The clinical significance assessment of the transverse lymph node metastasis in gastric cancer: The establishment and validation of nomogram from a single clinical medical center.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
환자: lymph node metastasis (LNM) who underwent R0 gastrectomy was included in this study
I · Intervention 중재 / 시술
R0 gastrectomy was included in this study
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
DCA (Decision Curve Analyses) analyses indicated the high clinical utility. [CONCLUSION] These nomograms offer precise survival and TLNM occurrence predictions, which may aid clinical decisions.
[BACKGROUND] Lymph node metastasis is an important route for gastric cancer metastasis.
- p-value P < 0.001
APA
Zhang Y, Zhao F, et al. (2025). The clinical significance assessment of the transverse lymph node metastasis in gastric cancer: The establishment and validation of nomogram from a single clinical medical center.. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, 57(1), 125-133. https://doi.org/10.1016/j.dld.2024.07.014
MLA
Zhang Y, et al.. "The clinical significance assessment of the transverse lymph node metastasis in gastric cancer: The establishment and validation of nomogram from a single clinical medical center.." Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, vol. 57, no. 1, 2025, pp. 125-133.
PMID
39034188 ↗
Abstract 한글 요약
[BACKGROUND] Lymph node metastasis is an important route for gastric cancer metastasis. The clinical significance of transverse lymph node metastasis (TLNM) is still unclear.
[AIMS] This study investigates effects of TLNM on the prognosis of GC patients and establishes two nomograms for evaluating the prognosis of GC patients and for predicting the risk clinicopathological factors to TLNM based on a Chinese medical database.
[METHODS] A total of 902 GC patients with lymph node metastasis (LNM) who underwent R0 gastrectomy was included in this study. According to results of Cox proportional hazards analyses and logistic regression analyses, the prognostic and the predictive nomograms were established and validated.
[RESULTS] The overall survival of patients with TLNM was significantly worse than those without TLNM (P < 0.001) and similar to patients with extra-gastric LNM (P > 0.05). TLNM independently influenced prognosis of GC patients. Prognostic and predictive nomograms were established and validated. Both nomograms were proven that have high accuracy by calculating each AUC (Area Under Cure) value. Calibration curves aligned well with actual outcomes. DCA (Decision Curve Analyses) analyses indicated the high clinical utility.
[CONCLUSION] These nomograms offer precise survival and TLNM occurrence predictions, which may aid clinical decisions.
[AIMS] This study investigates effects of TLNM on the prognosis of GC patients and establishes two nomograms for evaluating the prognosis of GC patients and for predicting the risk clinicopathological factors to TLNM based on a Chinese medical database.
[METHODS] A total of 902 GC patients with lymph node metastasis (LNM) who underwent R0 gastrectomy was included in this study. According to results of Cox proportional hazards analyses and logistic regression analyses, the prognostic and the predictive nomograms were established and validated.
[RESULTS] The overall survival of patients with TLNM was significantly worse than those without TLNM (P < 0.001) and similar to patients with extra-gastric LNM (P > 0.05). TLNM independently influenced prognosis of GC patients. Prognostic and predictive nomograms were established and validated. Both nomograms were proven that have high accuracy by calculating each AUC (Area Under Cure) value. Calibration curves aligned well with actual outcomes. DCA (Decision Curve Analyses) analyses indicated the high clinical utility.
[CONCLUSION] These nomograms offer precise survival and TLNM occurrence predictions, which may aid clinical decisions.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
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