ArticleJournal of cardiovascular translational research2025
Development of a Nomogram Model to Predict the Risk of Postoperative Delirium in Cardiac Surgery Patients.
Article in Journal of cardiovascular translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Subsyndromal Delirium in Elderly Critical Care Patients: A Meta-Analysis of Prevalence and Risk Factors.Geriatrics & gerontology international · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Postoperative delirium (POD) is a common and severe complication following cardiac surgery, with an incidence of about 65% in older patients. This study aimed to develop a predictive model for POD in patients aged ≥ 18 years, to enhance early detection and intervention. A retrospective analysis was performed on the data collected from 825 patients who underwent cardiac surgery at Nanjing First Hospital (May 2021-July 2022). POD was diagnosed using the Confusion Assessment Method for the ICU (CAM-ICU). We used LASSO regression and multivariate logistic regression to identify key predictors for the nomogram. The incidence of POD was 23.6%, with significant predictors including head CT findings, hyperlactatemia before extubation, APACHE II score, ASA score, and length of hospital stay. The model demonstrated strong predictive ability (AUC: 0.922 training, 0.896 validation). A web-based calculator ( https://baozexiang.shinyapps.io/dynnomapp/ ) was developed to enhance clinical risk assessment and patient outcomes.
Indexed as
Identifiers
40553381What Socratic 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 Socratic graph.