Evidence map›Paper›PMID 24802806›Full record

ReviewDrugs2014

Serotonergic therapies for cognitive symptoms in Alzheimer's disease: rationale and current status.

Maria J Ramirez, Mitchell K P Lai, Rosa M Tordera, Paul T Francis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
11.2field-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.

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

35 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
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  4. The impact of polygenic risk for alzheimer's disease on neurotransmitter-related grey matter atrophy in the alzheimer continuum.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

4 authors at 3 institutions in 4 countries.

Maria J RamirezDepartment of Pharmacology and Toxicology, University of Navarra, C/Irunlarrea, 1, 31008, Pamplona, Spain, mariaja@unav.es.
Mitchell K P Lai
Rosa M Tordera
Paul T Francis
Universidad de Navarra · ESKing's College London · GBNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common cause of dementia in elderly people. Research focused on identifying compounds that restore cognition and memory in AD patients is a very active investigational pursuit. Cholinesterase inhibitors for the symptomatic treatment of cognitive decline in AD have been in use for more than a decade but provide only modest benefits in most patients. Preclinical research is constantly providing new information on AD. The involvement of the serotonergic system in higher cognitive processes such as memory and learning has been widely described and extensive serotonergic denervation has been reported in AD. This review aims to explain the rationale behind testing serotonergic therapies for AD in terms of current knowledge about the pathophysiology of the disease. Based on preclinical studies, certain serotonin (5-HT) receptor ligands have been suggested to have the ability to modify or improve memory/cognition, specifically 5-HT receptors acting at 5-HT1A, 5-HT4 and 5-HT6 receptors. This article summarizes the pharmacology, efficacy, safety and tolerability data for the various serotonergic agents currently in clinical development for AD.

Indexed as

Alzheimer DiseaseCognition DisordersHumansLigandsReceptor, Serotonin, 5-HT2ASerotonin Receptor AgonistsLigandsReceptor, Serotonin, 5-HT2ASerotonin Receptor Agonists

Identifiers

PMID24802806
OpenAlexW2073094854

What OpenQuestion holds

Textmetadata
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.