ArticleTranslational cancer research2025
Development of a prognostic nomogram and risk factor analysis for survival in
Article in Translational cancer research, 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
No grant is acknowledged in the PubMed record.
Abstract
Background: Currently, there is limited research on the prognosis and influencing factors of non-cardia gastric adenocarcinoma (NCGAC) patients. This study aims to explore the factors influencing overall survival (OS) in Methods: We retrospectively analyzed clinicopathological data from 413 Results: Univariate Cox regression analysis was performed on the training cohort to select variables with P<0.5, including alcohol consumption, tumor size, differentiation grade, lymph node metastasis, tumor (T) stage, node (N) stage, and tumor node metastasis (TNM) stage. Multicollinearity was assessed, and covariates with VIF >4, such as lymph node metastasis, were excluded. The remaining factors were included in the multivariate Cox regression model. Significant variables (P<0.05), including alcohol consumption, differentiation grade, and T stage, were used to construct a nomogram, which showed a concordance index (C-index) of 0.727 in the training cohort and 0.728 in the validation cohort. The model's performance was validated with AUC and calibration curves (training cohort: 1-year AUC: 0.74, 3-year AUC: 0.78, 4-year AUC: 0.80; validation cohort: 1-year AUC: 0.67, 3-year AUC: 0.71, 4-year AUC: 0.72). Kaplan-Meier survival curves illustrated the impact of independent prognostic factors. Conclusions: We developed a nomogram to predict survival in
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.