Evidence map›Paper›PMID 40242567›Full record

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

Generating real-world evidence in early Alzheimer's disease: Considerations for applying the target trial emulation framework to study the safety of anti-amyloid therapies.

Xiaojuan Li, Sonal Singh, Bahareh Rasouli, Jennifer Lyons, Noelle M Cocoros, Richard Platt, Ivan Abi-Elias, Jerry H Gurwitz

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 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.

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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

8 authors.

Xiaojuan LiDepartment of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston Massachusetts USA.ORCID https://orcid.org/0000-0002-1305-0846
Sonal SinghDivision of Health Systems Science UMass Chan Medical School Worcester Massachusetts USA.
Bahareh RasouliDepartment of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston Massachusetts USA.
Jennifer LyonsDepartment of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston Massachusetts USA.
Noelle M CocorosDepartment of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston Massachusetts USA.
Richard PlattDepartment of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston Massachusetts USA.
Ivan Abi-EliasDivision of Health Systems Science UMass Chan Medical School Worcester Massachusetts USA.
Jerry H GurwitzDivision of Geriatric Medicine UMass Chan Medical School Worcester Massachusetts USA.

Funding

NIH Health Care Systems Research Collaboratory-Coordinating Center (U24)U24AT009676 · NCCIH · DUKE UNIVERSITY · PI LESLEY H CURTIS, Adrian Hernandez · 2017 to 2026
$21.5M
Preparing For What Is Next With Aducanumab In Real World SettingsR33AG057806 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Christopher Barrett Bowling, Ana Roman Quinones · 2018 to 2026
$9.0M
Research Continuity and Retention Supplement: Optimizing care for older adults in the new treatment era for type 2 diabetes and heart failureK01AG073651 · NIA · HARVARD PILGRIM HEALTH CARE, INC. · PI Xiaojuan Li · 2022 to 2026
$700k
Novel causal inference methods to inform clinical decision on when to discontinue symptomatic treatment for patients with dementiaR03AG070661 · NIA · HARVARD PILGRIM HEALTH CARE, INC. · PI LI, XIAOJUAN · 2021 to 2022
$332k
NCCIH NIH HHS U24 AT009676NIA NIH HHS K01 AG073651NIA NIH HHS R03 AG070661NIA NIH HHS R33 AG057806
6 · The paper itself

Abstract

Anti-amyloid beta monoclonal antibodies (anti-Aβ mAbs) have received approval from the US Food and Drug Administration for the treatment of patients with mild cognitive impairment or mild dementia due to Alzheimer's disease (collectively known as early AD) based on evidence from clinical trials. However, whether findings from these trials are generalizable to the real world is uncertain. We need reliable evidence on the real-world safety of these treatments to inform decision making for clinicians, patients, and caregivers. Using lecanemab as an exemplar, we outline the key considerations in designing and implementing an observational study on safety and utilization outcomes using established administrative healthcare claims data sources with the target trial emulation framework. The target trial emulation framework is a rigorous causal inference framework that minimizes common biases in observational studies. The approach proposed here can be applied to evaluation of additional mAbs as they become available. Highlights: Little is known about real-world safety of anti-amyloid beta monoclonal antibodies for early Alzheimer's disease.Existing real-world data can support studies of their safety and utilization outcomes.Target trial emulation can guide the design of these studies while minimizing bias.We provide key design and analytical considerations for future studies.

Indexed as

Alzheimer's diseaseanti‐amyloid beta monoclonal antibodiesreal‐world datareal‐world evidencetarget trial emulation

Identifiers

PMID40242567
PMCPMC12000246

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.