Evidence map›Paper›PMID 40237866›Full record

ArticleJournal of neurology2025

Patient journey and decision processes for anti-amyloid therapy in Alzheimer's disease.

Brant Mittler, Xavier Cambi, Morgan Biskach, Joel Reisman, Ying Wang, Dan Berlowitz, Peter Morin, Donald R Miller, Karla Brandao-Viruet, Sophie J Clare and 5 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. 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.

  1. Article
  2. ATNIVS biomarker heterogeneity in real-world patients receiving lecanemab.The journal of prevention of Alzheimer's disease · 2026
    Article
  3. Article
  4. Review
  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

15 authors.

Brant MittlerUT Health San Antonio, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
Xavier CambiDepartment of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 700 Albany Street, Boston, MA, 02115, USA.
Morgan BiskachDepartment of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 700 Albany Street, Boston, MA, 02115, USA.
Joel ReismanDepartment of Biological Science, Kennedy College of Sciences, University of Massachusetts Lowell, One University Avenue, Lowell, MA, 01854, USA.
Ying WangResearch Service, VA Bedford Healthcare System, 200 Springs Road, Bedford, MA, 01730, USA.
Dan BerlowitzDepartment of Public Health, Dugan Hall, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, 883 Broadway Street, Lowell, MA, 01854, USA.
Peter MorinDepartment of Neurology, Boston University Chobanian & Avedisian School of Medicine, 725 Albany Street, Boston, MA, 02118, USA.
Donald R MillerCenter for Population Health, Department of Biomedical and Nutritional Sciences, University of Massachusetts, 710 Pawtucket Street, Lowell, MA, 01854, USA.
Karla Brandao-ViruetTufts Medical Center, 800 Washington Street, Boston, MA, 02118, USA.
Sophie J ClareDepartment of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 700 Albany Street, Boston, MA, 02115, USA.
Kevin Z XiaFrank H. Netter MD School of Medicine, Quinnipiac University, MNH-338, 370 Bassett Road, North Haven, CT, 06473, USA.
Amir Abbas Tahami MonfaredAlzheimer's Disease and Brain Health, Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA.
Michael IrizarryAlzheimer's Disease and Brain Health, Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA.
Quanwu ZhangAlzheimer's Disease and Brain Health, Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA.
Weiming XiaDepartment of Pharmacology, Physiology and Biophysics, Boston University Chobanian & Avedisian School of Medicine, 700 Albany Street, Boston, MA, 02115, USA. weiming.xia@va.gov.ORCID http://orcid.org/0000-0002-7463-3295

Funding

Big data and small molecules for Alzheimer's diseaseR01AG063913 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Weiming Xia · 2024 to 2026
$4.1M
HSRD VA SDR 02-237NIA NIH HHS R01 AG063913NIH HHS R01AG063913
6 · The paper itself

Abstract

introductionWe utilized the Veterans Affairs Healthcare System administrative database to study the clinical decision-making processes for anti-amyloid therapy (AAT).

methodsPatients with clinical notes mentioning lecanemab were identified (March 2023-June 2024) for manual review and structured database queries.

resultsFrom an initial sample (N = 2499), 1064 patients (55,000 notes) were reviewed manually (mean age 76 years; 7.3% women; 9.2% Black; 3.9% Hispanic). The AAT group (n = 56) had lower rates of common comorbidities, except post-traumatic stress disorder, than patients excluded from AAT (n = 528). The documented notes including "Lack of patient interest/resource constraints" (24.6% vs 3.6%), "anticoagulant use" (23.1% vs 10.7%), and "advanced AD" (18.6% vs 0), supplied partial explanations on exclusion vs inclusion. DISCUSSION: Only 5.3% of patients reached the point of care of being a candidate, scheduled for, or receiving AAT infusion. Patient preference and clinician discretion, especially regarding modifiable factors (e.g., medication regimens), appreciably influence the patient journey to AAT.

Indexed as

Alzheimer DiseaseClinical Decision-MakingPatient PreferenceAgedAged, 80 and overFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsAlzheimer’s diseaseAnti-amyloid therapyElectronic health recordsLecanemabMild cognitive impairment

Identifiers

PMID40237866
PMCPMC12003442

What OpenQuestion holds

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LicenceCC BY
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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.