Cited by 22Alzheimer's disease research and treatmentsCholinesterase and Neurodegenerative DiseasesDementia and Cognitive Impairment Research

What have we learnt from past failures in Alzheimer’s disease drug discovery?

Open access
Cacabelos, Ramón·2022·Expert Opinion on Drug Discovery

Abstract

Alzheimer’s disease (AD) is a priority health problem in advanced societies and in many emerging and developing countries, with high cost for public health services, an overload on the economy of f...

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/17460441.2022.2033724

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Factors contributing to suboptimal performance of AD drugs include selection of drug targets, use of biomarkers and animal models in experimental designs, late treatment initiation, dose-dependent side effects, challenges in BBB permeability, and heterogeneous presentation of patients.

    “Factors contributing to the suboptimal performance of drugs include the selection of drug targets, the use of biomarkers and animal models in experimental designs, and other issues such as late treatment initiation, dose-dependent side effects, challenges in BBB permeability, and the heterogeneous presentation of patients.182,479,480”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Cacabelos R, Carril JC, Cacabelos P, et al. Pharmacogenomics of Alzheimer's Disease: genetic determinants of phenotypic variation and therapeutic outcome. J Genomic Med Pharmacogenomics. 2016;1:151-209.
  2. Cacabelos R, Goldgaber D, Vostrov A, et al. APOE-TOMM40 in the Pharmacogenomics of demetia. J Pharmacogen Pharmacoprot. 2014;5:135.
  3. Cacabelos R. Pharmacogenomic of drugs to treat brain disorders. Exp Rev Precis Med Drug Dev. 2020;5(3):181-234.
  4. VandeVrede L, Gibbs DM, Koestler M, et al. Symptomatic amy- loid-related imaging abnormalities in an APOE ε4/ε4 patient treated with aducanumab. Alzheimers Dement. 2020;12(1): e12101.
  5. Cacabelos R, Carrera I, Martínez-Iglesias O, et al. What is the gold standard model for Alzheimer's disease drug discovery and development? Expert Opin Drug Discov. 2021;25:1-26.

Cited by

Sorted by citations

Authors
Cacabelos, R.
Affiliations
EuroEspes Biomedical Research Center (ES)
Corresponding author
Cacabelos, Ramón
Venue
Expert Opinion on Drug Discovery
Published
2022-02-06
Volume
17
Issue
4
Pages
309-323
ISSN
  • 1746-0441 (ISSN-L)
  • 1746-045X
OpenAlex
W4210874196
Cited by
22
References
28
Citations by year
2026: 2 · 2025: 4 · 2024: 9 · 2023: 3 · 2022: 4
Type
journal article
Language
en
Open access
Locations
  • Expert Opinion on Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Funders
manuscript was not funded
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
Alzheimer's disease, drug discovery, drug development failure, clinical trial failure, translational research
MeSH terms
Alzheimer Disease, Humans, Pharmacogenetics, Drug Discovery

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review