Evidence map›Paper›PMID 40954312›Full record

ArticleNature medicine2025

Primary care detection of Alzheimer's disease using a self-administered digital cognitive test and blood biomarkers.

Pontus Tideman, Linda Karlsson, Olof Strandberg, Susanna Calling, Ruben Smith, Patrik Midlöv, Philip B Verghese, Joel B Braunstein, Niklas Mattsson-Carlgren, Erik Stomrud and 2 more

Abstract read
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Digital cognitive phenotyping enhances risk stratification in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Combining p-tau217 and digital cognitive testing to predict cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Monoclonal antibodies for early Alzheimer disease: a long road to discovery and marketing approval, a short timeline for health systems to organise services.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  19. Article
  20. 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

12 authors.

Pontus Tideman *Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden. pontus.tideman@med.lu.se.ORCID http://orcid.org/0000-0002-9620-7115
Linda Karlsson *Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-0630-772X
Olof StrandbergClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Susanna CallingCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Ruben SmithClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-7147-0112
Patrik MidlövCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.ORCID http://orcid.org/0000-0002-5871-8731
Philip B VergheseC2N Diagnostics LLC, St Louis, MO, USA.ORCID http://orcid.org/0000-0003-4793-564X
Joel B BraunsteinC2N Diagnostics LLC, St Louis, MO, USA.
Niklas Mattsson-CarlgrenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-8885-7724
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Sebastian PalmqvistClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-9267-1930
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden. oskar.hansson@med.lu.se.ORCID http://orcid.org/0000-0001-8467-7286

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

After the clinical implementation of amyloid-β-targeting therapies for people with cognitive impairment due to Alzheimer's disease (AD), there is an urgent need to efficiently identify this patient population in primary care. Therefore, we created a brief and self-administered digital cognitive test battery (BioCog). Based on its sub-scores, a logistic regression model was developed in a secondary care cohort (n = 223) and then evaluated in an independent primary care cohort comprising 19 primary care centers (n = 403). In primary care, BioCog had an accuracy of 85% when using a single cutoff to define cognitive impairment, which was significantly better than the assessment of primary care physicians (accuracy 73%). The accuracy increased to 90% when using a two-cutoff approach. BioCog had significantly higher accuracy than standard paper-and-pencil tests (that is, Mini-Mental State Examination, Montreal Cognitive Assessment, Mini-Cog) and another digital cognitive test. Furthermore, BioCog combined with a blood test could detect clinical, biomarker-verified AD with an accuracy of 90% (one cutoff), significantly better than standard-of-care (accuracy 70%) or when using the blood test alone (accuracy 80%). In conclusion, this proof-of-concept study shows that a brief, self-administered digital cognitive test battery can detect cognitive impairment and, when combined with a blood test, accurately identify clinical AD in primary care.

Indexed as

Alzheimer DiseaseBiomarkersAgedAged, 80 and overAmyloid beta-PeptidesCognitionCognitive DysfunctionCohort StudiesFemaleHumansMaleMental Status and Dementia TestsMiddle AgedNeuropsychological TestsPrimary Health CareAmyloid beta-PeptidesBiomarkers

Identifiers

PMID40954312
PMCPMC12705462

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.