ArticleJGH open : an open access journal of gastroenterology and hepatology2022
Predictors of colorectal carcinoma and inflammatory bowel disease in patients with colonic wall thickening.
Article in JGH open : an open access journal of gastroenterology and hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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, 3 citations in OpenAlex.
- Development and internal validation of a nomogram to predict colorectal cancer risk in patients with diverticulitis.International journal of colorectal disease · 2026Article
- Association Between Bowel Wall Thickening and Long-Term Outcomes in Decompensated Liver Cirrhosis.Advances in therapy · 2024Article
- Development and Validation of a Radiomics Nomogram for Liver Metastases Originating from Gastric and Colorectal Cancer.Diagnostics (Basel, Switzerland) · 2023Article
- Combined SUVmax and localized colonic wall thickening parameters to identify high-risk lesions from incidental focal colorectalFrontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aim: Colonic wall thickening (CWT) is commonly associated with clinically significant pathologies, but predictive factors of such pathologies are not well known. This study aims to identify the predictors of clinically significant pathologies, such as colorectal carcinoma (CRC) and inflammatory bowel disease (IBD), in patients with CWT. Methods: Subjects with an abnormal abdominal computed tomography (CT) and a follow-up colonoscopy between 2010 and 2020 were retrospectively reviewed. Patients with CWT in the CT were included and examined in this study. A multivariable logistic regression analysis was performed to assess for factors independently associated with CRC or IBD in these subjects. Receiver operating characteristic (ROC) curve analysis was used to further examine significant parameters in multivariable logistic regression analysis. Results: Among 403 patients with CWT on CT scans who underwent a colonoscopy, 269 subjects who met the inclusion criteria were identified and studied. On multivariable logistic regression models, elevated platelet count, low hematocrit, and localized CWT were found to be independently associated with CRC, while elevated platelet count and younger age were independently associated with IBD. On ROC curve analysis for CRC, area under the curve (AUC) for hematocrit, platelets, and localized CWT was 0.76, 0.75, and 0.61, respectively. On ROC curve analysis for IBD, AUC for age and platelets was 0.90 and 0.69, respectively. Conclusion: Elevated platelet count, low hematocrit, and localized CWT can be potentially used as predictors of CRC in patients with CWT. Elevated platelet count and young age can be used to predict IBD in these patients.
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Registered trials
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