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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical Manifestations.

Florentina Morello Garcia1, Loana De Los Santos2, Carolina Agata Ardohain Cristalli Ii2

  • 1Institute of Neurosciences (INEU), Fleni-CONICET, Buenos Aires, Buenos Aires, Argentina.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Diagnosing primary progressive aphasia (PPA) is challenging, especially in low-resource settings. This roadmap streamlines PPA diagnosis using integrated clinical, imaging, and biomarker data, adapting to local capabilities.

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Area of Science:

  • Neurology
  • Neuroscience
  • Linguistics

Background:

  • Diagnosing primary progressive aphasia (PPA) presents significant challenges, requiring precise identification of language impairment and variant classification.
  • Socio-economic factors in low- and middle-income countries (LMICs) exacerbate diagnostic difficulties for PPA.
  • A novel PPA diagnostic roadmap was developed at Fleni (Argentina) to overcome these barriers.

Purpose of the Study:

  • To present a PPA diagnostic roadmap tailored for resource-limited settings.
  • To integrate clinical, neuropsychological, neuroimaging, and biomarker data for accurate PPA diagnosis and classification.
  • To streamline diagnostic processes and reduce delays in PPA assessment.

Main Methods:

  • The roadmap integrates clinical experience and literature, adapting Gorno-Tempini et al. (2011) criteria.
  • It involves a multi-stage approach: initial neurological assessment, laboratory tests, cognitive MRI, and neuropsychological evaluation (Stages 1 & 2).
  • Specialized language assessments (Stage 3) and advanced biomarkers/genetic testing (Stage 4) are incorporated for variant classification.

Main Results:

  • Stages 1 and 2 are feasible in LMICs, utilizing accessible laboratory tests, MRI, and Spanish-language neuropsychological assessments.
  • Baseline PPA diagnosis and imaging confirmation are achievable through initial stages.
  • Specific PPA variant classification (Stages 3 & 4) faces limitations due to access to language specialists and high costs of advanced studies.

Conclusions:

  • The Fleni PPA diagnostic roadmap provides a framework to guide professionals in resource-limited regions.
  • It optimizes the diagnostic process by leveraging available resources while acknowledging limitations in advanced diagnostic capabilities.
  • The roadmap aims to improve diagnostic accuracy and efficiency for PPA in diverse healthcare settings.