhub usefulness score 63 out of 100. Clinical diabetes and endocrinology 2024-05-10

This mini-narrative review explores the relationship between diabetes and dementia, focusing on the potential mitigating role of metformin in reducing cognitive decline among individuals with type 2 diabetes. 1 key finding →

Design: longitudinal study Evidence: high

Despite the increasing approval of antiamyloid antibodies for Alzheimer disease (AD), their clinical relevance and risk-benefit profile remain uncertain. 4 key findings →

Design: meta-analysis Participants: 21,236 Evidence: high

We determined the demographics and social drivers of health associated with utilization and initial adherence of these medications. 5 key findings →

Participants: 1,198,362 Evidence: low

Methylthioninium (MT) is a tau aggregation inhibitor with therapeutic potential in Alzheimer's disease (AD). 1 key finding →

Design: clinical trial Evidence: low

In the general population, the use of statins, but not of non-statin cholesterol-lowering drugs, was associated with a lower risk of AD compared with never use of cholesterol-lowering drugs. 5 key findings →

Design: cross-sectional Participants: 6,992 Evidence: moderate

The pooled trial included 88,381 participants who received prescriptions for GLP-1 agonists (n = 12,351), DPP-4 inhibitors (n = 43,850), or sulfonylureas (n = 32,216) at baseline and were followed for an average of 4.3 years. 5 key findings →

Participants: 12,351 Evidence: low

Cohort Profile Update: The Study of Health in Pomerania (SHIP)

✓ Peer-reviewed alzhub usefulness score 62 out of 100. International Journal of Epidemiology 2022-02-25

Therefore, respective software was developed in-house.8,9 Segmentation results are then analysed for potential associations with disease risks and to establish reference intervals of organ size and function.10 SHIP is also used as a basis for meta-research with a particular focus on incidental MRI findings and their effects on study participants.11,12 With its large amount of standardized data and the option to internally replicate findings from SHIP-START using data of the independent SHIP-TREND, the project offers good opportunities to apply new bioinformatical tools to mine the data and gain new insights into risk factors and pathomechanisms. 4 key findings →

Design: longitudinal study Evidence: moderate

Mary Poppins famously asserted that "a spoonful of sugar helps the medicine go down," but this bon mot is likely wrong in almost every way. 1 key finding →

Design: meta-analysis Participants: 74,148 Evidence: high

Use of metformin, DPP4 inhibitors, GLP1 analogs and SGLT2 inhibitors was associated with lower risk of dementia in patients with diabetes. 3 key findings →

Design: case-control study Participants: 250 Evidence: moderate

Genome-Wide Association Studies of ARIA From the Aducanumab Phase 3 ENGAGE and EMERGE Studies

✓ Peer-reviewed alzhub usefulness score 59 out of 100. Neurology 2023-12-28

Amyloid-related imaging abnormalities (ARIA) were the most common adverse events reported in the phase 3 ENGAGE and EMERGE trials of aducanumab, an anti-amyloid monoclonal antibody. 4 key findings →

Design: clinical trial Participants: 1,691 Evidence: moderate

Preclinical evidence in transgenic models of Alzheimer's disease suggests that liraglutide exerts neuroprotective effects by reducing amyloid oligomers, normalising synaptic plasticity and cerebral glucose uptake, and increasing the proliferation of neuronal progenitor cells. 4 key findings →

Participants: 206 Evidence: high

The increase in gray matter volume in these areas, which various neuroimaging and postmortem neuropathology studies have implicated in the neuropathophysiology of bipolar disorder, suggests that the observed effects may be linked to clinical response. 5 key findings →

Design: longitudinal study Participants: 28 Evidence: moderate

In animal models, the incretin hormone GLP-1 affects Alzheimer's disease (AD). 3 key findings →

Participants: 18 Evidence: high

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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 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