Evidence map›Paper›PMID 40707785›Full record

SynthesisMolecular psychiatry2025

Systemic medications and dementia risk: a systematic umbrella review.

Clara Belessiotis-Richards, Joseph Hayes, Ying Feng Yap, Shivangi Talwar, Michelle Eskinazi, Wenqianglong Li, Harry Ward, Pilar A Letrondo, Madeleine Morelli-Batters, Andrea Bruun and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

13 authors.

Clara Belessiotis-RichardsDivision of Psychiatry, University College London, London, United Kingdom. c.belessiotis@ucl.ac.uk.ORCID http://orcid.org/0000-0001-6900-2678
Joseph HayesDivision of Psychiatry, University College London, London, United Kingdom.
Ying Feng YapUniversity College London Hospital NHS Trust, London, United Kingdom.
Shivangi TalwarDivision of Psychiatry, University College London, London, United Kingdom.
Michelle EskinaziDivision of Psychiatry, University College London, London, United Kingdom.
Wenqianglong LiDivision of Psychiatry, University College London, London, United Kingdom.
Harry WardCentre for Experimental Medicine and Rheumatology, Queen Mary University of London, London, United Kingdom.
Pilar A LetrondoDivision of Psychiatry, University College London, London, United Kingdom.
Madeleine Morelli-BattersUniversity College London Hospital NHS Trust, London, United Kingdom.
Andrea BruunDivision of Psychiatry, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-9620-0290
Rongyu LinImperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom.
Talen WrightDivision of Psychiatry, University College London, London, United Kingdom.
Naaheed MukadamDivision of Psychiatry, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-8635-9521

Funding

Alzheimer's Society SF-18b-001DH | National Institute for Health Research (NIHR) N/ADH | National Institute for Health Research (NIHR) North Thames Applied Research CollaborationUniversity College London Hospitals NHS Foundation Trust (UCLH) n/aWellcome Trust 102645
6 · The paper itself

Abstract

backgroundPrevious meta-analyses have found that systemic medications may modulate dementia risk. We aimed to provide an overview of this evidence to guide clinical practice and future research.

methodsWe conducted an umbrella review of meta-analyses (PROSPERO CRD42021226307), searching databases from inception to 15th April 2024. Only peer-reviewed meta-analyses examining dementia risk and systemic medications in humans were included. Two authors independently screened studies for inclusion, extracted study data and assessed quality of meta-analyses using the AMSTAR-2 tool. Three authors independently rated the certainty of evidence for each drug using the GRADE framework.

results68 meta-analyses were included, across 11 drug categories. Across meta-analyses, available data were primarily observational. Confounding by indication and potential reverse causality were important limitations. Randomised-controlled data were rare but supported an association between treatment of hypertension and reduced dementia incidence. Overall, we found moderate certainty evidence of reduced risk of dementia associated with anti-hypertensives, statins, sodium-glucose transport protein 2 (SGLT2) inhibitors, and glucagon-like peptide-1 receptor agonists (GLP-1 RAs), and moderate certainty of increased risk with anticholinergics. DISCUSSION: Currently, there is insufficient evidence to advise repurposing any systemic drugs with the primary aim of reducing dementia risk. On the basis of our findings, we recommend proactive treatment of hypertension to reduce risk of all-cause dementia. Our findings did not find a difference between antihypertensive drug classes, but dementia risk was associated with blood pressure reading. In addition, we advise avoidance of anticholinergic drugs in cognitive impairment, with assessment of anticholinergic burden and consideration of alternatives during routine clinical contacts.

Indexed as

DementiaAntihypertensive AgentsGlucagon-Like Peptide-1 Receptor AgonistsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypertensionMeta-Analysis as TopicRisk FactorsSodium-Glucose Transporter 2 InhibitorsAntihypertensive AgentsGlucagon-Like Peptide-1 Receptor AgonistsHydroxymethylglutaryl-CoA Reductase InhibitorsSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID40707785
PMCPMC12532590

What OpenQuestion holds

Texttitle and abstract
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.