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BACKGROUND: This research aimed to investigate the prognostic factors of oral squamous cell carcinoma (OSCC), especially the role of age. METHODS: A total of 33,619 cases of OSCC were received from the Surveillance, Epidemiology, and End Results (SEER) database during 2005-2015. Kaplan-Meier curves of 5-year overall survival rates and 5-year cancer-specific survival rates were performed, and univariate and multivariate Cox regression analyses as well as competing risk model were used to help understand the relationship between various factors and mortality of OSCC. RESULTS: Compared to 18-39-year-old group, the older age was an important predictor of worse prognosis. The multivariate analysis of overall survival (OS) was 50-59 years (HR, 1.32; 95% CI 1.17-1.48; p ≤ .001), 60-69 years (HR, 1.66; 95% CI 1.42-1.87; p ≤ .001) and 70 + years (HR, 3.21; 95% CI 2.86-3.62; p ≤ .001), respectively, while the specific value of competing risk model was 60-69 years (HR, 1.21; 95% CI 1.07-1.38; p = .002) and 70 + years (HR, 1.85; 95% CI 1.63-2.10; p ≤ .001). In addition, female gender, unmarried, Blacks, tumor in floor of mouth, size and higher Tumor Node Metastasis (TNM) classification were also other predictors that signify significant clinically deterioration of OS/cancer-specific survival (CSS). CONCLUSIONS: Our research revealed that age was an important factor in explaining the difference of survival in the whole process of OSCC. It is suggested that we should pay attention to the influence of age on diagnosis, treatment and prognosis in the clinical process.
Asunto(s)
Carcinoma de Células Escamosas , Neoplasias de Cabeza y Cuello , Neoplasias de la Boca , Humanos , Femenino , Carcinoma de Células Escamosas/epidemiología , Carcinoma de Células Escamosas/patología , Carcinoma de Células Escamosas de Cabeza y Cuello , Neoplasias de la Boca/epidemiología , Neoplasias de la Boca/patología , Análisis de Supervivencia , Pronóstico , Tasa de SupervivenciaRESUMEN
Background: Researches on noncancer causes of death in patients with esophageal cancer (EC) are not in-depth. The objective of this paper is to broadly and deeply explore the causes of death in patients with EC, especially noncancer causes. Methods: Information about the demographics, tumor-related characteristics, and causes of death of patients with EC who met the inclusion criteria were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Calculated standardized mortality ratio (SMR) for all causes of death at different follow-up times and performed subgroup analyses. Results: In total, 63,560 patients with EC were retrieved from the public database. And 52,503 died during the follow-up period. Most deaths were due to EC itself within 5 years after diagnosis, but over 10 years, 59% EC patients died from noncancer causes. Cardiovascular disease was the major noncancer cause of death in patients with EC, accounting for 43%. Suicide and self-injury (2%) of EC patients should not be ignored. During the 1-year follow-up period, patients with EC had statistically highest risk of death from septicemia (SMR: 7.61; 95% CI: 6.38-9.00). Within more than 10 years after EC diagnosis, more and more patients died from chronic obstructive pulmonary disease (SMR: 2.38; 95% CI: 1.79-3.10). Conclusions: Although most patients with EC still died from the cancer itself, the role of noncancer causes of death should not be underestimated. These prompt clinicians to pay more attention to the risk of death caused by these noncancer causes, which can provide relevant measures in advance to intervene.
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BACKGROUND: With a high incidence globally, deaths form gastric cancer (GC) are not rare. Early diagnosis is crucial to ameliorate its prognosis. Confocal laser endomicroscopy (CLE) and narrow band imaging (NBI) have been extensively applied in gastroscopy, particularly when it comes to the detection and management of premalignant gastric lesion. Our meta-analysis intends to appraise the diagnostic capability and compare the efficacy of NBI and CLE for focal precancerous state of gastric cancer. METHODS: We performed a literature search up to November 5, 2020 in online databases and major conferences. Two investigators assessed the methodological bias by QUADAS-2, followed by sophisticated study selection and data exaction to make a comparison between sensitivity, specificity, positive and negative likelihood values, and diagnostic odds ratio. A symmetric summary receiver-operating curve (sROC) and its area under the curve (AUC) were used to estimate threshold effect. Additionally, we evaluated the publication bias by Deeks' asymmetry test. RESULTS AND CONCLUSIONS: Four studies involved 248 patients and 526 lesions. In analysis drawn from every lesion, the NBI's pooled sensitivity and specificity were 87% (95% CI: 0.80-0.92) and 85% (95% CI: 0.75-0.91), and those of CLE were 90% (95% CI: 0.85-0.91) and 87% (95% CI: 0.83-0.91). CLE illustrated that the pooled two were slightly higher than NBI when compared at the level of every lesion. The AUC for NBI and CLE was 0.92 (0.90-0.94) and 0.95 (0.92-0.96), and there might be a threshold effect, according to the shoulder-like distribution of scatter points in the sROC. We did not find obvious publication bias in our meta-analysis.