Risk factors and nomogram for early mortality in young patients with non-metastatic gastric cancer.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: non-metastatic gastric cancer and to develop a clinically applicable nomogram for individualized risk prediction
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Bootstrap resampling indicated good calibration, with low absolute prediction errors. [CONCLUSIONS] We have successfully developed effective nomograms to provide a reliable and practical tool for predicting early mortality and supporting clinical decision-making in young patients with non-metastatic gastric cancer.
[BACKGROUND] Accurate identification of patients at risk of early death among young, non-metastatic gastric cancer cases at initial diagnosis may assist clinicians in optimizing treatment strategies.
APA
Peng C, Xia T, et al. (2026). Risk factors and nomogram for early mortality in young patients with non-metastatic gastric cancer.. Translational cancer research, 15(1), 34. https://doi.org/10.21037/tcr-2025-1657
MLA
Peng C, et al.. "Risk factors and nomogram for early mortality in young patients with non-metastatic gastric cancer.." Translational cancer research, vol. 15, no. 1, 2026, pp. 34.
PMID
41674930 ↗
Abstract 한글 요약
[BACKGROUND] Accurate identification of patients at risk of early death among young, non-metastatic gastric cancer cases at initial diagnosis may assist clinicians in optimizing treatment strategies. This study aimed to identify risk factors associated with early mortality in young patients with non-metastatic gastric cancer and to develop a clinically applicable nomogram for individualized risk prediction.
[METHODS] Eligible patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and Sun Yat-sen University Cancer Center Gansu Hospital. Univariate and multivariate logistic regression analyses were conducted to identify independent predictors of early mortality. A nomogram was constructed based on the identified factors, and its performance was evaluated using the concordance index (C-index), receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow test, and decision curve analysis (DCA) across training, internal validation, and external validation cohorts.
[RESULTS] The results revealed that T stage, N stage, radiotherapy, marital status, surgical treatment, tumor grade, and tumor size were independent predictors of early mortality. The nomogram demonstrated good discriminative ability, with C-index values of 0.748, 0.792, and 0.758 and area under the curve (AUC) of 0.81, 0.792, and 0.757 in the respective cohorts. Bootstrap resampling indicated good calibration, with low absolute prediction errors.
[CONCLUSIONS] We have successfully developed effective nomograms to provide a reliable and practical tool for predicting early mortality and supporting clinical decision-making in young patients with non-metastatic gastric cancer.
[METHODS] Eligible patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and Sun Yat-sen University Cancer Center Gansu Hospital. Univariate and multivariate logistic regression analyses were conducted to identify independent predictors of early mortality. A nomogram was constructed based on the identified factors, and its performance was evaluated using the concordance index (C-index), receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow test, and decision curve analysis (DCA) across training, internal validation, and external validation cohorts.
[RESULTS] The results revealed that T stage, N stage, radiotherapy, marital status, surgical treatment, tumor grade, and tumor size were independent predictors of early mortality. The nomogram demonstrated good discriminative ability, with C-index values of 0.748, 0.792, and 0.758 and area under the curve (AUC) of 0.81, 0.792, and 0.757 in the respective cohorts. Bootstrap resampling indicated good calibration, with low absolute prediction errors.
[CONCLUSIONS] We have successfully developed effective nomograms to provide a reliable and practical tool for predicting early mortality and supporting clinical decision-making in young patients with non-metastatic gastric cancer.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
같은 제1저자의 인용 많은 논문 (5)
- Machine-Learning-Accelerated Design of Ternary Carrier-Free Nanomedicine for Intranasal Therapy of Brain Metastatic Non-small-cell Lung Cancer.
- ECOG 6293: Phase II Study of Raltitrexed in Advanced Colorectal Cancer.
- Sex-specific effects of gastrointestinal microbiome disruptions on Helicobacter pylori-induced gastric carcinogenesis in INS-GAS mice.
- WGCNA and single-cell analysis reveal ferroptosis-related gene signatures for hepatocellular carcinoma prognosis and therapy.
- Emerging Therapeutic Approaches to Pancreatic Adenocarcinoma: Advances and Future Directions.
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
- Advances in Targeted Therapy for Human Epidermal Growth Factor Receptor 2-Low Tumors: From Trastuzumab to Antibody-Drug Conjugates.
- Blocking SHP2 benefits FGFR2 inhibitor and overcomes its resistance in -amplified gastric cancer.
- Association of preoperative frailty and prognostic nutritional index with postoperative delirium in elderly gastric cancer patients: A single-center observational study.
- Complete response to Nivolumab-based chemotherapy in a case of advanced gastric cancer with multiple immune-related adverse events.
- Apatinib and silver nanoparticles synergize against gastric cancer through the PI3K/Akt signaling pathway-mediated ferroptosis.
- Correction: Survival disparities and predictors in gastric cancer: a population-based study from Kazakhstan (2012-2023).