ArticleAmerican journal of translational research2025
Development and validation of a postoperative hypothermia risk model for minimally invasive transurethral surgery under general anesthesia.
Article in American journal of 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.
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.
- A multicenter predictive model for inadvertent intraoperative hypothermia management in elderly patients in Southwest China.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a risk prediction model for postoperative hypothermia in patients undergoing minimally invasive transurethral surgery under general anesthesia.
methodsThis retrospective study collected data from hospital electronic medical records. The construction cohort included 1039 cases, and the validation cohort included 200 patients. Baseline characteristics and possibly significant preoperative and intraoperative factors were collected. Variables were selected using LASSO regression, followed by univariate and multivariate logistic regression to identify independent risk factors for postoperative hypothermia. A forest plot was created, and a predictive model was developed. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow test.
resultsSeven predictors were identified: age, BMI, glucocorticoid use, anesthesia medications (non-depolarizing muscarinics), bleeding > 50 ml, ASA classification, and use of intraoperative thermal blankets. In the construction cohort, AUC was 0.829 (95% CI 0.793-0.866; P < 0.001), with a sensitivity of 70.1%, specificity of 83.3%, and Youden's index of 0.541. The internal validation C-index was 0.85. In the external validation, AUC was 0.799 (95% CI 0.735-0.863; P < 0.001), with sensitivity of 72.4%, specificity of 73.9%, and Youden's index of 0.558. All Hosmer-Lemeshow tests showed P > 0.05.
conclusionThe postoperative hypothermia risk prediction model for minimally invasive transurethral surgery demonstrated excellent discrimination and calibration by both internal and external validations, providing clinical value. It may aid clinicians in early identification of high-risk patients for personalized temperature management.
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.