Evidence map›Paper›PMID 37441415›Full record

ArticleJAR life2023

The Comparative Effectiveness of Monotherapy and Combination Therapies: Impact of Angiotensin Receptor Blockers on the Onset of Alzheimer's Disease.

Y Wang, M Li, L E Kazis, W Xia

Open access · diamondAbstract read
In one paragraph

Article in JAR life, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 at 2 institutions in 1 country.

Y WangGeriatric Research Education and Clinical Center, Bedford VA Healthcare System, Bedford, MA, USA.
M LiDepartment of Mathematical Sciences, Bentley University, Waltham, MA, USA.
L E KazisDepartment of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, USA.
W XiaGeriatric Research Education and Clinical Center, Bedford VA Healthcare System, Bedford, MA, USA.
Bentley University · USBoston University · US

Funding

Big data and small molecules for Alzheimer's diseaseR01AG063913 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Weiming Xia · 2024 to 2026
$4.1M
Big data and small molecules for Alzheimer's diseaseRF1AG063913 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GOLDSTEIN, LEE E., XIA, WEIMING · 2019 to 2021
$2.9M
Precision Brain Health Monitoring for Alzheimer's Disease Risk Detection in the Framingham StudyR01AG072654 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, LEE E. GOLDSTEIN · 2025 to 2026
$1.1M
BLRD VA I01 BX004730NIA NIH HHS R01 AG063913NIA NIH HHS R01 AG072654NIA NIH HHS RF1 AG063913
6 · The paper itself

Abstract

Background: The criteria for use of Alzheimer's disease (AD) drug Leqembi recommended by the Department of Veterans Affairs (VA) include patients aged 65 years or older with mild cognitive impairment (MCI) or mild AD. Comorbidities that include hypertension, hyperlipidemia, and diabetes are common among these patients. Objectives: Our objective is to investigate the comparative effectiveness of the administration of one, two, or three medications belonging to the categories of angiotensin receptor blockers (ARBs), angiotensin-converting enzyme inhibitors (ACEIs), Beta Blockers, Statins, and Metformin, for their potential to delay the clinical onset of AD and provide a window of opportunity for therapeutic intervention. Design: Retrospective matched case-control study. Setting: Data from the Department of Veterans Affairs national corporate data warehouse. Participants: We conducted an analysis of 122,351 participants (13,611 with AD and 108,740 without AD), aged 65-89, who began at least one of the prescribed medication classes under investigation between October 1998 and April 2018. Measurements: We utilized Cox proportional hazard regressions, both with and without propensity score weighting, to estimate hazard ratios (HR) associated with the use of different medication combinations for the pre-symptomatic survival time of AD onset. Additionally, we employed a supervised machine learning algorithm (random forest) to assess the relative importance of various therapies in predicting the occurrence of AD. Result: Adding Metformin to the combination of ACEI+Beta Blocker (HR = 0.56, 95% CI (0.41, 0.77)) reduced the risk of AD onset compared to ACEI monotherapy alone (HR = 0.91, (0.85, 0.98)), Beta Blocker monotherapy (HR = 0.86, 95% CI (0.80, 0.92)), or combined ACEI+Beta Blocker (HR=0.85, 95%CI (0.77, 0.94)), when statin prescribers were used as a reference. Prescriptions of ARB alone or the combination of ARB with Beta Blocker showed an association with a lower risk of AD onset. Conclusion: Selected medications for the treatment of multiple chronic conditions among elderly individuals with hypertension, hyperlipidemia, and diabetes as monotherapy or combination therapies lengthen the pre-symptomatic period before the onset of AD.

Indexed as

angiotensin-converting enzyme inhibitorangiotensin II receptor blockerbeta blockercombination therapyDrug repurposingmetforminstatin

Identifiers

PMID37441415
PMCPMC10333644
OpenAlexW4381516433

What OpenQuestion holds

Textmetadata
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.