Evidence map›Paper›PMID 42148368›Full record

ReviewClinical interventions in aging2026

Therapeutic Landscape of Early Symptomatic Alzheimer's Disease Translated into Everyday Practice for Geriatric Providers.

Melissa J Bailey-Taylor, Paula Morrow, James Hendrix, Katherine E Galluzzi, Golnosh Sharafsaleh

Abstract readReview
In one paragraph

Review in Clinical interventions in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Melissa J Bailey-TaylorEli Lilly and Company, Indianapolis, IN, USA.ORCID 0000-0003-2732-9175
Paula MorrowEli Lilly and Company, Indianapolis, IN, USA.
James HendrixEli Lilly and Company, Indianapolis, IN, USA.
Katherine E GalluzziDepartment of Geriatrics, Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA.ORCID 0009-0008-5367-7409
Golnosh SharafsalehGolden Oak Medicine PLLC, Asheville, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) accounts for 60-80% of all dementia cases. Recent advances in diagnostic biomarkers of early symptomatic AD (ie, mild cognitive impairment and mild dementia due to AD) and amyloid-targeting therapies (ATTs) have the potential to improve outcomes for patients with AD. Two ATTs (donanemab and lecanemab) are currently approved and available for use in the US. Both ATTs can slow disease progression as well as cognitive and functional decline in patients with early symptomatic AD. Treatment with ATTs is associated with specific safety concerns such as amyloid-related imaging abnormalities. Therefore, the benefit versus risk profile needs to be carefully considered when deciding whether to treat a patient with ATTs. This review aims to educate geriatric-trained health professionals regarding advances in the diagnosis and treatment of early symptomatic AD, including the optimal duration of treatment, management of adverse reactions, and patient counseling. It also discusses key considerations in care transitions and patient management in multidisciplinary settings to ensure continuous patient-centered care.

Indexed as

Alzheimer DiseaseEarly DiagnosisEarly Medical InterventionGeriatricsAgedAntibodies, Monoclonal, HumanizedDisease ProgressionHumansMiddle AgedAntibodies, Monoclonal, Humanizeddonanemablecanemabamyloid-targeting therapiesbiomarkersearly symptomatic Alzheimer’s diseasemild cognitive impairmentmild dementia

Identifiers

PMID42148368
PMCPMC13179758

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.