ArticleiScience2026
Integrating nonlinear modeling with pT stage and nodal variables: A multi-center Con-pTN model for prognosis prediction in gastric cancer (pT2-4b).
Article in iScience, 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
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lymph node metastasis critically determines prognosis in gastric cancer (GC), yet conventional staging inadequately captures interactions between tumor invasion depth and nodal burden. In this retrospective multi-center study, we analyzed 2,370 patients (pT2-4b) undergoing curative gastrectomy and 724 patients with SEER to develop a contour-like pTN (Con-pTN) model using a Gaussian process-augmented Cox framework that integrates pT stage, retrieved lymph nodes, and positive lymph nodes as continuous variables. Con-pTN showed robust discrimination, with area under the curves (AUCs) of 0.797 (training), 0.804 (internal validation), 0.748 (external validation cohort 1), and 0.813 (external validation cohort 2). Calibration and decision curve analyses demonstrated good agreement with observed outcomes and favorable clinical utility. Compared with pTNM, rN, and LODDS, Con-pTN provided significantly improved prognostic stratification, particularly among high-risk patients. These findings support Con-pTN as a biologically informed, clinically applicable approach for postoperative risk assessment in GC.
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.