Evidence map›Paper›PMID 36251143›Full record

ArticleDrugs & aging2022

Antihypertensive Use and the Risk of Alzheimer's Disease and Related Dementias among Older Adults in the USA.

Xi Pan, Donglan Zhang, Ji Haeng Heo, Chanhyun Park, Gang Li, Christine M Dengler-Crish, Yan Li, Yian Gu, Henry N Young, Devin L Lavender and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drugs & aging, 2022. 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
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 9 institutions in 2 countries.

Xi PanDepartment of Sociology, Texas State University, 601 University Drive, San Marcos, Texas, 78666, USA. x_p5@txstate.edu.ORCID 0000-0001-8705-9686
Donglan ZhangDivision of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, 101 Mineola Boulevard, Suite 3-047, Mineola, NY, 11501, USA.
Ji Haeng HeoHealth Outcomes Division, College of Pharmacy, The University of Texas at Austin, College of Pharmacy-Health Outcomes and Pharmacy Practice, 2409 University Avenue, STOP A1930, Austin, TX, 78712-1120, USA.
Chanhyun ParkHealth Outcomes Division, College of Pharmacy, The University of Texas at Austin, College of Pharmacy-Health Outcomes and Pharmacy Practice, 2409 University Avenue, STOP A1930, Austin, TX, 78712-1120, USA.
Gang LiHuazhong University of Science and Technology, Wuhan, China.
Christine M Dengler-CrishDepartment of Pharmaceutical Sciences, Northeast Ohio Medical University, 4209 St, OH-44, Rootstown, OH, 44272, USA.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place Box 1077, New York, NY, 10029, USA.
Yian GuDepartment of Neurology, Columbia University Irving Medical Center, 710 W 168th St, New York, NY, 10033, USA.
Henry N YoungDepartment of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, 250 W. Green Street, Athens, GA, 30602, USA.
Devin L LavenderDepartment of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, 250 W. Green Street, Athens, GA, 30602, USA.
Lu ShiDepartment of Public Health Sciences, Clemson University, 507 Edwards Hall, Clemson, SC, 29634, USA.
Austin College · USUniversity of Georgia · USClemson University · USColumbia University Irving Medical Center · USHuazhong University of Science and Technology · CNIcahn School of Medicine at Mount Sinai · USLong Island University · USNortheast Ohio Medical University · USTexas State University · US

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

backgroundEpidemiological evidence on different classes of antihypertensives and risks of Alzheimer's disease and related dementias (ADRD) is inconclusive and limited. This study examined the association between antihypertensive use (including therapy type and antihypertensive class) and ADRD diagnoses among older adults with hypertension.

methodsA retrospective, cross-sectional study was conducted, involving 539 individuals aged ≥ 65 years who used antihypertensives and had ADRD diagnosis selected from 2013 to 2018 Medical Expenditure Panel Survey (MEPS) data. The predictors were therapy type (monotherapy or polytherapy) and class of antihypertensives defined using Multum Lexicon therapeutic classification (with calcium channel blockers [CCBs] as the reference group). Weighted logistic regression was used to assess the relationships of therapy type and class of antihypertensives use with ADRD diagnosis, adjusting for sociodemographic characteristics and health status.

resultsWe found no significant difference between monotherapy and polytherapy on the odds of ADRD diagnosis. As to monotherapy, those who used angiotensin-converting enzyme inhibitors (ACEIs) had significantly lower odds of developing AD compared to those who used CCBs (OR 0.36, 95 % CI 0.13-0.99).

conclusionsFindings of the study suggest the need for evidence-based drug therapy to manage hypertension in later adulthood and warrant further investigation into the mechanism underlying the protective effect of antihypertensives, particularly ACEIs, against the development of AD among older adults with hypertension.

Indexed as

Alzheimer DiseaseHypertensionAgedAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsCalcium Channel BlockersCross-Sectional StudiesHumansRetrospective StudiesUnited StatesAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsCalcium Channel Blockers

Identifiers

PMID36251143
PMCPMC9851394
OpenAlexW4306377683

What OpenQuestion holds

Textmetadata
LicenceTDM
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.