Evidence map›Paper›PMID 41865008›Full record

ArticleAlzheimer's research & therapy2026

Eligibility for amyloid targeting therapies among primary care patients with cognitive symptoms.

Beata Borgström Bolmsjö, Josef Barbosa Djärf, Danielle van Westen, Suzanne E Schindler, Ayesha Fawad, Lyduine Collij, Ruben Smith, Niklas Mattsson-Carlgren, Erik Stomrud, Pontus Tideman and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06120361 (The Swedish BioFINDER - Primary Care Study), which is not on this 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.

NCT06120361 recruitingnot on this map

The Swedish BioFINDER - Primary Care Study

TypeobservationalSponsorSkane University HospitalRan2020 to 2028Enrolled1,200ConditionsMild Dementia, Mild Cognitive Impairment, SCD, Alzheimer DiseaseArmsPlasma APS 2 score, Plasma p-tau217/np-tau217, Plasma p-tau217, Plasma neurofilament light (NfL), Plasma Ab42/Ab40
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

12 authors.

Beata Borgström BolmsjöCenter for Primary Health Care Research, Department of Clinical Sciences in Malmo, Lund University, Malmo, Sweden. beata.borgstrom-bolmsjo@med.lu.se.
Josef Barbosa DjärfMemory Clinic, Skane University Hospital, Malmo, Sweden.
Danielle van WestenDiagnostic Radiology, Institution for Clinical Sciences, Lund University, Lund, Sweden.
Suzanne E SchindlerDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Ayesha FawadClinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmo, Sweden.
Lyduine CollijClinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmo, Sweden.
Ruben SmithMemory Clinic, Skane University Hospital, Malmo, Sweden.
Niklas Mattsson-CarlgrenMemory Clinic, Skane University Hospital, Malmo, Sweden.
Erik StomrudMemory Clinic, Skane University Hospital, Malmo, Sweden.
Pontus TidemanMemory Clinic, Skane University Hospital, Malmo, Sweden.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmo, Sweden.
Sebastian PalmqvistMemory Clinic, Skane University Hospital, Malmo, Sweden.

Funding

Prospective validation and implementation of high-performing blood biomarkers and digital cognitive tests for detection of Alzheimer's disease in specialist memory clinic and primary care settingsR01AG083740 · NIA · LUNDS UNIVERSITET · PI Sebastian Palmqvist · 2023 to 2026
$1.9M
NIA NIH HHS R01 AG083740
6 · The paper itself

Abstract

backgroundAlzheimer’s disease (AD) is the most common cause of dementia and a growing healthcare challenge. Amyloid-targeting therapies (ATT) may slow progression, but implementation is limited by logistical and economic barriers. As primary care is the first contact for most patients with cognitive concerns, quantifying treatment eligibility in this setting is essential. The purpose of this study was to estimate the proportion of primary care patients presenting with cognitive symptoms who are eligible for ATT.

methodsThis cohort study included patients presenting with cognitive symptoms in primary care across the region Skåne, in southern Sweden, recruited between January 2020 and April 2025. Stepwise exclusion criteria based on clinical diagnosis, comorbidities, and treatment contraindications were applied, in alignment with appropriate use recommendations for lecanemab and donanemab, respectively. Eligibility was further refined using CSF biomarkers (Aβ42/40 ratio), cognitive performance, and MRI findings.

resultsIn a full diagnostic work-up of 607 patients with sequential exclusions, 86 patients (14.2%) and 78 patients (12.8%) ultimately met the eligibility criteria for lecanemab and donanemab, respectively. Due to comorbidities, medication use, and age/BMI, around 1/3 of the original population was excluded. Most ineligible patients met more than one exclusion criterion. The eligible population was 63% female, mean age 77 years. Around 65% of the individuals had mild cognitive impairment (MCI), and 35% mild dementia.

conclusionsAbout 13-14% of primary care patients evaluated for cognitive complaints were eligible for ATT. Compared with clinical trials, the eligible population was older and consisted of more women.

trial registrationBioFINDERPrimary Care study (NCT06120361, Registration date 2 November 2023 https//biofinder.se).

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesCognitive DysfunctionAgedAged, 80 and overBiomarkersCohort StudiesFemaleHumansMagnetic Resonance ImagingMalePeptide FragmentsPrimary Health CareSwedenAmyloid beta-PeptidesBiomarkersPeptide FragmentsAlzheimer’s diseaseAnti-amyloid therapyEligibilityPrimary care

Identifiers

PMID41865008
PMCPMC13064071

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Registered trials

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.