What proportion of cases of epilepsy are actually caused by neurocysticercosis?
Notice bibliographique
Résumé
The recent study by Del Brutto et al.1 sought to determine the association between neurocysticercosis (NC) and epilepsy in an endemic rural population in Ecuador, explaining that their study addressed selection bias likely present in earlier studies, many of which have been scrutinized in recent reviews.2, 3 As the authors acknowledge, Prasad et al.4 also conducted a population-based study in India some years before, finding similar results, that is, that people with epilepsy had greater odds of also having NC. There is abundant information that all evolutive phases of the parasite in the brain, including calcification, are related to seizures.5 A genetic predisposition for low seizure threshold in patients with NC who develop epilepsy may exist,6 which would explain the substantial number of asymptomatic cases of NC in the population.7, 8 An interesting finding of the Del Brutto et al. study is that about 9% of the population had calcifications in the brain and were asymptomatic, which is very similar to a study carried out in rural Mexico,8 which found that 9.1% of apparently healthy participants had calcifications, probably due to NC, and were asymptomatic. Calcifications, of course, could correspond to other pathologies,9 but differential diagnosis would need to be established in a setting, such as a tertiary hospital, where additional diagnostic tools are available. We agree that there is no question that NC is one of many potential causes of epilepsy in some endemic countries, but we would argue that the true unknown question is the following: what proportion of cases of epilepsy are solely caused by NC? Unfortunately, this study and other cross-sectional studies cannot get us closer to answering this question, because temporality cannot be determined. Furthermore, because NC can be both a cause of epilepsy and an incidental finding, other potential causes of epilepsy need to be carefully ruled out before attributing epilepsy to NC. Type of neuroimaging is very important, because use of computed tomography (CT) alone may obscure some causes of epilepsy. It is probably time to recognize that CT alone may be limited in properly assessing etiology in patients with epilepsy for epidemiological studies and its use may lead to biased estimates. Depending on the magnetic resonance imaging (MRI) technique, dual pathology can be demonstrated in between 20% and 30% of cases.10 This raises the question of whether epilepsy could have been wrongly attributed to NC in a substantial number of cases in the present study, as MRI data were available for less than one-third of participants, notwithstanding that calcifications could have corresponded to pathologies other than NC. We argue that it is time to cease initiating more cross-sectional studies that tell us that NC and epilepsy are associated. This question has been answered many times and the answer will not change. It is time to conduct a prospective cohort study enrolling patients with new onset seizures and NC to tell us how many of these patients actually develop epilepsy. Additionally, epidemiological studies must emerge using MRI, at least in the cases selected for neurological examination, to ascertain the etiology of epilepsy. The authors declare no conflicts of interest. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report 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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,006 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».