Evidence map›Paper›PMID 39441361›Full record

ArticleWiener klinische Wochenschrift2025

Monoclonal anti-amyloid antibody treatment: the epidemiological profile of the target patients in Austria and the status of treatment-eligible patients registered at an outpatient memory clinic.

Seungjune Lee, Elisabeth Stögmann

Abstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Seungjune LeeDepartment of Neurology, Medical University of Vienna, Waehringer Gürtel 18-20, 1090, Vienna, Austria.
Elisabeth StögmannDepartment of Neurology, Medical University of Vienna, Waehringer Gürtel 18-20, 1090, Vienna, Austria. elisabeth.stoegmann@meduniwien.ac.at.ORCID http://orcid.org/0000-0003-4688-8482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of monoclonal anti-amyloid antibodies, a disease-modifying treatment for Alzheimer's disease (AD), has raised the necessity to identify the epidemiological profile of the possible target patients who would benefit from such therapy. These are patients in the early stages of AD with biomarker-confirmed brain amyloid positivity. In this study, the epidemiological profile of possible target patients in Austria and Vienna was estimated. The number of patients in the stage of amyloid-beta (Aβ)-positive prodromal AD in Austria and Vienna are 193,500 and 34,700 patients, respectively. The expected patient demand for the upcoming therapy in Austria and Vienna are 61,200 and 11,100 patients, respectively.In the memory clinic of the Vienna General Hospital, the number of treatment-eligible patients for an upcoming anti-amyloid antibody was on average 52.8 patients per year, which is about 10% of the total number of patients visiting the memory clinic every year. Several challenges to provide therapy to the general population include expanding the MCI screening in primary care and increasing the capacity of the healthcare system for biomarker testing, infusion delivery, and ARIA management. The study primarily addresses the status quo of identifying patients on memory clinics through cognitive screening and biomarker testing.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAntibodies, MonoclonalEligibility DeterminationRegistriesAgedAged, 80 and overAmbulatory Care FacilitiesAustriaFemaleHumansMaleMiddle AgedPrevalenceTreatment OutcomeAmyloid beta-PeptidesAntibodies, MonoclonalAlzheimerDementiaEpidemiologyMonoclonal antibodyScreening

Identifiers

PMID39441361
PMCPMC11926036

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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.