Trial reportWorld journal of gastroenterology2023
Development and validation of a nomogram for preoperative prediction of tumor deposits in colorectal cancer.
Trial report in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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.
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Who cites it
3 citing papers in PubMed.
- CT-Based radiomics and deep learning for the preoperative prediction of peritoneal metastasis in ovarian cancers.Abdominal radiology (New York) · 2026Article
- Development and validation of cancer-specific survival prediction nomogram for patients with T4 stage colon cancer after surgical resection: a population-based study.International journal of colorectal disease · 2025Article
- Recommendations for articles and reviews in colorectal cancer-related research at the year-end of 2023.World journal of gastroenterology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBased on the clinical data of colorectal cancer (CRC) patients who underwent surgery at our institution, a model for predicting the formation of tumor deposits (TDs) in this patient population was established.
aimTo establish an effective model for predicting TD formation, thus enabling clinicians to identify CRC patients at high risk for TDs and implement personalized treatment strategies.
methodsCRC patients (
resultsThirty-four (7.5%) patients with TDs were identified in the training cohort based on postoperative pathological specimens. Multivariate logistic regression analysis identified female sex, preoperative intestinal obstruction, left-sided CRC, and lymph node metastasis as independent risk factors for TD formation. The AUCs of the nomogram models constructed using these variables were 0.839 and 0.853 in the training and validation cohorts, respectively. The calibration curve demonstrated good consistency, and the training cohort DCA yielded a threshold probability of 7%-78%.
conclusionThis study developed and validated a nomogram with good predictive performance for identifying TDs in CRC patients. Our predictive model can assist surgeons in making optimal treatment decisions.
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Registered trials
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