Notice bibliographique
Résumé
Several studies have clearly shown that depression carries one of the largest global burdens of all medical problems. Precise details are provided in Dr. Kennedy's introduction to the articles in this special issue.1 The World Health Organization estimates that depression will, unfortunately, become the number-one illness in terms of global burden by the year 2010.2 Although we hope this gloomy statistic will not be reached, there are many factors that act in favour of achieving this outcome. First, there remains an obvious negative perception in our society about major depression; perhaps because of this, it is estimated that more than half the individuals meeting the criteria for major depression never consult any health care practitioner.3,4 The individuals who do present with major depression are often not diagnosed, do not receive an antidepressant or, if they do, the dose is frequently suboptimal.5,6 Finally, in the best-case scenario (i.e., a depressed patient receives an adequate dose of an antidepressant drug for a sufficient time), only 30%–50% of patients experience a complete remission. In this issue, Dr. Tranter and colleagues7 emphasize the deleterious effects of settling for a response rather than a thorough remission. Another significant problem is the insufficient duration of treatment after the remitted state has been achieved. Since major depression is associated with a significant mortality rate, if one considers only the prevalence of suicides associated with this disorder, this represents a poor performance by the medical community. How can we blame individuals with major depression for not consulting us when we have consistently displayed such a poor track record in treating the disorder over the years? To reverse such negative trends, several changes will have to be implemented in the management of major depression. A very important one, as highlighted in the series of articles of this issue, is for health care practitioners to aim for remission rather than response. Another is to do away with the practice of prescribing an antidepressant at a minimal effective dose and waiting for weeks, if not months, before assessing the treatment response. The rationale often put forth for this course of action is that there is no urgency in getting a rapid onset of action because patients have already been ill for months or years. The reality is that by the time patients consult for their depression, they are often in a crisis situation. Consequently, there is a pressing need for relief. This should call for frequent visits to manage possible side effects, optimize the treatment regimen and maintain compliance. Ideally, utilizing a user-friendly standardized rating scale would help to monitor a patient's status effectively. The 7-item Hamilton scale proposed by Dr. McIntyre and colleagues appears to be a rapid and sensitive tool to achieve this.8 Given the low remission rate achieved with single antidepressant drugs, a significant proportion of patients may end up on 2 or more antidepressant drugs, a potentiating agent, or all of the above. In severe cases of depression, why not start with 2 agents that will initially improve comfort (i.e., choose antidepressant drugs with side effects that counteract each other) and potentially obtain a more rapid onset of action or a higher remission rate in the standard minimal time of 6–8 weeks? There are numerous examples where such an approach has been successful in other fields of medicine. Indeed, for severe infections when the pathogen is not known, 2 antibiotics are used initially. It is standard practice to use a β2-adrenergic agonist and a corticosteroid to treat asthma. As well, in cases of malignant hypertension, more than one agent may be used simultaneously. The main concern with respect to this approach to treat depression has been prescribing a second drug that may not be necessary. Why not approach the problem from a different perspective: obtain a remission in a severe depression with 2 agents, chosen on the basis of their complementary mechanisms of action and their potential to maximize patient comfort, and then worry about possibly discontinuing one drug when the patient is in full remission? There is evidence, for example, with asthma, that when children are kept asymptomatic, the long-term prognosis is improved (unpublished data). In this series, Kennedy1 alludes to similar data with respect to achieving remission early in the treatment of major depression and long-term prognosis. A study is being conducted at the University of Florida to examine such a strategy (i.e., prescribing 2 versus 1 antidepressant from the beginning of treatment to assess onset of action and efficacy, and when remission is achieved in patients taking 2 drugs, discontinuing 1 of them). Major depression is a grave illness; it should be treated in a more aggressive fashion, following the same principles used in other fields of medicine. Indeed, who among us can claim that depression has not taken away one of our acquaintances, friends or family members because of suicide? I cannot.
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 | 0,011 | 0,045 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,006 |
| Communication savante | 0,005 | 0,009 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,014 | 0,020 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,005 |
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 ».