Kidney Transplant Fast Track and Likelihood of Waitlisting and Transplant
Notice bibliographique
Résumé
Importance: Kidney transplant (KT) is the optimal treatment for end-stage kidney disease (ESKD). The evaluation process for KT is lengthy, time-consuming, and burdensome, and racial and ethnic disparities persist. Objective: To investigate the potential association of the Kidney Transplant Fast Track (KTFT) evaluation approach with the likelihood of waitlisting, KT, and associated disparities compared with standard care. Design, Setting, and Participants: This nonrandomized clinical trial was a prospective comparative cohort trial with a historical control (HC) comparison and equal follow-up duration at a single urban transplant center. Study duration was 2015 to 2018 for KTFT, with follow-up through 2022, and 2010 to 2014 for HC, with follow-up through 2018. Adult, English-speaking patients with ESKD, no history of KT, and a scheduled KT evaluation appointment were included. Among 1472 eligible patients for the KTFT group, 1288 consented and completed the baseline interview and 170 were excluded for not attending an evaluation appointment; among 1337 patients eligible for the HC group, 1152 consented and completed the baseline interview and none were excluded. Data were analyzed from August 2023 through December 2024. Exposure: Streamlined, patient-centered, coordinated-care KT evaluation process. Main Outcomes and Measures: Time to waitlisting for KT and receipt of KT. Results: The study included 1118 participants receiving KTFT (416 female [37.2%]; mean [SD] age, 57.2 [13.2] years; 245 non-Hispanic Black [21.9%], 790 non-Hispanic White [70.7%], and 83 other race or ethnicity [7.4%]) and 1152 participants in the HC group (447 female [38.8%]; mean [SD] age, 55.5 [13.2] years; 267 non-Hispanic Black [23.2%], 789 non-Hispanic White [68.5%], and 96 other race or ethnicity [8.3%]). After adjusting for demographic and clinical factors, the KTFT compared with the HC group had a higher likelihood of being placed on the active waitlist for KT (subdistribution hazard ratio [SHR], 1.40; 95% CI, 1.24-1.59). Among individuals who were waitlisted, patients in the KTFT vs HC group had a higher likelihood of receiving a KT (SHR, 1.21; 95% CI, 1.04-1.41). Black patients (SHR, 1.54; 95% CI, 1.11-2.14) and White patients (SHR, 1.38; 95% CI, 1.16-1.65) receiving KTFT were more likely to be waitlisted for KT than those in the HC group, but no such difference was found for patients with other race or ethnicity. Among Black patients, those with KTFT were more likely than those in the HC group to undergo KT (SHR, 1.52; 95% CI, 1.06-2.16), but no significant differences were found for White patients or those with other race or ethnicity. Conclusions and Relevance: This study found that KTFT was associated with a higher likelihood of waitlisting and KT than standard care. Findings suggest that KTFT may be associated with reduced disparities in KT by race and ethnicity. Trial Registration: ClinicalTrials.gov Identifier: NCT02342119.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».