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Enregistrement W4296260825 · doi:10.1002/mdc3.13571

Reply: Is Pathology Always the Diagnostic Gold Standard in Neurodegeneration?

2022· article· en· W4296260825 sur OpenAlexaff
Stephen A. Ryan, Mario Masellis, Juan M. Bilbao, Julia Keith, Ekaterina Rogaeva, Sandra E. Black, Anthony E. Lang, Galit Kleiner

Notice bibliographique

RevueMovement Disorders Clinical Practice · 2022
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeurological diseases and metabolism
Établissements canadiensToronto Western HospitalBaycrest HospitalOntario Brain InstituteHealth Sciences CentreOccupational Cancer Research CentreUniversity Health NetworkUniversity of TorontoSunnybrook Health Science CentreQueen's University
Organismes subventionnairesnon disponible
Mots-clésChoreaProgressive supranuclear palsyDystoniaMedicinePathologyTauopathyDiseaseAtrophyPathologicalPsychologyNeuroscienceNeurodegeneration

Résumé

récupéré en direct d'OpenAlex

We read with interest Dr. Espay's viewpoint regarding the place of pathology in defining disease.1 He describes a fascinating case challenging how we ultimately classify disease—a patient with a progressive dystonia-ataxia syndrome and a supranuclear gaze palsy who fulfilled pathological diagnostic criteria for PSP, but was shown to harbor a variant in the TGM6 gene that they postulate ultimately led to the tau pathology.2 Medicine, and the way in which we come to a medical diagnosis, is ever evolving. As a neurologist one typically starts by localizing the clinical problem, and then considers pathologies known to affect this area. The available paraclinical tests, antibodies and genetic analyses are ever growing. Which of these gets the ultimate say on the diagnosis is subject to revision as knowledge expands. Our case demonstrated clear clinical-pathological correlation over a decade of follow-up.3 The right sided chorea correlated with pathological findings in the STN. The Wallerian degeneration and atrophy of the left > right corticospinal tract correlated with the eventual development of right hemiplegia. Both clinical presentation and pathology are relevant to nosology. Dr Espay asks: could an autoantibody have caused or contributed to the visualized tau deposition in a man with aPL antibodies and thrombocytopenia? Indeed, given the chorea and antiphospholipid (aPL) antibodies without an obvious alternate cause, we elected to treat empirically with pulsed IV steroids, IVIG and methotrexate. The aPL antibodies and thrombocytopenia normalized but there was ongoing neurological progression, making a causal relationship unlikely. Furthermore, at autopsy there was no microangiopathy that might have been expected had there been a causal relationship and we know that aPL antibodies are common in the general population.4 Anti-IgLON5 related tauopathy is a fascinating disorder that makes us think about correlations between neuroinflammation, neurodegeneration and genetics. This condition has an expanding clinical phenotype, and emerging pathological correlates and genetic associations. As testing for this antibody was not available when treating our patient, we cannot refute that this antibody or another as-yet-unknown antibody potentially existed. There are different pathological distributions of tau between PSP-PNLA and anti-IgLON5 cases,5 both the pathology and its distribution are worthy of consideration. Furthermore, sequencing of the MAPT gene did not reveal any pathological mutations. However, he was found to have the MAPT H1/H1 genotype, a known and common genetic risk factor for PSP pathology. Reporting novel clinical presentations with pathological findings on autopsy remains worthwhile. Consider how we classify dementias, one could group dementias based on site of lesion, histopathology, clinical features, or etiology—reliance on one alone would cause error but an integrated nosology brings both clinical and experimental benefits.6 As our understanding of disease pathways evolves, so our nosology will have to also. We thank Dr Espay for his thoughtful comments. 1.Manuscript Preparation: A. Writing of the first draft, B. Review and Critique. RS: 1A, 1B. MM: 1A, 1B. BJ: 1B. KJ: 1B. RE: 1B. BSE: 1B. LAE: 1B. GK-F: 1A, 1B. No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work. The authors declare that there are no additional disclosures to report. Ethics committee review was not indicated for this case report, but the authors adhered to the Declaration of Helsinki throughout the process. Written consent was obtained from the patient for the purposes of case report preparation. All authors have read and complied with the Journal's Ethical Publication Guidelines. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,063
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,988
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,063
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,009
Communication savante0,0040,014
Science ouverte0,0050,004
Intégrité de la recherche0,0450,076
Charge utile insuffisante (le modèle a refusé de juger)0,0050,006

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 Opus0,049
Tête enseignante GPT0,361
Écart entre enseignants0,312 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineMéthodes
GenreCommentaire

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

En bref

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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