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Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Clinical Manifestations
Gaia Chiara Santi1, Eleonora Catricalà2, Stephanie Kwan3
1IRCCS Mondino Foundation, Pavia, Italy.
Background:
Speech and language profile of Primary Progressive Aphasia (PPA) has primarily been described based on English-speaking cohorts. However, the potential influence of language typology in the clinical manifestation of PPA remains unclear. Using a data-driven approach, we aim to examine the speech and language profiles of English, Chinese and Italian PPA and identify cross-linguistic similarities and differences.
Method:
The study included 90 PPA (30 for each language, 10 for each variant). Speech samples, from the Picnic picture description, underwent CLAN analysis to characterize phonetic-phonological, lexico-semantic, morpho-syntactic, and discourse-pragmatic domains. Community detection analysis (CDA) was performed for each language separately, including speech, language, and demographic features. Emerged profiles were compared across languages.
Result:
English-CDA resulted in 3 clusters (modularity:0.37; classified:100%). Cluster 1, including mainly svPPA, was characterized by reduced nouns production and compensatory strategies, including increased adverbs and pronouns production. Cluster 2, including mainly nfvPPA, was characterized by speech distortions. Cluster 3, predominated by lvPPA, presented with an anomic profile. Chinese-CDA resulted in 5 clusters (Modularity:0.48; classified:100%). Cluster 1, including mainly svPPA, was characterized by reduced nouns production. Cluster 2 and 3 included mainly nfvPPA, with the former characterized by tone errors and distortions, the latter by a tendency to agrammatism. Cluster 4 and 5 included mainly lvPPA, with the former presenting anomic production and compensation strategies, the latter an anomic and reduced production. Italian-CDA resulted in 4 main clusters (Modularity:0.34; classified:93%). Cluster 1, including mainly svPPA, was characterized by a reduced noun production and compensatory strategies. Cluster 2, including mainly nfvPPA, was characterized by phonological and morphological errors. Cluster 3 and 4 included mainly lvPPA, with the former presenting phonological disfunctions, the latter an increased words repetition.
Conclusion:
CDA results suggest a consistent semantic cluster across languages. Notably, nfvPPA and lvPPA patients displayed significant heterogeneity in their clustering and exhibited diverse speech and language features. These findings underscore the importance of language diversity in PPA research and highlight the role of language-specific features in PPA clinical characterization (i.e., tone for Chinese, morphological errors for Italian). These findings advocate for the need for new diagnostic criteria in other languages.
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