본문으로 건너뛰기
← 뒤로

Risk factors and nomogram for early mortality in young patients with non-metastatic gastric cancer.

1/5 보강
Translational cancer research 📖 저널 OA 100% 2021: 1/1 OA 2023: 10/10 OA 2024: 23/23 OA 2025: 166/166 OA 2026: 124/124 OA 2021~2026 2026 Vol.15(1) p. 34
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · 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.

Peng C, Xia T, Li T, Wei D

📝 환자 설명용 한 줄

[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.

이 논문을 인용하기

↓ .bib ↓ .ris
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

[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.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (5)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

🟢 PMC 전문 열기