Notice bibliographique
Résumé
The term “evidence based medicine” was coined in 1992 to label a clinical learning strategy, which the teaching staff of the Faculty of Health Sciences at McMaster University in Canada has been developing for over a decade [1,2]. In the years that followed, this novel idea shifted from how to read the medical literature to how to apply the medical literature to the care of the individual patient and under its new form, it has expanded as a real movement, with an impact on education, policy making and research. A comprehensive review published in this issue provides explicit insight into various aspects of the topic [3]. Tracing the history of evidence based medicine, the author seems to adopt the suggestion made by the McMaster’s pioneers that the new doctrine has its origins in mid-19th century Paris [4] or as worded by PK Rangachari, that evidence based medicine is an “old French wine with a new Canadian label” [5]. There is no doubt that the publication in 1835 of the study of the French doctor Pierre Louis on the effectiveness of blood-letting for the treatment of pneumonia can be regarded as a landmark in the evolution of Clinical Epidemiology. However, although outcomes research is an integral part of evidence based medicine, the philosophy of the new clinical discipline in its original formulation extends beyond randomised trials and meta-analyses [4]. In essence, the new concept lies in distinguishing between the use of evidence from clinical research to make decisions and the cause-and-effect reasoning of traditional medical science [6]. In this respect, the first mention of the distinction between evidence based medicine and inferential reasoning extends back to the fifth century BC, when Hippocrates advised his contemporary physicians to “rely on actual evidence rather than on conclusions resulting solely from reasoning, because arguments in the form of idle words are erroneous and can be easily refuted”. (“Oui a’ uo euaio iuiio ioiðanaeiiiÝiui ic asc aðaýnaoeae , oui aa uo Ýnaio aiaasieio ooaeanÞ aan eae aýðoaeooio c iao’ aaieao÷sco eo÷ýneoeo», Ðanaaaaesae EE). Some of the opponents of evidence based medicine argue that there is nothing new in this idea since medicine was always evidence-based. A caustic comment published in the correspondence column of the Lancet ten years ago [7], pointed out that: “Evidence-based medicine is a neologism for informed decision making, and this example of newspeak would have delighted George Orwell. The presumption is made that the practice of medicine was previously based on a direct communication with God or by tossing a coin.” The truth is, however, that before the era of evidence-based medicine, most of the physicians were well trained in biology, but they received little formal training to help evaluate the information that does exist. As a consequence, the practice of medicine was largely based on assumptions and pathophysiological rationale. A characteristic example of this way of making decisions is provided by two passages concerning the treatment of shock taken from the third edition of Friedberg’s EDITORIAL
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».