Risk analysis of cardiovascular mortality after gastric cancer diagnosis: a large population-based study.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
857 patients with local/regional GC, and 76 (0.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Our study demonstrated the dynamic trend of cardiovascular death in GC patients, and identified prognostic risk predictors, highlighting the importance cardio-oncology teams in offering comprehensive care and long-term follow-up for GC patients.
[BACKGROUND] The increasing prevalence of cardiovascular mortality is becoming a significant worry for individuals who have survived cancer.
- 95% CI 4.356-10.006
- HR 6.602
APA
Zhao Q, Zhou Q, et al. (2025). Risk analysis of cardiovascular mortality after gastric cancer diagnosis: a large population-based study.. Frontiers in cardiovascular medicine, 12, 1459151. https://doi.org/10.3389/fcvm.2025.1459151
MLA
Zhao Q, et al.. "Risk analysis of cardiovascular mortality after gastric cancer diagnosis: a large population-based study.." Frontiers in cardiovascular medicine, vol. 12, 2025, pp. 1459151.
PMID
40329966
Abstract
[BACKGROUND] The increasing prevalence of cardiovascular mortality is becoming a significant worry for individuals who have survived cancer. The aim of this study is to investigate the dynamic trend of cardiovascular death in patients with gastric cancer (GC) and identify the risk factors associated with cardiovascular disease (CVD)-specific mortality in non-metastatic GC patients.
[METHODS] In the present study, 29,324 eligible patients diagnosed with primary GC were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Standardized mortality ratios (SMRs) adjusted by age, gender, calendar year, and race were calculated. Fine-Gray's competing risk models were taken to identify the prognostic factors of cardiovascular death in GC patients.
[RESULTS] There were 1083 (5.2%) cardiovascular deaths among 20,857 patients with local/regional GC, and 76 (0.9%) cardiovascular deaths among 8,467 patients with metastatic GC. The SMRs of CVD-specific mortality continuously increased since the 1975s throughout the 2015s. The competing risk models showed that age (>75 years vs. 0-50 years, HR: 6.602, 95% CI: 4.356-10.006), T stage (T4 vs. T1, HR:0.524, 95% CI: 0.370-0.741), N stage (N3 vs. N0, HR: 0.557, 95% CI: 0.343-0.903), surgery (Yes vs. No, HR: 0.551, 95% CI: 0.461-0.659), and radiotherapy (Yes vs. No, HR: 1.011, 95% CI: 1.011-1.437) were predictive of CVD-specific mortality. Furthermore, based on the results of the competing risk analyses, a nomogram was constructed to predict the probability of CVD-specific mortality for local/regional GC patients.
[CONCLUSION] Our study demonstrated the dynamic trend of cardiovascular death in GC patients, and identified prognostic risk predictors, highlighting the importance cardio-oncology teams in offering comprehensive care and long-term follow-up for GC patients.
[METHODS] In the present study, 29,324 eligible patients diagnosed with primary GC were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Standardized mortality ratios (SMRs) adjusted by age, gender, calendar year, and race were calculated. Fine-Gray's competing risk models were taken to identify the prognostic factors of cardiovascular death in GC patients.
[RESULTS] There were 1083 (5.2%) cardiovascular deaths among 20,857 patients with local/regional GC, and 76 (0.9%) cardiovascular deaths among 8,467 patients with metastatic GC. The SMRs of CVD-specific mortality continuously increased since the 1975s throughout the 2015s. The competing risk models showed that age (>75 years vs. 0-50 years, HR: 6.602, 95% CI: 4.356-10.006), T stage (T4 vs. T1, HR:0.524, 95% CI: 0.370-0.741), N stage (N3 vs. N0, HR: 0.557, 95% CI: 0.343-0.903), surgery (Yes vs. No, HR: 0.551, 95% CI: 0.461-0.659), and radiotherapy (Yes vs. No, HR: 1.011, 95% CI: 1.011-1.437) were predictive of CVD-specific mortality. Furthermore, based on the results of the competing risk analyses, a nomogram was constructed to predict the probability of CVD-specific mortality for local/regional GC patients.
[CONCLUSION] Our study demonstrated the dynamic trend of cardiovascular death in GC patients, and identified prognostic risk predictors, highlighting the importance cardio-oncology teams in offering comprehensive care and long-term follow-up for GC patients.
같은 제1저자의 인용 많은 논문 (5)
- Sintilimab-induced toxic epidermal necrolysis complicated in advanced gastric cancer: a case report and literature review.
- CDKN3 promoted triple-negative breast cancer by inhibiting ferroptosis through the upregulation of HSP90.
- Tumor PD-L1 induces β2m ubiquitylation and degradation for cancer cell immune evasion.
- Circ-0030167/IGF2BP1 Induces Mitophagy-Mediated Ferroptosis via HMOX1 mRNA Stabilization in Pancreatic Cancer.
- Contrast-Enhanced CT Shell Features and Deep Learning for Predicting Early Transarterial Chemoembolization Refractoriness in Hepatocellular Carcinoma.