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Enregistrement W4412544930 · doi:10.1097/tp.0000000000005492

Transplantation Abroad: Closing Gaps in Data and Practice

2025· article· en· W4412544930 sur OpenAlexaboutno aff
Michelle Lubetzky, Joel T. Adler

Notice bibliographique

RevueTransplantation · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueOrgan Donation and Transplantation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésClosing (real estate)TransplantationMedicinePolitical scienceSurgeryLaw

Résumé

récupéré en direct d'OpenAlex

There are currently >100 000 people in the United States waiting for an organ transplant.1 Given the shortage of available organs and long wait times, it is not surprising that some patients look abroad for other options. Transplant tourism—the practice of traveling to another country for transplant—is estimated to account for 10% of all transplants globally.2 To combat organ trafficking and reduce the risk of exploitation, the Declaration of Istanbul reaffirmed ethical principles for international transplantation in 2018.3 Although prior studies examined this practice among US patients before 2006,4 there remains a paucity of contemporary data on prevalence, destinations, and outcomes. In this study, Terlizzi et al5 analyzed trends in international transplantation among US waitlist candidates, focusing on temporal patterns, geographic destinations, and patient characteristics associated with waitlist removal because of transplant abroad. Although the study provides valuable insights into who is traveling and where they are going, it also underscores persistent gaps in our understanding of the ethical, clinical, and policy dimensions—and raises more questions than it answers. Using Scientific Registry of Transplant Recipients data from 2010 to 2023, the authors found that US patients who received transplants abroad were more likely to be male and Asian, with India and the Philippines emerging as the most common destinations. These findings echo a prior Scientific Registry of Transplant Recipients–based study (1987–2006),4 although at that time China was the top destination. Although the study cannot definitively explain why patients choose particular countries, the patterns suggest cultural or ethnicities: most Asian patients received transplants in Asia, and most Hispanic patients in Mexico. Although the number of cases remains low—<60 per year—the trend peaked in 2017 and has risen again since 2021. Given the persistent organ shortage, interest in transplantation abroad will likely continue to grow. A recent Canadian study found that 59% of candidates expressed interest in traveling abroad for transplantation, although willingness declined when patients were informed of potential medical risks.6 These trends, although informative, also raise important unanswered questions about outcomes, ethics, and the responsibilities of transplant systems. The analysis by Terlizzi et al5 is unfortunately unable to provide detail on patient motivations, donor types, and posttransplant outcomes. This highlights the need for more systematic data collection and follow-up. In the United States, expanding Organ Procurement and Transplantation Network reporting to include donor type, transplant modality, and patients’ ties to the transplant country (eg, citizenship or family) would provide important context. Globally, there is a strong case for an international registry: in a survey of transplant providers across 68 countries, most providers caring for such patients were willing to contribute to a global registry.8 Such a system could track outcomes, immunosuppression, infections, and donor-recipient characteristics—while protecting privacy and supporting follow-up care. The most urgent gap remains outcomes, as the only data come from small, single-center studies that suggest higher risks of infection and rejection abroad.7-9 In the United States, the Organ Procurement and Transplantation Network could take a first step by requesting follow-up data on patients delisted because of transplant abroad. In parallel, transplant centers need clearer protocols for managing patients who return after receiving transplants abroad. As Terlizzi et al5 noted, these individuals often lack medical records, complicating immunosuppression, infection screening, and graft monitoring. Documentation gaps, uncertain donor history, and fragmented care pose serious risks. Insurance coverage and programmatic responsibility for these patients are often ambiguous. More data from centers currently providing care to these individuals are needed to inform evidence-based clinical guidance and policy development. Although this study does not include direct outreach to such centers, it offers a starting point for deeper examination. Overall, the practice of traveling abroad for transplantation is likely to persist. To protect the safety and well-being of these patients, a system for monitoring and assessing outcomes globally is urgently needed. Continued efforts to document this practice within the United States—and to better understand why patients pursue transplant outside national borders—are critical first steps toward a more meaningful, grounded evaluation of international 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,131
score de la tête « metaresearch » (Gemma)0,407
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,131
Score d'incertitude au seuil0,695

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1310,407
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0180,014
Études des sciences et des technologies0,0030,008
Communication savante0,0150,037
Science ouverte0,0080,019
Intégrité de la recherche0,0090,014
Charge utile insuffisante (le modèle a refusé de juger)0,0180,006

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 Opus0,025
Tête enseignante GPT0,364
Écart entre enseignants0,339 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2025
Routes d'admission1
Résumé présentoui

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