Instructions for Obtaining Journal CME Credit
Notice bibliographique
Résumé
Anesthesiology’s journal-based CME program is open to all readers. Members of the American Society of Anesthesiologists participate at a preferred rate, but you need not be an ASA member or a journal subscriber to take part in this CME activity.Please complete the following steps:The American Society of Anesthesiologists is approved by the Accreditation Council for Continuing Medical Education (ACCME) to sponsor continuing medical education programs for physicians.The American Society of Anesthesiologists designates this educational activity for a maximum of 1 AMA PRA Category 1 Credit ™. Physicians should only claim credit commensurate with the extent of their participation in the activity.Purpose: The focus of the journal-based CME program, and the articles chosen for the program, is to educate readers on current developments in the science and clinical practice of the specialty of Anesthesiology.Target Audience: Physicians and other medical professionals whose medical specialty is the practice of anesthesia.Learning Objectives: After reading this article, participants should have a better understanding of the pathogenesis, diagnosis, and treatment of lumbar zygapophysial (facet) joint pain.Authors – Steven P. Cohen, M.D., and Srinivasa N. Raja, M.D.Grants or research support: Dr. Cohen receives partial salary support from the John P. Murtha Neuroscience and Pain Institute, Johnstown, Pennsylvania, and the US Army. Dr. Raja has unrestricted grants from Allergan, Irvine, California, and Ortho-McNeil, Raritan, New Jersey, and serves as scientific advisor for Fralex Therapeutics, Toronto, Ontario, Canada. He receives salary support from grant No. NS-26363 from the National Institutes of Health, Bethesda, Maryland.Consultantships or honoraria: NoneQuestion Writers – Peter L. Bailey, M.D., and Leslie C. Jameson, M.D.Drs. Bailey and Jameson have no grants, research support, or consultant positions, nor do they receive any honoraria from outside sources, which may create conflicts of interest concerning this CME program.Based on the article by Cohen and Raja entitled “Pathogenesis, diagnosis, and treatment of lumbar zygapophysial (facet) joint pain” in the March issue of Anesthesiology, choose the one correct answer for each question:1. Which of the following descriptions of lumbar facet joints is the most accurate?A. They are not true synovial joints.B. Each joint contains approximately 1–1.5 ml of fluid.C. The fibrous capsule is arranged to provide maximum resistance to extension.D. The ligamentum flavum forms part of the capsule posteriorly.2. Which of the following mechanisms best explains the increased degeneration of neighboring facet joints when a single level of the lumbar spine is surgically fused?A. Increased facet joint motionB. Nerve root injury during surgeryC. Surgery-induced inflammationD. Loss of vascular supply3. Which of the following statements concerning lumbar facet joints is most likely true?A. They bear most of the axial load in the spine.B. Each has dual innervation from medial branches of the posterior primary rami at the same level and one level below the joint.C. They primarily serve a protective role by limiting movement in all planes.D. They all have the same anatomic orientation.4. Which of the following is the most sensitive and specific diagnostic test to identify lumbar facet inflammation as the source of low back pain?A. History of a torsional injuryB. Paraspinal tenderness to palpationC. Computed tomographyD. An effective response to local anesthetic block5. Which of the following statements concerning the pain pattern(s) associated with lumbar facet pain is most likely true?A. The synovium is the most likely pain generator.B. Upper, compared to lower, lumbar facets more commonly produce pain that is referred to the groin.C. Pain can be referred to below the knee.D. Pain is never radicular.6. Which of the following treatment options for lumbar facet pain is least likely to be successful?A. SurgeryB. Conservative therapiesC. Local anesthetic blocksD. Radiofrequency nerve ablation
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 | 0,003 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,923 | 0,849 |
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 ».