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Enregistrement W4391123303 · doi:10.1016/s1474-4422(23)00414-3

Demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy: an international cohort study and individual participant data meta-analysis

2024· review· en· W4391123303 sur OpenAlexafffund
Marianne Chapleau, Renaud La Joie, Keir Yong, Federica Agosta, Isabel Elaine Allen, Liana G. Apostolova, John Best, Baayla D.C. Boon, Sebastian J. Crutch, Massimo Filippi, Giorgio Fumagalli, Daniela Galimberti, Jonathan Graff‐Radford, Lea T. Grinberg, David J. Irwin, Keith A. Josephs, Patricio Chrem Méndez, Raffaella Migliaccio, Zachary Miller, Maxime Montembeault, Melissa E. Murray, Sára Nemes, Victoria S. Pelak, Daniela Perani, Jeffrey S. Phillips, Yolande A.L. Pijnenburg, Emily Rogalskı, Jonathan M. Schott, William W. Seeley, A. Campbell Sullivan, Salvatore Spina, Jeremy A. Tanner, Jamie M. Walker, Jennifer Whitwell, David A. Wolk, Rik Ossenkoppele, Gil D. Rabinovici, Zeinab Abdi, Samrah Ahmed, Daniel Alcolea, Kieren Allinson, Andrea Arighi, Mircea Balasa, Frederik Barkhof, Katherine D. Brandt, Jared R. Brosch, James R. Burrell, Christopher Butler, Ismael Luis Calandri, Silvia Paola Caminiti, Elisa Canu, María C. Carrillo, Francesca Caso, Min Chu, Nicholas J. Cordato, Ana Sofia Costa, Yue Cui, Bradford C. Dickerson, Dennis W. Dickson, Ranjan Duara, Bruno Dubois, Mark C. Eldaief, Martin Farlow, Chiara Fenoglio, Klaus Fließbach, Maïté Formaglio, Juan Fortea, Nick C. Fox, David Foxe, Caroline Tilikete, Matthew P. Frosch, Douglas Galasko, Oscar Garat, Giulia Giardinieri, Caroline Graff, Colin Groot, Ann Marie Hake, Oskar Hansson, Alison Headley, Micaela A Hernández, Daisy Hochberg, John R. Hodges, Patrick R. Hof, Janice L. Holton, Gabrielle Hromas, Ignacio Illán‐Gala, Zane Jaunmuktane, Donglai Jing, Sonja M. Kagerer, Kensaku Kasuga, Yu Kong, Enikò Kövari, Mégane Lacombe-Thibault, Alberto Lleó, Robert Laforce, Tammaryn Lashley, Gabriel C. Léger, Richard Lévy, Yang Liu, Li Liu, Albert Lladó Plarrumaní, Diane Lucente, Mary M. Machulda, Giuseppe Magnani, Éloi Magnin, Maura Malpetti, Brandy R. Matthews, Scott McGinnis, Mario F. Mendez, Marsel Mesulam, Carolin Miklitz, Nidhi S. Mundada, Peter J. Nestor, Dilek Ocal, Ross W. Paterson, Olivier Piguet, Deepti Putcha, Megan Quimby, Kathrin Reetz, Netaniel Rein, Tamás Révész, Neguine Rezaii, Federico Rodríguez‐Porcel, James B. Rowe, Natalie S. Ryan, Raquel Sánchez‐Valle, Luca Sacchi, Miguel Santos‐Santos, Janet C. Sherman, Erik Stomrud, Pontus Tideman, Takayoshi Tokutake, Giacomo Tondo, Alexandra Touroutoglou, Babak Tousi, Rik Vandenberghe, Wiesje M. van der Flier, Sandra Weıntraub, Bonnie Wong, Liyong Wu, Kexin Xie

