ArticleiScience2026
Early postoperative acute kidney injury prediction in patients with acute type A aortic dissection.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning for the prediction of acute kidney injury post cardiac surgery: a systematic review and meta-analysis.BMC medical informatics and decision making · 2026Pooled it
- Pathological triad of perioperative acute kidney injury: renal microcirculatory hypoxia, mitochondrial damage, and immuno-metabolic reprogramming.Frontiers in immunology · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney injury (AKI) is a frequent and serious complication following surgery for acute type A aortic dissection (AAD), often leading to delayed treatment and poor outcomes. This multicenter study developed and validated a predictive nomogram for early postoperative AKI in 1,211 AAD patients. Using logistic regression, independent risk factors were identified: age, hypertension, preoperative shock, and cardiopulmonary bypass time. The model demonstrated robust performance, with area under the curve values of 0.749 and 0.753 in internal and external validation cohorts, respectively. Decision curve analysis confirmed the nomogram's clinical utility, providing superior net benefit over postoperative creatinine levels when the predicted AKI risk exceeds 50%. This tool enables early identification of high-risk patients, facilitating timely interventions to improve perioperative management and outcomes in this critical surgical population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.