Evidence map›Paper›PMID 40195962›Full record

ReviewDementia & neuropsychologia2025

Intranasal insulin in Alzheimer disease (diabetes

Luís Jesuíno de Oliveira Andrade, Gabriela Matos, Luís Matos de Oliveira

Abstract readReview
In one paragraph

Review in Dementia & neuropsychologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors.

Luís Jesuíno de Oliveira AndradeUniversidade Estadual de Santa Cruz, Departamento de Saúde, Ilhéus BA, Brazil.ORCID https://orcid.org/0000-0002-7714-0330
Gabriela MatosCentro Universitário UniFTC, Faculdade de Medicina, Salvador BA, Brazil.ORCID https://orcid.org/0000-0002-8042-0261
Luís Matos de OliveiraEscola Bahiana de Medicina e Saúde Pública, Salvador BA, Brazil.ORCID https://orcid.org/0000-0003-4854-6910

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer disease (AD) is a neurodegenerative disorder. Evidence suggests that AD shares pathophysiological similarities with type 2 diabetes. Intranasal insulin (INI) has emerged as a potential therapeutic approach for AD by directly targeting the brain and modulating insulin signaling pathways. Objective: To evaluate the efficacy and safety of INI therapy for AD through a systematic review and meta-analysis of randomized controlled trials. Methods: A search of electronic databases, including PubMed, Web of Science, Scopus, and Embase, was conducted to identify relevant studies published up to June 2024. Inclusion criteria encompassed peer-reviewed original research articles focused on humans, investigating the therapeutic effects of INI administration on cognitive impairment associated with AD, and reporting quantitative data on cognitive outcomes, biomarkers, or pathological markers relevant to AD. A meta-analysis was conducted to quantitatively synthesize the effects of INI on cognitive outcomes. Results: A total of 647 articles were identified, and eight studies met the inclusion criteria. The overall odds ratio was 3.75 (95%CI 1.49-9.40). The test for overall effect showed a statistically significant difference (p<0.05). However, the I Conclusion: While the current data is not yet conclusive enough to definitively establish INI as a standard treatment for AD, the evidence supporting its safety, efficacy, and reduced risk of systemic side effects suggests potential cognitive benefits for improving global cognition in patients with AD.

Indexed as

Administration IntranasalAlzheimer DiseaseInsulinMeta-AnalysisSystematic Review

Identifiers

PMID40195962
PMCPMC11975293

What OpenQuestion holds

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Registered trials

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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.