Notice bibliographique

RevueThe Lancet Neurology · 2024
Typereview
Langueen
DomaineMedicine
ThématiqueDementia and Cognitive Impairment Research
Établissements canadiensMcGill UniversityDouglas Mental Health University Institute
Organismes subventionnairesNational Institute of Neurological Disorders and StrokeNational Institute on Deafness and Other Communication DisordersNational Institute on AgingNIHR Cambridge Biomedical Research CentreNational Health and Medical Research CouncilEconomic and Social Research CouncilMedical Research CouncilFonds de Recherche du Québec - SantéAvid RadiopharmaceuticalsNational Institutes of HealthGIESKES-STRIJBIS FONDSAlzheimer's SocietyItalfarmacoFondation pour la Recherche sur AlzheimerGenentechMarcus och Amalia Wallenbergs minnesfondCelgeneSkånes universitetssjukhusStichting DioraphteNational Natural Science Foundation of ChinaUK Dementia Research InstituteFondazione Italiana di Ricerca per la Sclerosi Laterale AmiotroficaKnut och Alice Wallenbergs StiftelseAustralian GovernmentLunds UniversitetVetenskapsrådetEisaiWolfson FoundationBrain Research TrustEli Lilly and CompanyHersenstichtingBristol-Myers SquibbTeva Pharmaceutical IndustriesDepartment of Health and Social CareUniversity College LondonBritish Heart FoundationParkinsonfondenMinistero della SaluteMater FoundationPfizerEU Joint Programme – Neurodegenerative Disease ResearchZonMwWeston Brain InstituteReta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology,University College LondonKonung Gustaf V:s och Drottning Victorias FrimurarestiftelseNederlandse Organisatie voor Wetenschappelijk OnderzoekFondazione Italiana Sclerosi MultiplaAlzheimer NederlandBiogenNovo NordiskUniversity of PennsylvaniaAlexion PharmaceuticalsNational Institute for Health and Care ResearchAlzheimer's AssociationRoche NederlandSanofi
Mots-clésBiomarkerAtrophyMeta-analysisCohortMedicineCohort studyPosterior cortical atrophyPathologyOncologyBiologyDiseaseDementia

Résumé

récupéré en direct d'OpenAlex

Background Posterior cortical atrophy is a rare syndrome characterised by early, prominent, and progressive impairment in visuoperceptual and visuospatial processing. The disorder has been associated with underlying neuropathological features of Alzheimer's disease, but large-scale biomarker and neuropathological studies are scarce. We aimed to describe demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy in a large international cohort. Methods We searched PubMed between database inception and Aug 1, 2021, for all published research studies on posterior cortical atrophy and related terms. We identified research centres from these studies and requested deidentified, individual participant data (published and unpublished) that had been obtained at the first diagnostic visit from the corresponding authors of the studies or heads of the research centres. Inclusion criteria were a clinical diagnosis of posterior cortical atrophy as defined by the local centre and availability of Alzheimer's disease biomarkers (PET or CSF), or a diagnosis made at autopsy. Not all individuals with posterior cortical atrophy fulfilled consensus criteria, being diagnosed using centre-specific procedures or before development of consensus criteria. We obtained demographic, clinical, biofluid, neuroimaging, and neuropathological data. Mean values for continuous variables were combined using the inverse variance meta-analysis method; only research centres with more than one participant for a variable were included. Pooled proportions were calculated for binary variables using a restricted maximum likelihood model. Heterogeneity was quantified using I 2 . Findings We identified 55 research centres from 1353 papers, with 29 centres responding to our request. An additional seven centres were recruited by advertising via the Alzheimer's Association. We obtained data for 1092 individuals who were evaluated at 36 research centres in 16 countries, the other sites having not responded to our initial invitation to participate to the study. Mean age at symptom onset was 59·4 years (95% CI 58·9–59·8; I 2 =77%), 60% (56–64; I 2 =35%) were women, and 80% (72–89; I 2 =98%) presented with posterior cortical atrophy pure syndrome. Amyloid β in CSF (536 participants from 28 centres) was positive in 81% (95% CI 75–87; I 2 =78%), whereas phosphorylated tau in CSF (503 participants from 29 centres) was positive in 65% (56–75; I 2 =87%). Amyloid-PET (299 participants from 24 centres) was positive in 94% (95% CI 90–97; I 2 =15%), whereas tau-PET (170 participants from 13 centres) was positive in 97% (93–100; I 2 =12%). At autopsy (145 participants from 13 centres), the most frequent neuropathological diagnosis was Alzheimer's disease (94%, 95% CI 90–97; I 2 =0%), with common co-pathologies of cerebral amyloid angiopathy (71%, 54–88; I 2 =89%), Lewy body disease (44%, 25–62; I 2 =77%), and cerebrovascular injury (42%, 24–60; I 2 =88%). Interpretation These data indicate that posterior cortical atrophy typically presents as a pure, young-onset dementia syndrome that is highly specific for underlying Alzheimer's disease pathology. Further work is needed to understand what drives cognitive vulnerability and progression rates by investigating the contribution of sex, genetics, premorbid cognitive strengths and weaknesses, and brain network integrity. Funding None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,281
Score d'incertitude au seuil0,672

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0040,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,531
Tête enseignante GPT0,519
Écart entre enseignants0,013 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations63
Publié2024
Routes d'admission2
Résumé présentoui

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