Invited Response to “Potential Disadvantages of Over Centralization of Organ Recovery Centers: Response to Marsolais et al.”
Notice bibliographique
Résumé
To the Editor: We thank the authors for their very attentive reading of our article and the opportunity to clarify a few points (1Marsolais P Durand P Charbonney E et al.The first 2 years of activity of a specialized organ procurement center: Report of an innovative approach to improve organ donation.Am J Transplant. 2017; 186: 95Google Scholar,2Weis MJ Healey A Dhanani S Lizé JF Potential disadvantages of over centralization of organ recovery centers: Response to Marsolais et al..Am J Transplant. 2017; (https://doi.org/10.1111/ajt.14357. [Epub ahead of print].)Abstract Full Text Full Text PDF Scopus (1) Google Scholar). Regarding the indicator of transplant per million population (tpm), we would like to reemphasize its worldwide use to report the organ donation process efficiency. This indicator encompasses all potential obstacles to the donation process such as identification of potential donors, conversion rate, support to donor’s families, quality of donor support, and organizational efficiency. The tpm is used by international organizations such as “Le Comité européen sur la transplantation d’organes” as their main measure since 2003 (3International figures on organ donation and transplantation.Newsletter Transplant. 2003; 8 (Available from: http://www.ont.es/publicaciones/Documents/Newsletter%20Transplant%202003.pdf.): 1-48Google Scholar). Our comparative data using tpm from 107 countries are extracted from the Global Observatory on Donation and Transplantation database (under the signed agreement between the World Health Organization and the Spanish Ministry of Health) (4International figures on donation and transplantation 2015. Newsletter Transplant. 2016; 21.Google Scholar). Interestingly, the authors refer in their argument to a publication on organ donation in Canada specifically reporting results in tpm (5Canadian Blood Services. Organ donation and transplantation in Canada—System Progress Report 2006–2015. 2016; 1–98.Google Scholar). Our colleagues point out two discrepancies regarding reported tpm in other jurisdictions. They were unfortunately misled by the fact that the numbers they are referring to include living donors who were excluded from our study. Furthermore, the Canadian reference cited by the authors was not published at the time of manuscript submission. We agree that transfer of potentially unstable patients may carry some risk. In the current model of care in the province of Quebec, these patients identified in smaller centers are already transferred to other academic centers. During the 2-year period, we did not experience any adverse events during donor transfers. Doyle et al previously published their experience using a model similar to the Organ Procurement Center (OPC) (6Doyle MB Vachharajani N Wellen JR et al.A novel organ donor facility: A decade of experience with liver donors.Am J Transplant. 2014; 14: 615-620Crossref PubMed Scopus (29) Google Scholar). They reported that out of 850 patients, 90% were transferred. Donors were found to be too unstable in only 1% (9 cases) and family refused the transfer in 3.9% of the cases. The discussion of expertise centralization and associated risks or benefits is an important one. Most referring centers identify between 0 and 3 patients a year and do not have access to advanced investigation techniques essential in the care of such patients (echocardiography, coronarography, bronchoscopy, organ biopsies, etc). The organ donation process could also be quite stressful for less exposed physicians, especially since most of these smaller hospitals have staff who are family physicians and internists with infrequent encounter with the organ donation process. Rapid transfer to a specialized unit relieves both the system and the physician from the challenging task of supporting and optimizing the organ donation process. This centralization of expertise is already well supported for a variety of other complex medical situations (trauma, lung transplantation, cardiac surgery, etc.) where it has also been associated with improved outcomes. The OPC is an adapted replication of these models of reference centers in areas where the total number of cases by center is relatively low. The results of our experience strongly support centralization of expertise for organ donation as well (Figure 1). Finally, we certainly support a scientific approach to better understand the advantages and disadvantages of different organizational models in organ donation and would invite the authors to appraise their proposed model of care. The authors 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 | 0,008 | 0,058 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,030 | 0,041 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,012 |
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 ».