Notice bibliographique
Résumé
Pathological gambling and dopamine agonists: A phenotype?Therapeutic dopamine agonists have been around a long time ever since the defi cit of brain dopamine in Parkinson's disease (PD) was fi rst reported in 1960 (Ehringer and Hornykiewicz 1960) swiftly followed by the fi rst clinical trial of levodopa administration in Parkinsonian patients (Birkmayer and Hornykiewicz 1961).Design of new dopamine agonists was also a fi rst love of the Editor of Neuropsychiatric Disease and Treatment (Pinder 1970;Miller et al 1974).In those fi rst heady years effi cacy in a previously untreatable but rather common neurological disorder seemed more important than side effects, especially as more selective agonists of dopamine than levodopa came on stream.Indeed, in addition to the many variations on levodopa, such as different pharmaceutical formulations and various combinations with enzyme inhibitors, there is now an armamentarium of such drugs available including ergoline derivatives like bromocriptine, cabergoline, and pergolide and non-ergolines such as pramipexole, ropinirole, and rotigotine.Dopamine agonists are even being used as monotherapy in early PD before levodopa-containing drugs are considered (Clarke and Guttman 2002).Cabergoline and pergolide have recently been associated with an increased risk of valvular heart disease in PD patients (Schade et al 2007;Zanettini et al 2007), because of these fi ndings, pergolide was recently withdrawn from the US market by the FDA.Among the many side effects of all dopamine agonists as treatments for PD are impulse control disorders such as pathological gambling (Driver-Dunckley et al 2003;Dodd et al 2005).Although serious, and often fi nancially and socially catastrophic for the individual patient, compulsive gambling is relatively uncommon and the predictive features for determining who is likely to experience impulsive behavior are unknown.However, in this issue, the group of Hubert Fernandez at the McKnight Brain Institute at the University of Florida proposes a possible 'phenotype' based on the four As: anxiety, anger, age, and agonists (Shapiro et al 2007).They have analyzed whether lifestyle or environmental factors are associated with pathological gambling in PD.Although the sample is relatively small, compulsive gamblers appear to be younger and exhibit higher levels of anxiety, anger, and confusion.A Canadian report has also been published in February with a somewhat larger sample, which confi rms the younger age of compulsive gamblers and the use of dopamine agonists, together with a history of medication-induced hypomania or mania, higher novelty seeking, and a personal or immediate family history of alcohol use disorders (Voon et al 2007).If these vulnerabilities can be confi rmed in larger and longer-term studies, particularly in other PD populations across the globe, then we may be able to talk about a true phenotype.Identifi cation of PD patients potentially at risk for developing compulsive gambling behavior would be particularly useful to clinicians prescribing dopamine agonists enabling them to be extra vigilant when dealing with this particular sub-population.Dopamine agonists are also used in another chronic neurological disorder, restless legs syndrome (RLS), despite the lack of a precise dopaminergic pathophysiology for the disorder (Happe and Trenkwalder 2004;Trenkwalder et al 2005).The last issue of Neuropsychiatric Disease and Treatment was largely devoted to RLS, and included major reviews on RLS-associated disturbances of sleep (Bogan 2006) and mood (Becker 2006), evaluations of pramipexole (Benbir and Guilleminault 2006),
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».