Career Pathways of Graduates of General Surgery Residency Programs: An Analysis of Graduates From 1983 To 1990
Notice bibliographique
Résumé
BACKGROUND: Approximately 1,000 individuals complete graduate surgical education in general surgery each year. Their subsequent career pathways have not been described but may have relevance to the supply of general surgeons available to provide a broad range of surgical care to the population of the USA. STUDY DESIGN: Data for this study were obtained from the American College of Surgeons's Surgery Resident Masterfile, developed for the annual Longitudinal Study of Surgery Residents, and the American Board of Medical Specialties's Official Directory of Board Certified Medical Specialists. For verification purposes, the American Medical Association's Physician Masterfile and the American Board of Surgery's certified database were searched. Yearly analyses of certified general surgery graduates from 1983 to 1990 were conducted, and rates of certification between US or Canadian medical school graduates and international medical school graduates (IMG) were compared. RESULTS: Ten to 18 years after completion of a residency program in general surgery, 93.6% of graduates had been certified in general surgery or by another American Board of Medical Specialties board. A total of 43.7% of the 8,068 graduates were certified, in addition, in a general surgery-based specialty. Overall, evidence of certification was not available for 6.4% of graduates. The certification rate for US or Canadian graduates was 95.8% of general surgeons and increased for IMG surgeons from 69.4% for 1983 graduates to 94.7% for 1990 graduates. The number of IMGs in general surgery residency programs declined from 19.7% of 1983 graduates to 7.8% of 1990 graduates. The rates of American Board of Surgery certification are 96.1% for male and 93.6% for female US or Canadian graduates; 79.2% of male IMG graduates and 83.7% of female IMG graduates became certified. CONCLUSIONS: Most surgeons who completed a general surgery residency program from 1983 to 1990 are certified and presumably have met high standards for knowledge and experience. More than half of the graduates specialize further.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,001 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».