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Enregistrement W2085988895 · doi:10.7326/0003-4819-132-9-200005020-00010

Pharmacologic Treatment of Acute Major Depression and Dysthymia: Clinical Guideline, Part 1

2000· article· en· W2085988895 sur OpenAlexaboutno aff
Vincenza Snow, Steven Lascher, Christel Mottur-Pilson

Notice bibliographique

RevueAnnals of Internal Medicine · 2000
Typearticle
Langueen
DomaineMedicine
ThématiqueTreatment of Major Depression
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineDepression (economics)GuidelinePsychiatryIntensive care medicineInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

Position Papers2 May 2000Pharmacologic Treatment of Acute Major Depression and Dysthymia: Clinical Guideline, Part 1Vincenza Snow, MD, Steven Lascher, DVM, MPH, and Christel Mottur-Pilson, PhD, for the American College of Physicians-American Society of Internal Medicine*.Vincenza Snow, MD, Steven Lascher, DVM, MPH, and Christel Mottur-Pilson, PhD, for the American College of Physicians-American Society of Internal Medicine*.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-132-9-200005020-00010 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail The numbers in square brackets are cross-references to the numbered sections in the accompanying background paper, "A Systematic Review of Newer Pharmacotherapies for Depression in Adults: Evidence Report Summary," which is part 2 of this guideline (see pages743-756).Major depression and dysthymia are two of the most common and debilitating illnesses. The World Health Organization estimates that worldwide, major depression is the fourth leading cause of loss of disability-adjusted life-years. Major depression is a clinical syndrome lasting at least 2 weeks, during which the patient experiences either depressed mood or anhedonia plus at least five of the following symptoms: depressed ...References1. Mulrow CD, Williams JW Jr, Trivedi M, Chiquette E, Aquilar C, Cornell JE. Treatment of Depression: Newer Pharmacotherapies. Evidence Report/Technology Assessment No. 7. Rockville, MD: Agency for Health Care Policy and Research; February 1999. AHCPR Publication No. 99-E014. www.ahcpr.gov/clinic/depresumm.htm. Google Scholar2. Glass RM. Treating depression as a recurrent or chronic disease [Editorial]. JAMA. 1999;281:83-4. CrossrefMedlineGoogle Scholar3. Depression Guideline Panel. Depression in Primary Care. Volume 2. Treatment of Major Depression. Clinical Practice Guideline No. 5. Rockville, MD: U.S. Department of Health and Human Services; 1993. AHCPR Publication No. 93-0551. Google Scholar4. Physicians' Desk Reference. Montvale, NJ: Medical Economics; 1998. Google Scholar5. Simon GE, VonKorff M, Heiligenstein JH, Revicki DA, Grothaus L, Katon W, et al . Initial antidepressant choice in primary care. Effectiveness and cost of fluoxetine vs tricyclic antidepressants. JAMA. 1996;275:1897-902. CrossrefMedlineGoogle Scholar6. Red Book Update. Montvale, NJ: Medical Economics; 1998. Google Scholar7. Reynolds CF, Frank E, Perel JM, Imber SD, Cornes C, Miller MD, et al . Nortriptyline and interpersonal psychotherapy as maintenance therapies for recurrent major depression: a randomized, controlled trial in patients older than 59 years. JAMA. 1999;281:39-45. CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: For definitions of terms, see Glossary.For other ACP-ASIM Clinical Practice Guidelines, see www.acponline.org/sci-policy/guidelines.This paper, written by Vincenza Snow, MD, Steven Lascher, DVM, MPH, and Christel Mottur-Pilson, PhD, was developed by the Clinical Efficacy Assessment Subcommittee: David C. Dale, MD, Chair; William E. Golden, MD; Robert D. McCartney, MD; Keith W. Michl, MD; Stephen G. Pauker, MD; Sean R. Tunis, MD; Kevin B. Weiss, MD; Preston L. Winters, MD; and John J. Whyte, MD. Approved by the Board of Regents on 17 July 1999.Disclaimer: The authors of this article are responsible for its content, including any clinical or treatment recommendations. No statement in this article should be construed as an official position of the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.Corresponding Author: Customer Service, American College of Physicians-American Society of Internal Medicine, 190 N. Independence Mall West, Philadelphia, PA 19106.Current Author Addresses: Drs. Snow, Lascher, and Mottur-Pilson: Scientific Policy Department, Education Division, American College of Physicians-American Society of Internal Medicine, 190 N. Independence Mall West, Philadelphia, PA 19106. 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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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,594
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,094
Tête enseignante GPT0,456
Écart entre enseignants0,361 · 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.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations144
Publié2000
Routes d'admission1
Résumé présentoui

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