Evidence map›Paper›PMID 37355615›Full record

ArticleAlzheimer's research & therapy2023

Association study between drug prescriptions and Alzheimer's disease claims in a commercial insurance database.

Eric Hu, Tong Shu Li, Nathan E Wineinger, Andrew I Su

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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  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

4 authors.

Eric HuIntegrative Structural and Computational Biology, Scripps Research Institute, 10550 North Torrey Pines Rd, La Jolla, CA, 92037, USA. eric.hu.tr@gmail.com.
Tong Shu LiIntegrative Structural and Computational Biology, Scripps Research Institute, 10550 North Torrey Pines Rd, La Jolla, CA, 92037, USA.
Nathan E WineingerScripps Research Translational Institute, La Jolla, CA, 92037, USA.
Andrew I SuIntegrative Structural and Computational Biology, Scripps Research Institute, 10550 North Torrey Pines Rd, La Jolla, CA, 92037, USA.

Funding

Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
Compound repositioning for Alzheimer's Disease using knowledge graphs, insurance claims data, and gene expression complementarityR01AG066750 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI SU, ANDREW I · 2020 to 2024
$4.4M
NCATS NIH HHS UL1 TR002550NIA NIH HHS R01 AG066750
6 · The paper itself

Abstract

In the ongoing effort to discover treatments for Alzheimer's disease (AD), there has been considerable focus on investigating the use of repurposed drug candidates. Mining of electronic health record data has the potential to identify novel correlated effects between commonly used drugs and AD. In this study, claims from members with commercial health insurance coverage were analyzed to determine the correlation between the use of various drugs on AD incidence and claim frequency. We found that, within the insured population, several medications for psychotic and mental illnesses were associated with higher disease incidence and frequency, while, to a lesser extent, antibiotics and anti-inflammatory drugs were associated with lower AD incidence rates. The observations thus provide a general overview of the prescription and claim relationships between various drug types and Alzheimer's disease, with insights into which drugs have possible implications on resulting AD diagnosis.

Indexed as

Alzheimer DiseaseInsuranceDrug PrescriptionsHumans

Identifiers

PMID37355615
PMCPMC10290352

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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.