ArticleInternational journal of colorectal disease2026
The predictive value of contrast-enhanced CT characteristics combined with composite inflammatory markers for lymph node metastasis in T1 colorectal cancer.
Article in International journal of colorectal disease, 2026. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to investigate the predictive value of contrast-enhanced computed tomography (CECT) characteristics of peritumoral lymph node (LN) combined with composite inflammatory markers in lymph node metastasis (LNM) for patients with T1 colorectal cancer (CRC), and evaluated their diagnostic efficacy.
methodsThis retrospective study included 212 patients with T1 CRC (non-LNM: n = 185; LNM: n = 27). The CECT characteristics of the peritumoral LN and inflammatory markers were analyzed. Variables with statistical significance were included in penalized logistic regression (the least absolute shrinkage and selection operator, LASSO) for further feature selection and coefficient shrinkage. The diagnostic performance of the prediction models was evaluated using the receiver operating characteristic curve. The net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to quantify the incremental predictive value between the models, and the decision curve analysis was plotted to evaluate the clinical practicability.
results27/212 (12.74%) patients had LNM. Six CECT characteristics, three inflammatory markers and six clinical pathological parameters differed significantly between the two groups (all p < 0.05). Eight non-zero coefficient variables were retained. The preoperative prediction model based on CECT characteristics and inflammatory markers had the highest AUC (AUC = 0.830), with NRI and IDI both greater than 0, and had the optimal clinical decision-making value.
conclusionsPreoperative CECT characteristics of LN and composite inflammatory markers were significantly correlated with the occurrence of LNM in T1 CRC patients. The combined model may be useful for the early identification of LNM.
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.