Evidence map›Paper›PMID 36817126›Full record

ReviewFrontiers in pharmacology2023

Advances in Alzheimer's disease's pharmacological treatment.

Carlos Elias Conti Filho, Lairane Bridi Loss, Clairton Marcolongo-Pereira, Joamyr Victor Rossoni Junior, Rafael Mazioli Barcelos, Orlando Chiarelli-Neto, Bruno Spalenza da Silva, Roberta Passamani Ambrosio, Fernanda Cristina de Abreu Quintela Castro, Sarah Fernandes Teixeira and 1 more

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07673263 (Effect of 3D Kinect Games With Google Cardboard on Motor Control, Cognition, and Quality of Life in Mild to Moderate Alzheimer's Patient), which is not on this map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
20.3field-weighted citation impact, top 1% 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.

NCT07673263 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of 3D Kinect Games With Google Cardboard on Motor Control, Cognition, and Quality of Life in Mild to Moderate Alzheimer's Patient

TypeinterventionalSponsorZiauddin UniversityRan2026 to 2026Enrolled38ConditionsAlzheimer s DiseaseArms3D Kinect based game, Conventional therapy group
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.The journal of prevention of Alzheimer's disease · 2025
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
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

11 authors at 1 institution in 1 country.

Carlos Elias Conti FilhoFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Lairane Bridi LossFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Clairton Marcolongo-PereiraFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Joamyr Victor Rossoni JuniorFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Rafael Mazioli BarcelosFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Orlando Chiarelli-NetoFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Bruno Spalenza da SilvaFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Roberta Passamani AmbrosioFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Fernanda Cristina de Abreu Quintela CastroFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Sarah Fernandes TeixeiraFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Nathana Jamille MezzomoFaculty of Medicine, University Center of Espirito Santo, Colatina, Brazil.
Centro Universitário do Espírito Santo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common type of dementia in the elderly. Several hypotheses emerged from AD pathophysiological mechanisms. However, no neuronal protective or regenerative drug is available nowadays. Researchers still work in drug development and are finding new molecular targets to treat AD. Therefore, this study aimed to summarize main advances in AD pharmacological therapy. Clinical trials registered in the National Library of Medicine database were selected and analyzed accordingly to molecular targets, therapeutic effects, and safety profile. The most common outcome was the lack of efficacy. Only seven trials concluded that tested drugs were safe and induced any kind of therapeutic improvement. Three works showed therapeutic effects followed by toxicity. In addition to aducanumab recent FDA approval, antibodies against amyloid-β (Aβ) showed no noteworthy results. 5-HT6 antagonists, tau inhibitors and nicotinic agonists' data were discouraging. However, anti-Aβ vaccine, BACE inhibitor and anti-neuroinflammation drugs showed promising results.

Indexed as

Alzheimer’s diseasedrug developmentmolecular targetnew drugspharmacological treatment

Identifiers

PMID36817126
PMCPMC9933512
OpenAlexW4318050013

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.