ArticleBMC surgery2025
A scoring system based on the presence of preoperative sarcopenia predicts the long-term outcomes of patients treated with radical resection for obstructive colorectal cancer.
Article in BMC surgery, 2025. 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
8 authors.
Funding
Abstract
Background Obstructive colorectal cancer (OCRC) mostly accompanied with nutritional deficiencies and severe local inflammation that deteriorated sarcopenia, negatively impact on the long-term survival. Although sarcopenia has been investigated in other malignancies, its prognostic role in OCRC remains poorly characterized. Here, we sought to construct a preoperative prognostic model that integrates sarcopenia status with clinical features to improve prediction of predicting 3-year overall survival (OS) and disease-free survival (DFS) in OCRC patients. Methods We retrospectively reviewed the records of 109 patients who underwent curative resection for OCRC. Skeletal muscle index (SMI) was quantified from preoperative CT scans, and the optimal thresholds for diagnosing sarcopenia was determined using X-tile software. Cox proportional hazards models were applied to determine prognostic factors, which were integrated into a composite risk score. The predictive accuracy of the scoring system was assessed using the area under the receiver operating characteristic (ROC) curve (AUC). Results Among the cohort, 49 (45.0%) were diagnosed with sarcopenia. Sarcopenia significantly correlated with poorer OS and DFS and was independently associated with worse outcomes in multivariable analysis (OS: Hazard ratio [HR] = 2.034, 95% confidence interval [CI] 1.810–3.800, p = 0.026; DFS: HR = 1.811, CI 1.011–3.245, p = 0.046). The final model, incorporating sarcopenia, cT stage, and serum CEA level, effectively separated patients into subgroups with distinct survival outcomes. Forest plot analysis using the Cox proportional hazards model demonstrated the high-risk group exhibited significantly elevated risks compared to the low-risk group, with hazard ratios of 7.098 (95% CI 2.390–21.078, P < 0.001) for OS and 9.385 (95% CI 2.783–31.643, P < 0.001) for DFS. The scoring system achieved acceptable predictive performance, with AUCs of 0.736 for OS and 0.708 for DFS. Conclusions Preoperative sarcopenia was shown to negatively influence postoperative survival in OCRC patients. A prognostic scoring system incorporating preoperative sarcopenia, cT stage, and CEA level provided reliable prognostic stratification and may assist in individualized risk assessment and clinical decision-making.
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.