ArticleJournal of cardiothoracic surgery2025
A risk-score prediction of postoperative acute kidney injury following lung transplantation: a retrospective cohort study.
Article in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Lung transplantation in 2025: a narrative review of progress, challenges, and the road ahead.Journal of thoracic disease · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) following lung transplantation (LTx) is correlated with high mortality rates. We aimed to establish a risk-score model for AKI prediction in LTx.
methodsWe retrospectively reviewed data from the Institutional Lung Transplant Database from 2016 to 2022. The primary endpoint was to establish a risk-score model to predict AKI. The secondary endpoint was the impact of AKI on postoperative rehabilitation and survival incidence at the 1-year follow-up.
resultsOf 415 patients, 27% (n = 112) developed AKI within 48 h after LTx. Multivariable analysis revealed that body mass index, diabetes, plasma infusion, surgical time, and postoperative extracorporeal membrane oxygenation (ECMO) assistance were risk factors for AKI. This risk score was created and calibrated based on these five factors, ranging from 0 to 16 points, with the associated prediction of postoperative AKI ranging from 3 to 99% (Hosmer-Lemeshow χ
conclusionsA risk-score model based on perioperative variables effectively predicted the risk of AKI within 48 h after LTx. This model may be useful in early decision-making regarding AKI treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.