ArticleSurgical endoscopy2026
Development and validation of a prognostic model for the occurrence of parastomal hernia in patients undergoing permanent colostomy based on various computed tomography indices.
Article in Surgical endoscopy, 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
12 authors.
Funding
Abstract
backgroundParastomal hernia (PSH) is the most common long-term complication of stoma creation during rectal resection, impacting the patients' quality of life to some degree. However, current clinical practice lacks accurate tools for predicting the occurrence of PSH. The present study aimed to develop a nomogram that could predict the occurrence of PSH in patients undergoing permanent colostomy during surgery for rectal cancer.
methodsThis study retrospectively enrolled a total of 430 eligible patients. The preliminary selection of predictive factors was performed using the Least Absolute Shrinkage and Selection Operator analysis. Subsequently, a predictive model was constructed using multivariable logistic regression and presented in the form of a nomogram. The nomogram's value was evaluated using receiver-operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Internal validation was conducted by evaluating the model's performance on a validation cohort.
resultsAltogether, 133 cases (30.9%) were diagnosed with PSH. The diagnostic model incorporated seven factors, including elderly patients (age ≥ 65 years, odds ratio [OR]: 2.51; 95% confidence interval [CI]: 1.52-4.11), Female (OR: 2.43; 95% CI: 1.36-3.69), body mass index (BMI ≥ 25 kg/m
conclusionWe developed a model to predict the occurrence of PSH in patients with rectal cancer after permanent colostomy. This nomogram can help clinicians in assessing the risk of PSH occurrence in postoperative patients, thereby enabling personalized management of high-risk patients and guiding their lifestyle to improve their quality of life.
Indexed as
Identifiers
41184680What 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.