Evidence map›Paper›PMID 40937178›Full record

ArticleFrontiers in neurology2025

Nilotinib and imatinib: potential candidates for treatment of dementia and Parkinson's disease through national health insurance data.

Jihun Song, Sun Jae Park, Yu-Jin Kim, Sang Min Park

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Jihun SongDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Sun Jae ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Yu-Jin KimCenter for Biomaterials, Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Sang Min ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Real-world evidence on the potential of tyrosine kinase inhibitors (TKIs) for dementia and Parkinson's Disease (PD) is crucial. This observational study aimed to evaluate TKIs, particularly nilotinib and imatinib, as potential therapeutic agents for these conditions. Methods: In this retrospective cohort study, 5,579 cancer patients who were prescribed TKIs (users; ≥ 40 years) within 5 years were used, while propensity score-matched patients without any record of TKIs (never users) served as the reference. An association of TKIs with dementia and PD was assessed by the Fine-Gray Model with adjusted-competitive hazard ratios (aCHRs) and 95% confidence intervals (CIs): [aCHRs (95% CIs; Results: The risk of dementia decreased when all types of TKIs [0.65 (0.48-0.88; <0.01)], imatinib [0.66 (0.48-0.89; <0.01)], and nilotinib [0.46 (0.23-0.93; <0.05)] was used in cancer patients. Additionally, the reduced risk of PD was identified in users of all [0.56 (0.33-0.97; <0.05)] and imatinib [0.55 (0.32-0.96; <0.05)]. When the risk was evaluated according to the number of times for total usage, the aCHRs for PD in the low, middle, and high-frequency groups were 0.46 (0.20-1.02), 0.78 (0.40-1.54), and 0.40 (0.15-1.05), respectively. The risk of dementia was 0.68 (0.46-0.99), 0.57 (0.36-0.90), and 0.71 (0.44-1.17) in order of frequency (from low to high). Conclusion: As an observational study indicated a decreased risk of dementia and PD with long-term TKI use, imatinib and nilotinib may serve as potential therapeutic agents for these conditions, with more evidence from rigorous clinical trials to validate.

Indexed as

dementiadrug repositioningimatinib (gleevec)nilotinibParkinson’s diseasetyrosine kinase inhibitors

Identifiers

PMID40937178
PMCPMC12420838

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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.