Evidence map›Paper›PMID 35330211›Full record

ReviewLife (Basel, Switzerland)2022

Personalized Management and Treatment of Alzheimer's Disease.

Ramón Cacabelos, Vinogran Naidoo, Olaia Martínez-Iglesias, Lola Corzo, Natalia Cacabelos, Rocío Pego, Juan C Carril

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. The Role of GCH1 Deficiency and Tetrahydrobiopterin in Mental Health.International journal of molecular sciences · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Using Artificial Intelligence to Learn Optimal Regimen Plan for Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Ramón CacabelosDepartment of Genomic Medicine, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.ORCID 0000-0002-0554-4037
Vinogran NaidooDepartment of Neuroscience, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.
Olaia Martínez-IglesiasDepartment of Medical Epigenetics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.
Lola CorzoDepartment of Medical Biochemistry, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.
Natalia CacabelosDepartment of Medical Documentation, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.
Rocío PegoDepartment of Neuropsychology, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.
Juan C CarrilDepartment of Genomics and Pharmacogenomics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, 15165 Bergondo, Corunna, Spain.ORCID 0000-0002-3159-3545
EuroEspes Biomedical Research Center · ES

Funding

EuroEspes Biomedical Research Center N/AInternational Agency for Brain Research and Aging N/A
6 · The paper itself

Abstract

Alzheimer’s disease (AD) is a priority health problem with a high cost to society and a large consumption of medical and social resources. The management of AD patients is complex and multidisciplinary. Over 90% of patients suffer from concomitant diseases and require personalized therapeutic regimens to reduce adverse drug reactions (ADRs), drug−drug interactions (DDIs), and unnecessary costs. Men and women show substantial differences in their AD-related phenotypes. Genomic, epigenetic, neuroimaging, and biochemical biomarkers are useful for predictive and differential diagnosis. The most frequent concomitant diseases include hypertension (>25%), obesity (>70%), diabetes mellitus type 2 (>25%), hypercholesterolemia (40%), hypertriglyceridemia (20%), metabolic syndrome (20%), hepatobiliary disorder (15%), endocrine/metabolic disorders (>20%), cardiovascular disorder (40%), cerebrovascular disorder (60−90%), neuropsychiatric disorders (60−90%), and cancer (10%). Over 90% of AD patients require multifactorial treatments with risk of ADRs and DDIs. The implementation of pharmacogenetics in clinical practice can help optimize the limited therapeutic resources available to treat AD and personalize the use of anti-dementia drugs, in combination with other medications, for the treatment of concomitant disorders.

Indexed as

Alzheimer’s diseaseanti-dementia drugsbiomarkerscerebrovascular genomicsconcomitant disordersneurodegenerative genomicspathogenic genespharmacogenomicsphenotype-modifying treatments

Identifiers

PMID35330211
PMCPMC8951963
OpenAlexW4220771117

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.