Observational studyPeerJ2025
Survival predictors of lung cancer patients in ICU: the importance of acute kidney injury prediction and prevention.
Observational study in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
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Who cites it
2 citing papers in PubMed.
- Construction and validation of a machine learning-based prediction model for in-hospital acute kidney injury in patients with lung cancer complicated with sepsis: clinical and nursing applications.Journal of thoracic disease · 2026Article
- When and for Whom Does Intensive Care Unit Admission Change the Prognosis in Oncology?-A Scoping Review.Cancers · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To identify potential predictors of short-term survival among patients with lung cancer admitted to the intensive care unit (ICU). Methods: A multicenter longitudinal observational study of patients with lung cancer was conducted between May 10, 2021 and July 10, 2021, at the ICUs of 37 cancer-specialty hospitals in China. This study included patients with a primary diagnosis of lung cancer who were admitted to the ICU for ≥24 h. Predictive factors for ICU outcomes, with 90-day survival as the major outcome, were explored using single and multivariate analyses. Results: A total of 269 patients were included in the final analysis. The 90-day mortality rate following ICU care was 45.4%. Patients with 90-day mortality exhibited more severe conditions before admission, a higher number of ICU-related complications, and underwent more intense treatment than survivors. Notably, despite the low recorded incidence, acute kidney injury (AKI) was independently associated with ICU, in-hospital, and 90-day mortality outcomes in the multivariate analysis. Furthermore, condition severity at admission and ICU treatment choices, especially anti-infection regimen, were identified as potential correlators of a higher AKI risk. Conclusion: AKI prediction and prevention may require prioritization in patients with lung cancer admitted in the ICU.
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