The outstanding questions in transplantation: It’s about time…
Notice bibliographique
Résumé
To the Editor: Organ transplantation represents one of the most daring efforts of science and medicine to challenge end-stage organ diseases and ultimately death. This extraordinary gift of life would not have been possible without the early work of pioneers such as Jaboulay and Carrel in perfecting vascular anastomosis, and the scientific breakthroughs of Medawar and colleagues in understanding immune rejection. Outstanding courage and generosity of organ donors and recipients continue to inspire all of us to do more every day. Today, we look at the century-long history of extraordinary achievements by transplant scientists, clinicians, and patients with great pride but also with the dissatisfaction of knowing just how much we still don’t understand. More than 6 decades after the first successful kidney transplantation performed by Joseph Murray and colleagues at Peter Brigham Hospital in Boston, we are still facing tremendous challenges in improving our patients’ outcomes. Organ shortage, acute and chronic rejection, cardiovascular and renal complications of immunosuppressive medications, in addition to the increased risk of malignancy and infections, are only some of the current challenges in transplant medicine. Being part of this epic journey toward better patient outcomes in transplantation brings us great honor, but also carries the responsibility for us to work together and focus our efforts on the most pressing unanswered questions in transplantation. While we are all comfortable talking about what we know in transplantation, we are reluctant to talk about what we don’t know or do not even know how to approach. However, therein lie the answers to the challenges we are facing today. Within the American Society of Transplantation (AST), we are the Community of Basic Scientists (CoBS), collaborating with other AST Communities of Practice (COPs) including the Trainee and Young Faculty COP (TYFCOP), to create a platform that allows clinicians, scientists, and patients to meet and exchange ideas about the outstanding questions in transplantation. We thank the leadership of the AST for helping us create an online community called “Outstanding Questions in Transplantation” to host this discussion. We invite all members of the transplant community to actively participate and to share their ideas about the future direction of the transplantation field by logging in here: Outstanding Questions in Transplantation (http://community.myast.org/communities/community-home? Community Key=e89d51ba-8bdf-4db2-8d71-1908209dfd69). We are piloting this new site with the members of AST. We hope to offer access to others in the future. We envision that input of clinicians based on the challenges faced in their day-to-day clinical practice will be instrumental in allowing scientists to formulate key scientific questions that need to be addressed over the next few years. We also encourage patients to share their point of view on the most pressing challenges they face. We plan to share the information gathered over this year long process through a variety of knowledge translation activities (including a white paper to be submitted to the American Journal of Transplantation) that we hope will bring basic scientists and clinicians together to create a renewed sense of purpose to overcome the most pressing issues in the field of organ transplantation. The authors of this manuscript have no conflicts of interest to disclose as described by the American Journal of Transplantation.
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 | 0,010 | 0,052 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,008 |
| Communication savante | 0,009 | 0,011 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,017 | 0,047 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,004 |
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 ».