ArticleInternational journal of colorectal disease2025
Nomogram predicting short- and long-term outcomes in colon cancer based on CT body composition.
Article in International journal of colorectal disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe investigated the relationship between sarcopenia (low skeletal muscle index, SMI) and myosteatosis (high intermuscular adipose tissue, IMAT) accompanied by post-surgical adverse events and recurrence-free survival (RFS) in patients with colon cancer (CC) undergoing radical resection.
methodsThis retrospective study included 475 patients from the Affiliated Hospital of Qingdao University (original cohort) and 209 patients from Weihai Central Hospital Affiliated to Qingdao University (validation cohort) with CC who underwent radical surgical resection. Cox proportional hazards and logistic regression models were used to analyze the correlation between body composition and postoperative complications, as well as RFS. A nomogram was developed based on independent predictors of RFS, and its performance was evaluated.
resultThe original cohort comprised 475 patients (272 males, 203 females; mean age 64.8 ± 11.9 years). Postoperative complications occurred in 85 patients (17.8%). Multivariate analysis revealed low SMI (P = 0.025) and hypoalbuminemia (P = 0.048) were independent risk variables for these complications. The median follow-up was 51 months (IQR, 37.5-62.25). Low IMAT (HR 2.919, 95% CI: 1.423-5.985, P = 0.003) and high SMI (HR 0.450, 95% CI: 0.247-0.821, P = 0.009) were independent prognostic variables for RFS. Considering the original cohort, the AUCs for 1-, 3-, and 5-year RFS were 0.885, 0.867, and 0.868, and for the validation cohort, the AUCs for 1-, 3-, and 5-year RFS were 0.784, 0.817, and 0.897. The nomogram demonstrated strong predictive performance for RFS.
conclusionSarcopenia is a standalone predictor for postoperative complications and RFS in patients with CC, whereas myosteatosis independently predicts RFS. The nomogram provides valuable support for clinical decision-making and holds the potential to improve patient outcomes.
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.