Evidence map›Paper›PMID 41145339›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Identifying synergistic combinations of repurposed treatments for Alzheimer's Disease.

Clive Ballard, Janet Sultana, Pat Doherty, Gareth Williams, Anne Corbett

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Clive BallardCollege of Medicine & Health, Faculty of Health and Life Sciences, University of Exeter, Exeter EX1 2LU, UK. Electronic address: c.ballard@exeter.ac.uk.
Janet SultanaCollege of Medicine & Health, Faculty of Health and Life Sciences, University of Exeter, Exeter EX1 2LU, UK.
Pat DohertyWolfson Sensory, Pain and Regeneration Centre, King's College London, London SW7 2AZ, UK.
Gareth WilliamsWolfson Sensory, Pain and Regeneration Centre, King's College London, London SW7 2AZ, UK.
Anne CorbettCollege of Medicine & Health, Faculty of Health and Life Sciences, University of Exeter, Exeter EX1 2LU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is considerable opportunity to fast-track novel treatments for Alzheimer's Disease (AD) through repurposing of existing licensed medications as a way of complementing ongoing drug discovery efforts. Given the complex interplay between AD neuropathological mechanisms, there is also a strong rationale that treatment benefits may be enhanced by examining combinations of treatments to identify potential synergies that would address multiple disease-modifying mechanisms. A Delphi consensus programme combined with a pragmatic analysis of primary care data has identified a series of individual and combined therapies that warrant further investigation in pre-clinical and clinical trials. These include treatments which target well-established neurodegeneration pathways and more explorative agents, including hormonal and anti-infective agents, which align to emerging hypotheses relating to endocrine and immune pathways in AD. Whilst caution is critical when considering combined therapy due to the risks of interaction and polypharmacy, this study provides valuable indications of potential synergistic drug pairs that warrant further investigation.

Indexed as

Alzheimer DiseaseDrug RepositioningDelphi TechniqueDrug SynergismDrug Therapy, CombinationHumansAlzheimer’sCombinedRepurposingTreatment

Identifiers

PMID41145339
PMCPMC12627884

What Socratic 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 Socratic graph.