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Enregistrement W4410855298 · doi:10.34067/kid.0000000796

Steps Forward for Cardio-Kidney-Metabolic Research in Transplant Recipients

2025· article· en· W4410855298 sur OpenAlexaffabout
Kristin K. Clemens, Louise Moist

Notice bibliographique

RevueKidney360 · 2025
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMetabolism and Genetic Disorders
Établissements canadiensSt Joseph's Health CareLondon Health Sciences CentreLawson Health Research InstituteWestern University
Organismes subventionnairesnon disponible
Mots-clésKidney transplantInternal medicineMedicineIntensive care medicineCardiologyKidney transplantationKidneyComputer science

Résumé

récupéré en direct d'OpenAlex

Glucagon-like peptide 1 receptor agonists (GLP-1RAs) have revolutionized the treatment of patients with metabolic disease. In large randomized controlled trials (RCTs) of participants with type 2 diabetes, nontransplant CKD, and obesity, GLP-1RAs have been proven to improve glycemic control; promote weight loss; reduce damage to the heart, brain, and kidneys; and lower the risk of death.1 In their article, Kahwaji et al. report on 185 kidney transplant recipients with type 2 diabetes who were prescribed a GLP-1RA (mostly liraglutide) within the Southern California Kaiser Permanente integrated health care organization.2 Patients were predominately non-Caucasian (76%) and of female sex (56%). Investigators examined the effect of GLP-1RA on hemoglobin A1c (HbA1c), body mass index (BMI), eGFR, and immunosuppressant levels every 3 months, until last transplant follow-up (median of 272 days). There were promising short-term outcomes observed; the use of GLP1-RAs was associated with a reduction in HbA1c (8%–7.3%, P < 0.001) and BMI (35.2–33.2 kg/m2, P < 0.001) to the last follow-up. There was no change in eGFR or tacrolimus levels observed, and there was no graft failure to the end of follow-up. The authors suggest that GLP-1RAs should be considered for weight loss and diabetes control in kidney transplant recipients. Kahwaji's findings are important and do align with the results of a recent systematic review (SR) and meta-analysis of nine observational cohort studies of GLP-1RA in kidney transplant recipients published in 2024.3 In the SR, Krisanapan et al. found that GLP-1RAs helped to reduce HbA1c (mean difference, −0.85%; 95% confidence interval, −1.4% to −0.28%), and BMI with stability in eGFR and creatinine observed over time. However, observational cohort studies, including the current report, are not without methodologic limitations. This study was small, single centered, had no comparator, and was subject to significant confounding (confounding by indication in particular). Only tacrolimus interactions were considered, excluding other immunosuppressants such as mycophenolate. Exploring the effect of GLP-1RAs on gastrointestinal side effects would have been important. In CKD and transplant populations, the risk of nausea and vomiting is high (17.6% of patients had gastrointestinal side effects in the aforementioned SR).3,4 Understanding the risk of GLP-1RA when coprescribed with insulin and other antihyperglycemic medications is also important given the risk of hypoglycemia with combination therapy.5 Besides eGFR effect, assessing the effect of GLP-1RAs on albuminuria would also be valuable, given the known kidney benefits of these drugs in nontransplant populations.6 Well-conducted multicentered RCTs of GLP-1RAs in kidney transplant recipients should continue to be encouraged. In Canada, the HALLMARK study will investigate the short-term efficacy of 12 weeks of dapagliflozin and semaglutide in 20 kidney transplant recipients with and without diabetes mellitus. Proposed outcomes include BP, heart, and kidney failure.7 The Semaglutide Treatment for Hyperglycaemia After Renal Transplantation study will examine the effect of oral semaglutide versus placebo on plasma glucose in 100 participants with hyperglycemia after kidney transplant.8 Future studies should also focus on longer term cardio (cardiovascular disease), kidney (graft outcomes), and metabolic outcomes (diabetes, weight) with use of GLP-1RAs, along with the safety of GLP-1RAs in transplant recipients (hypoglycemia, gastrointestinal side effects, and AKI).9 Special attention to the risk of infection and malignancy is essential given the use of immunosuppressant medications in this patient population.10 Future trials might also explore the optimal timing of GLP-1RA initiation, and how these medicines might be positioned alongside other therapies including sodium-glucose cotransporter 2 inhibitors in kidney transplant recipients. Clinical research should continue to prioritize inclusivity, ensuring diverse participation (e.g., women and non-Caucasian individuals), to enhance real-world applicability. In summary, Kahwaji et al. share more evidence for the use of GLP-1RAs in kidney transplant recipients. The conduct of larger, long-term, inclusive, and rigorous RCTs needs to be encouraged.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,388
Score d'incertitude au seuil0,668

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,023
Tête enseignante GPT0,339
Écart entre enseignants0,315 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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'admission2
Résumé présentoui

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