Evidence map›Paper›PMID 40034522›Full record

ArticleJournal of Alzheimer's disease reports

Heterogeneous treatment effects of BCG vaccine on Alzheimer's disease risk.

Irfan Chaudhuri, Sudeshna Das

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Irfan ChaudhuriDepartment of Epidemiology, Harvard University, Cambridge, MA, USA.ORCID https://orcid.org/0000-0002-0486-0038
Sudeshna DasDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9486-6811

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Sudeshna Das · 2019 to 2026
$36.5M
NIA NIH HHS P30 AG062421
6 · The paper itself

Abstract

Background: This project has investigated the role of the Bacillus Calmette-Guérin (BCG) vaccine as a potential treatment against Alzheimer's disease (AD) and related dementias (ADRD). Objective: To further establish that BCG treatment results in lower risk of ADRD through novel machine learning methods and to analyze the heterogeneity of treatment effects. Methods: This retrospective cohort study was conducted from May 28, 1987 to May 6, 2021, in patients who were 50 years or older and were diagnosed with non-muscle-invasive bladder cancer (NMIBC). Follow-up duration was 15-years. Machine learning algorithms using survival analysis and the random forest algorithm were the primary methods of data analysis. Results: The research has found that on average, NMIBC patients who received BCG treatment had a 6.9% (95% CI: 0.43%, 13.4%) lower risk of developing ADRD compared to those who did not. Heterogeneous treatment effects were also detected for those with a history of mental health disorders and also for those with a history of respiratory diseases. Those with mental health disorders were at a 14.7% (95% CI: 0.6%, 28.9%) reduced risk of ADRD if they received BCG treatment compared to no BCG treatment. Additionally, those taking BCG with respiratory diseases increased risk of ADRD by 13.6% (95% CI: 1.1%, 26.1%) compared to those with no BCG treatment. Conclusions: BCG is associated with a lower risk of ADRD through novel analysis methods and has detected heterogeneity of treatment effects. This presents BCG as a potential low-cost method, with few side-effects, to prevent ADRD.

Indexed as

Alzheimer's diseaseepidemiologyneurologyneuropathologynovel treatmentpharmacologypublic health

Identifiers

PMID40034522
PMCPMC11864241

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.