Evidence map›Paper›PMID 40453977›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Therapeutic time window of disease-modifying therapy for early Alzheimer's disease.

Saki Nakashima, Kenichiro Sato, Yoshiki Niimi, Ryoko Ihara, Kazushi Suzuki, Atsushi Iwata, Tatsushi Toda, Takeshi Iwatsubo, for Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Cost-effectiveness of testing biofluid biomarkers to diagnose Alzheimer's disease: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Pooled it
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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

9 authors.

Saki NakashimaDepartment of Neurology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Kenichiro SatoDepartment of Neuropathology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.ORCID https://orcid.org/0000-0003-4351-9526
Yoshiki NiimiDementia Inclusion and Therapeutics The University of Tokyo Hospital Bunkyo-ku Tokyo Japan.
Ryoko IharaDepartment of Neurology Tokyo Metropolitan Institute for Geriatrics and Gerontology Itabashi-ku Tokyo Japan.
Kazushi SuzukiDivision of Neurology, Internal Medicine National Defense Medical College Tokorozawa-shi Japan.
Atsushi IwataDepartment of Neurology Tokyo Metropolitan Institute for Geriatrics and Gerontology Itabashi-ku Tokyo Japan.
Tatsushi TodaDepartment of Neurology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Takeshi IwatsuboDepartment of Neuropathology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
for Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Introduction: Recently approved disease-modifying therapies (DMT) for early Alzheimer's disease (AD), including lecanemab and donanemab, require patients to meet specific eligibility criteria for treatment. These criteria define a limited "therapeutic time window," after which patients become ineligible as the disease advances. Understanding factors influencing this window may help clinicians optimize patient management and reduce lost treatment opportunities. Methods: We analyzed longitudinal data from two observational cohorts, the National Alzheimer's Coordinating Center (NACC) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). At each visit, individuals were deemed eligible if they were amyloid-positive and had a Mini-Mental State Examination (MMSE) score of 22-30 (lecanemab) or 20-30 (donanemab), plus a Clinical Dementia Rating-Global Score (CDR-GS) of 0.5 or 1. We then applied survival analyses and Cox proportional hazards models to estimate time-to-ineligibility based on baseline cognitive status. Results: Across both datasets, higher baseline CDR-GS and MMSE were associated with a lower risk of becoming ineligible (pooled hazard ratio of 1.601 for CDR-GS of 1 vs. 0.5, and pooled hazard ratio of 0.660 per 1-point increase in MMSE score above the lower limit of eligibility). The estimated 75% survival time for patients with baseline CDR-GS 0.5 was over 12 months, suggesting only 25% would become ineligible within 12 months. For those with CDR-GS 1, the estimated 50% survival time was approximately 12 months, depending on the data, indicating that half might become ineligible within 1 year. Discussion: We quantitatively outlined the duration of the therapeutic time window for early AD patients who qualify for lecanemab or donanemab, which is significantly influenced by baseline CDR-GS and MMSE scores. These findings will support more proactive patient management, ensuring timely evaluations and prioritization of patients at higher risk of ineligibility, particularly where DMT access is limited. Highlights: We examined the "therapeutic time window" eligibility for disease-modifying therapy.Longitudinal data from National Alzheimer's Coordinating Center (NACC) and Alzheimer's Disease Neuroimaging Initiative (ADNI) were used to quantify eligibility duration.Higher Clinical Dementia Rating-Global Score (CDR-GS) or lower Mini-Mental State Examination (MMSE) at baseline were associated with shorter window length.Our results will help optimize the management of the wait time for disease-modifying therapies (DMT) treatment.

Indexed as

ADNIAlzheimer's diseasedisease‐modifying therapyNACCtherapeutic window

Identifiers

PMID40453977
PMCPMC12122261

What OpenQuestion holds

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LicenceCC BY-NC
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.