ArticleCancer medicine2026
Prognostic Factors and Nomogram-Based Prediction Models for Colorectal Cancer Patients With Synchronous Peritoneal Metastasis Undergoing Cytoreductive Surgery: A Retrospective Cohort Study.
Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Development of a prognostic nomogram for colorectal cancer with peritoneal metastasis: a SEER database analysis.Translational cancer research · 2026Article
- Development and validation of prognostic nomograms for patients with cervical cancer and liver metastasis: a SEER-based study.Translational cancer research · 2026Article
- 7. Developing high-performance prediction models for medical outcomes.Journal of postgraduate medicine · 2026Review
- Prognostic Factors and Nomogram-Based Prediction Models for Colorectal Cancer Patients With Synchronous Peritoneal Metastasis Undergoing Cytoreductive Surgery: A Retrospective Cohort Study.Cancer medicine · 2026Article
- Development and external validation of a LASSO-based parsimonious nomogram for predicting BPPV recurrence: a multi-center retrospective cohort study.Frontiers in neurologyArticle
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
backgroundColorectal cancer (CRC) with synchronous peritoneal metastasis (SPM) presents poor prognosis and complex treatment challenges. This study aimed to identify independent prognostic factors and develop nomogram-based prediction models for overall survival (OS) and progression-free survival (PFS) in CRC patients with SPM (CRC-SPM) undergoing cytoreductive surgery (CRS).
methodsWe retrospectively analyzed 218 CRC-SPM treated with CRS between October 2010 and April 2022. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for OS and PFS. Nomogram models were constructed based on these factors, and their predictive accuracy was assessed using calibration curves, ROC curves, and Decision Curve Analysis (DCA).
resultsFor OS, independent factors included age > 65 years (HR = 2.464, p = 0.005), N2 stage (HR = 2.720, p = 0.005), > 13 lymph nodes resected (HR = 0.496, p = 0.018), and postoperative chemotherapy (HR = 0.300, p = 0.020). For PFS, independent factors were age > 65 years (HR = 1.578, p = 0.040), concurrent liver metastasis (HR = 1.664, p = 0.016), > 14 PCI score (HR = 1.630, p = 0.031), and presence of ascites (HR = 1.706, p = 0.011). Nomogram models for predicting OS and PFS had AUC values of 0.717, 0.759, and 0.773 for OS, and 0.659, 0.689, and 0.790 for PFS at 1, 2, and 3 years, respectively.
conclusionThis study identified key prognostic factors and developed reliable nomogram models for predicting OS and PFS in CRC-SPM. The findings highlight the importance of postoperative chemotherapy and intraoperative lymph node dissection and suggest focusing on high-risk factors such as age and N2 stage in clinical practice. The nomogram models provide a valuable tool for personalized prognosis assessment and treatment planning.
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.