ArticleBMC anesthesiology2026
A postoperative dynamic nomogram for predicting myocardial injury after noncardiac surgery in high-risk patients undergoing laparoscopic colorectal cancer resection.
Article in BMC anesthesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundMyocardial injury after noncardiac surgery (MINS) is closely associated with perioperative cardiovascular events and is a critical complication leading to poor prognosis. This study aimed to develop a nomogram model to predict the risk of MINS in high-risk patients undergoing colorectal cancer surgery, which can be applied immediately after surgery to guide postoperative troponin monitoring and individualized intervention.
methodsThis study retrospectively included 358 patients at high cardiovascular risk who underwent laparoscopic colorectal cancer surgery from August 2021 to January 2023. They were assigned randomly to training and validation cohorts in a 7:3 ratio. After univariate analysis and multicollinearity assessment, multivariable logistic regression identified independent predictors associated with MINS in the training cohort, and nomogram prediction models were constructed. The nomogram model's discrimination, calibration, and clinical validity in the training and validation cohorts were evaluated and validated.
resultsAge, preoperative hemoglobin, preoperative high-sensitivity troponin T (hs‑cTnT), and the Surgical Apgar Score (SAS) were identified as independent predictors. The AUC (C‑index) of the nomogram constructed from these four predictors was 0.884 (95% CI: 0.831-0.937) and 0.853 (95% CI: 0.729-0.977) in the training and validation cohorts, respectively. Decision curve analysis indicated favorable clinical utility, with a positive net benefit across a wide range of threshold probabilities including the recommended 20% risk threshold.
conclusionA postoperative dynamic nomogram based on preoperative and intraoperative variables provides a simple, practical tool for predicting MINS risk in high-risk patients undergoing colorectal cancer surgery. The model showed favorable discriminative ability and calibration upon internal validation, but prospective external validation is needed before clinical implementation.
trial registrationThe study was registered with the Chinese Clinical Trial Registry (ChiCTR2200065961, 20/11/2022).
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.