Notice bibliographique
Résumé
We read with interest the recent systematic review and meta-analysis by Israni et al., published in JASN, examining cardiovascular screening strategies in kidney transplant candidates.1 The authors report that few patients undergoing pretransplant coronary artery screening have class 1 indications for revascularization, such as left mainstem stenosis or triple-vessel disease with severe left ventricular dysfunction. While these findings suggest low diagnostic yield of current screening practices, several aspects merit further discussion. The authors reference the International Study of Comparative Health Effectiveness With Medical and Invasive Approaches–CKD (ISCHEMIA-CKD) trial to support re-evaluation of routine screening. ISCHEMIA-CKD remains the largest study of coronary angiography in patients with advanced CKD (eGFR ≤30 ml/min per 1.73 m2), enrolling 777 patients, including 415 receiving dialysis.2 In patients with myocardial ischemia on stress testing, ISCHEMIA-CKD demonstrated no difference in death or nonfatal myocardial infarction between invasive and conservative strategies. However, of 194 patients listed for transplantation, only 51 received a transplant during follow-up. Consequently, any post hoc subgroup analysis is severely underpowered. In addition, only 50% of patients in the invasive arm of ISCHEMIA-CKD underwent revascularization, compared with 20% in the conservative arm. Among those undergoing angiography, only 75% had obstructive coronary artery disease. These data are consistent with long-recognized limitations of myocardial stress testing in advanced CKD and further support the need for better tools to triage potential transplant candidates for invasive assessment. The current meta-analysis included only observational studies, spanning two decades and with methodological heterogeneity, complicating interpretation. In addition, without linking screening findings to peritransplant or post-transplant outcomes, the clinical value of the detected lesions remains uncertain. Furthermore, the authors focused on conventional risk factors such as hypertension, which universally affects these patients, but did not explore other relevant factors such as dialysis status or CKD duration. While their results are consistent with a small retrospective study (n=197) showing no difference in post-transplant cardiovascular outcomes between patients who did or did not undergo pretransplant angiography, only 19% (n=22) of those who had angiography received revascularization.3 Overall, there remain few data defining the optimal cardiovascular screening strategy in patients assessed for kidney transplantation. While the Canadian-Australasian Randomised trial of Screening Kidney transplant candidates for Coronary Artery Disease trial will examine the role of repeat screening in waitlisted patients, it will not address whether screening at point of assessment improves outcomes.4 Future randomized controlled trials of cardiovascular risk screening tools incorporating hard clinical end points are needed to answer this question. In the absence of such trials, transplant programs must recognize that current widespread screening practices may offer limited benefit while imposing substantial delays and procedural risks.
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 | 0,013 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,010 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 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 ».