ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2026
Development and validation of a neutrophil percentage to albumin ratio-based nomogram for predicting survival in patients with locally advanced gastric cancer.
Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 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
Objective: This study aimed to clarify the predictive value of the neutrophil percentage to albumin ratio (NPAR) for postoperative survival in patients with locally advanced gastric cancer (LAGC) and to develop a prognostic model on the basis of these findings. Methods: Patients with LAGC who underwent radical surgery at Peking University Cancer Hospital between June 2010 and January 2021 were retrospectively screened. Three analytical approaches, percentile classification, cutoff value analysis, and restricted cubic splines (RCS), were utilized to evaluate the association between the NPAR and 3-year disease-free survival (DFS) rates. Survival curves were generated using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were used to identify the risk factors for 3-year DFS. A novel prognostic nomogram was then constructed and validated using both internal validation (via a 7:3 random split) and temporal external validation (stratified by the surgery dates before and after December 2017). Results: A total of 348 patients were enrolled. All three analytical approaches consistently identified a high NPAR as a robust predictor of an unfavorable prognosis. Specifically, NPAR>1.70 (75th percentile) was associated with significantly lower DFS rates [hazard ratio (HR)=2.506; 95% confidence interval (95% CI): 1.964-3.198]. The optimal cutoff analysis confirmed that NPAR of 1.60 exhibited good discriminative ability (HR=3.639; 95% CI: 2.640-5.016), whereas the RCS analysis revealed a non-linear dose-response relationship between an elevated NPAR and low DFS rates. Multivariate Cox regression revealed the NPAR as an independent risk factor, along with pathological stage, differentiation type, and incomplete postoperative chemotherapy. The resulting prognostic nomogram demonstrated excellent and stable predictive performance across both internal and external temporal validation. Conclusions: The NPAR was strongly associated with 3-year DFS rates in LAGC patients. Nomogram based on the NPAR exhibits high predictive accuracy and represents a practical tool for assessing DFS in clinical practice.
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.