Evidence map›Paper›PMID 42340145›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

A dynamic microsimulation method for estimating dementia costs in the United States.

Bryan Tysinger, Hanke Heun-Johnson, Duncan Leaf, Johanna Thunell, Dana Goldman, Julie Zissimopoulos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. 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
–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

2 citing papers in PubMed.

  1. The value of timely treatment with anti-amyloid therapy for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. The cost of dementia in the United States in 2026.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    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

6 authors.

Bryan TysingerLeonard D. Schaeffer Institute for Public Policy and Government Service, University of Southern California, Los Angeles, California, USA.
Hanke Heun-JohnsonLeonard D. Schaeffer Institute for Public Policy and Government Service, University of Southern California, Los Angeles, California, USA.
Duncan LeafLeonard D. Schaeffer Institute for Public Policy and Government Service, University of Southern California, Los Angeles, California, USA.
Johanna ThunellLeonard D. Schaeffer Institute for Public Policy and Government Service, University of Southern California, Los Angeles, California, USA.
Dana GoldmanLeonard D. Schaeffer Institute for Public Policy and Government Service, University of Southern California, Los Angeles, California, USA.
Julie ZissimopoulosLeonard D. Schaeffer Institute for Public Policy and Government Service, University of Southern California, Los Angeles, California, USA.

Funding

The United States Cost of Dementia Model: Quantifying Current and Future Impacts of Alzheimer’s Disease and Related DementiasU01AG086827 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DANA P GOLDMAN, JULIE M ZISSIMOPOULOS · 2024 to 2026
$4.7M
NIA NIH HHS #U01AG086827NIA NIH HHS U01 AG086827
6 · The paper itself

Abstract

introductionAddressing dementia's substantial economic burden on individuals, families, health systems, governments, and payers, requires integrating national data and advanced analytic methods.

methodsWe described data sources, measures, and simulation methods of a dynamic microsimulation model developed for quantifying dementia costs in the United States and for assessing impact of innovation and change over time. Model internal validation was assessed.

resultsUsing nationally representative Health and Retirement Study data on adults over age 50, Medicare and other national data, we produced estimates of individual-level health and economic outcomes over time. Estimates and simulation enabled measurement of population-level dementia prevalence, medical and long-term care costs, unpaid caregiving valuation, quality-of-life, and earnings for persons living with dementia and care partners. Counterfactual scenarios quantified dementia-related quality-of-life and earnings losses. Simulated outcomes aligned with observed data.

conclusionsTransparent methods support replication, extension, and informed use of dementia cost estimates in research and policy.

Indexed as

Cost of IllnessDementiaHealth Care CostsAgedAged, 80 and overCaregiversComputer SimulationFemaleHumansMaleMedicareMiddle AgedQuality of LifeUnited StatesAlzheimer's disease and related dementiascost‐of‐illnesscounterfactual analysisdementiadynamic microsimulationearnings losseseconomic burdenhealth and retirement study (HRS)informal caregivinglong‐term care costsmodel validationnationally representative dataquality‐of‐life

Identifiers

PMID42340145
PMCPMC13292012

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.