Evidence map›Paper›PMID 39595846›Full record

ReviewBrain sciences2024

On the Therapeutic Use of Monoclonal Antibodies Against Amyloid Plaques in Older Adults with Down Syndrome: A Narrative Review and Perspective.

Alberto C S Costa

Abstract readReview
In one paragraph

Review in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Use of anti-amyloid-β monoclonal antibodies in persons with Down syndrome Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  3. 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

1 author.

Alberto C S CostaDepartment of Psychiatry, Case Western Reserve University, Cleveland, OH 44106-6090, USA.ORCID 0000-0002-7855-1190

Funding

The Alzheimer's Clinical Trial Consortium - Down Syndrome Network (ACTC- DSN)U24AG057437 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul S. Aisen, RONALD C PETERSEN · 2018 to 2026
$198.4M
Down Syndrome Memantine Follow-up Study: EEG Data Analysis and Data Sharing with the Research CommunityR03AG086928 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI COSTA, ALBERTO C S · 2024 to 2024
$322k
Awakening Angels Foundation N/ACenter for Neurodegenerative Disorders (CENDIVE) at University Hospitals Cleveland N/ANIA NIH HHS R03 AG086928NIA NIH HHS U24 AG057437NIH HHS 3U24AG057437NIH HHS R03AG086928
6 · The paper itself

Abstract

Down syndrome (DS) is a genetic disorder caused by an extra copy of chromosome 21 (trisomy 21 or T21) and is associated with an increased risk of early-onset Alzheimer's disease (AD), also known as DS-associated AD (DSAD). Individuals with DS typically develop amyloid neuropathology in their late-thirties to early-forties and the mean age of onset of clinical dementia is approximately 55 years. Recent advances in AD clinical research have focused on monoclonal antibodies (mAbs) targeting amyloid-β (Aβ) plaques as a potential therapeutic approach. Therefore, there has been guarded enthusiasm about using anti-amyloid mAbs in the prevention/treatment of DSAD. This narrative review and perspective explores the current understanding of amyloid pathology in AD and DSAD, the rationale for using anti-amyloid mAbs in the treatment of DSAD, and the challenges and opportunities for research toward the application of this therapeutic strategy to older adults with DS.

Indexed as

Alzheimer’s diseaseamyloid hypothesisanti-amyloid monoclonal antibodiesbioethicsDown syndromeintellectual disabilitytrisomy 21

Identifiers

PMID39595846
PMCPMC11591668

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.