ArticleLangenbeck's archives of surgery2023
Assessment of risk factors and establishment of a nomogram model to predict early high-output ileostomy.
Article in Langenbeck's archives of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Risk factors and prediction model for early high-output stoma after colorectal cancer surgery: A retrospective study.Asia-Pacific journal of oncology nursing · 2026Article
- [How do individualized stoma diets and nutritional counselling in the inpatient setting influence patient adherence and satisfaction?]Chirurgie (Heidelberg, Germany) · 2026Article
- High output stoma after surgery for rectal cancer - a risk factor for low anterior resection syndrome?BMC gastroenterology · 2025Article
- Preoperative risk factors for ileostomy-associated kidney injury in colorectal tumor surgery following ileostomy formation.International journal of colorectal disease · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study evaluated the prevalence and perioperative risk factors for early high-output ileostomy (EHOI) and developed a precise nomogram model to predict the occurrence of EHOI.
methods140 patients who underwent ileostomy surgery at three hospitals in Wuhan, Hubei Province, between January 2022 and May 2022 were enrolled in this prospective cohort study. By using univariate and multifactorial logistic regression, independent risk variables for the development of EHOI were examined, and the nomogram model for predicting the risk of EHOI was created by using R software. The calibration curve and area under the receiver operating characteristic curve (ROC AUC) were used to evaluate the calibration and discrimination of the prediction model, Hosmer-Lemeshow to verify the fit of the model. Clinical impact curve (CIC) and decision curve analysis (DCA) were used to assess the model's clinical efficacy.
resultsA total of 132 patients participated in the study, and the incidence of EHOI was 25.8% (34/132). The nomogram model incorporated 3 risk factors hypertension, drinking habits, and high white blood cell (WBC) count after surgery. The AUC was 0.742, and the nomogram showed great calibration and clinical validity by comparing the calibration curve, DCA, and CIC.
conclusionsHypertension, drinking, and high WBC was significantly correlated with EHOI. The nomogram model has great clinical value in predicting the EHOI.
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