ObjectiveTo explore the relation of preoperative red blood cell distribution width (RDW) with prognosis in esophageal cancer.MethodsThe PubMed, EMbase, Web of Science, Cochrane Library, VIP, Wanfang, CNKI and SinoMed databases were searched to identify potential studies assessing the correlation between preoperative RDW and prognosis of esophageal cancer patients from establishment of databases to February 2019. The endpoint events included the overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS). The Stata 12.0 software was applied for the meta-analysis and the hazard ratio (HR) and 95% confidence interval (CI) were calculated.ResultsA total of 10 retrospective studies involving 4 260 esophageal cancer patients from China or Japan were included. The score of Newcastle-Ottawa scale (NOS) of the included studies was more than 6 points. The results demonstrated that elevated preoperative RDW was significantly associated with poor CSS (HR=1.50, 95% CI 1.14 to 1.99, P=0.004) and DFS (HR=1.45, 95% CI 1.14 to 1.85, P=0.002), while no significant association between preoperative RDW and OS in esophageal cancer was observed (HR=1.17, 95% CI 0.95 to 1.45, P=0.143). Subgroup analysis based on the pathology revealed that preoperative RDW had high prognostic value in esophageal squamous carcinoma (ESCC) (HR=1.37, 95% CI 1.05 to 1.77, P=0.018).ConclusionPreoperative RDW may be an independent prognostic factor for Chinese and Japanese esophageal cancer patients, especially for ESCC patients. However, more prospective studies with bigger sample sizes from other countries are still needed to verify our findings.
ObjectiveTo investigate the predictive value of preoperative red blood cell distribution width to platelet count ratio (RPR) and platelet-albumin-bilirubin (PALBI) scoring for postoperative complications after radical resection of hepatic alveolar echinococcosis (HAE). MethodsAccording to the inclusion and exclusion criteria, the clinicopathologic data of patients diagnosed with HAE and underwent radical hepatectomy in the Affiliated Hospital of Qinghai University from January 2018 to October 2022 were retrospectively collected. The risk factors affecting postoperative complications after radical hepatectomy for HAE were analyzed by univariate and multivariate unconditional logistic regression analysis, which were used to construct the nomogram. The receiver operating characteristic curve was used to evaluate the value in predicting postoperative complications by nomogram model. The discrimination of the nomogram was evaluated using Bootstrap internal 1 000 resampling and evaluated using a consistency index. The predicted postoperative complications probability by nomogram and actual postoperative complications probability were calculated by Kaplan-Meier method, and the calibration curve was drawn. The calibration ability of the nomogram model was evaluated by Hosmer-Lemeshow goodness-of-fit test. The decision curve analysis was used to evaluate clinical benefit of the nomogram model. ResultsA total of 160 patients with HAE radical hepatectomy were included, of which 105 had no postoperative complications and 55 had postoperative complications. The multivariate unconditional logistic regression analysis showed that the operation time ≥207 min, intraoperative bleeding ≥650 mL, and albumin ＜38 g/L, RPR ≥0.054, and higher PALBI grading (3 levels) were the risk factors affecting postoperative complications after HAE radical hepatectomy (OR＞1, P<0.05). Based on the risk factors, the nomogram was constructed. The area under the receiver operating characteristic curve (95%CI) predicted by the nomogram for the postoperative complications was 0.873 (0.808, 0.937), with an optimal cutoff value of 0.499. The consistency index was 0.855 for discriminating postoperative complications after HAE radical hepatectomy. The calibration curve was tested by Hosmer-Limeshow and showed a good fit between the predicted curve by the nomogram and actual curve (χ2=3.193, P=0.367), indicating that the nomogram had a good calibration ability. The decision curve analysis showed that there was a good clinical applicability within the range of 11% to 93% of the threshold probability. ConclusionsThe preoperative RPR and PALBI scoring are risk factors affecting postoperative complications after radical hepatectomy for HAE. The nomogram constructed with risk factors including RPR and PALBI has a good predictive value for postoperative complications after radical hepatectomy for HAE.