ArticleFrontiers in oncology2025
Nomogram model for prognosis of early colorectal cancer after endoscopic therapy: integration of intestinal microbiota and clinicopathological parameters.
Article in Frontiers in oncology, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To integrate the characteristics of intestinal flora and clinical pathological parameters in patients with early colorectal cancer, and to construct and validate a nomogram model for predicting the prognosis of endoscopic therapy. Methods: The data of 80 patients with early colorectal cancer receiving endoscopic treatment from January 2019 to June 2024 were retrospectively collected. They were randomly divided into a training set (n = 56) and a validation set (n = 24) at a ratio of 7:3. The factors related to prognosis were screened by univariate analysis and multivariate Logistic regression analysis regression, so as to construct Nomogram model, calculate C-index, and draw the calibration curve. The clinical application value of the model was evaluated using decision curve analysis (DCA). Results: There was no significant difference in the incidence of poor prognosis, intestinal flora, and clinical pathological parameters between the training set and the validation set (all Conclusion: Nomogram model based on intestinal flora and clinical pathological parameters can effectively predict the prognosis of early colorectal cancer patients after endoscopic treatment with good accuracy and reliability, which is expected to provide an important reference for the development of clinical individualized treatment plan and guide the accurate treatment and management of patients.
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.