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Enregistrement W2315799215 · doi:10.1097/tp.0b013e318279d813

President of The Transplantation Society, 2010–2012

2012· editorial· en· W2315799215 sur OpenAlexaff
Jeremy R. Chapman

Notice bibliographique

RevueTransplantation · 2012
Typeeditorial
Langueen
DomaineMedicine
ThématiqueOrgan and Tissue Transplantation Research
Établissements canadiensUniversité du Québec
Organismes subventionnairesnon disponible
Mots-clésTransplantationWifeMedicineMedical schoolFamily medicineManagementGerontologyPolitical scienceLawMedical educationInternal medicine

Résumé

récupéré en direct d'OpenAlex

Professor Gerhard Opelz (Fig. 1) was born in September 1944 in Austria. He was schooled in Austria, and after a period of compulsory military service in the Austrian Army, he attended medical school at the University of Vienna from 1963 to 1970.FIGURE 1: Professor Gerhard Opelz, President, The Transplantation Society, 2010–2012.He found both an interest in immunology and his future wife in Stockholm, where he worked as a physician at the Stockholm Blood Center and was awarded a fellowship by The Swedish Institute in 1970. A Fulbright fellowship in the following year saw him travel to California, where he commenced as a postgraduate research immunologist in the Department of Surgery, University of California School of Medicine. Working with Paul Terasaki, he became an associate professor in 1975, and a very productive period of research in human leukocyte antigen (HLA) and transplantation followed. He was recruited back across the Atlantic in 1981 as the Chair of Transplantation Immunology and the Director of the Department of Transplantation Immunology in the Institute of Immunology, University of Heidelberg, where he has remained to this day. He is one of the best known and most highly published people in the fields of both transplantation and histocompatibility, partly through the Collaborative Transplant Study (CTS), which he initiated in 1982, with currently approximately 400 participating centers in 46 countries. The growth of the data held by the CTS has been evident to anyone in the field, as shown in Figure 2. This has been one of our most important global resources, documenting over the years the various significant influences on transplantation outcomes. Not all of the results from the CTS have been welcomed nor indeed understood—at least initially. In the early 1980s, we learned from the CTS about the blood transfusion effect in renal transplantation, and then in the late 1980s, we learned from the same source that it has now dissipated. The importance of HLA matching has been an important theme of the work, especially with the introduction of more accurate DNA typing techniques, sensitive crossmatching techniques, and the definition of donor-specific antibodies to HLA and to major histocompatibility complex I–related chain A. However, the CTS has also contributed substantially in other areas that require large databases to see through the interfering noise (e.g., posttransplantation lymphoma, the importance of blood pressure control, the development of malignancies in the immunosuppressed patient, and trials of immunosuppression, especially through a randomized controlled study of steroid-free therapy).FIGURE 2: Cumulative growth data of the Collaborative Transplant Study, 1981–2012.Professor Opelz has been honored by many organizations, including the Schiff Award, German Society for Transfusion and Immunohematology; the Clas Högman Lecture, Swedish Society for Blood Transfusion; the Jean Dausset Lecture at the International Jean Dausset Symposium; the Terasaki Lecture, British Society for Histocompatibility and Immunogenetics; the Gold Medal of the Catalan Transplantation Society; the Terasaki Award, American Society for Histocompatibility and Immunogenetics; and the Ceppellini Lecture of the European Federation of Immunogenetics. He has served on many editorial boards and as president and on the councils of many professional societies. We are proud to have him serve as the President of The Transplantation Society.

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,494
Score d'incertitude au seuil1,000

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 recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,019
Tête enseignante GPT0,309
Écart entre enseignants0,289 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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