Objective To assess the prognostic value of platelet-to-lymphocyte ratio (PLR) in small cell lung cancer (SCLC). Methods We searched PubMed, OVID, Cochrane Library, Wanfang database, China National Knowledge Infrastructure, and CQVIP database to obtain relevant literature published up to January 2022. We screened the literature, extracted data and evaluated the quality according to the inclusion and exclusion criteria, and then performed a meta-analysis by using the hazard risk (HR) and 95% confidence interval (CI) to assess the prognostic value of PLR. Results A total of 4261 patients with SCLC were included in 15 eligible studies. The results showed that high pretreatment PLR was negatively associated with overall survival (OS) [HR=1.311, 95%CI (1.125, 1.527), P=0.001], but not with progression-free survival (PFS) [HR=1.112, 95%CI (0.966, 1.280), P=0.139]. Subgroup analyses showed that high PLR had prognostic value in patients with limited period and limited period + extensive phase SCLC [limited period: HR=1.556, 95%CI (1.327, 1.824), P<0.001; limited period + extensive phase: HR=1.245, 95%CI (1.043, 1.486), P=0.015]; when the cut-off value of PLR was less than 150, the result was significant for patients with SCLC [HR=1.420, 95%CI (1.235, 1.631), P<0.001]; regardless of race, PLR had prognostic value in SCLC patients [Caucasian: HR=1.528, 95%CI (1.181, 1.976), P<0.001; Asian: HR=1.283, 95%CI (1.085, 1.517), P=0.004]. Conclusions High pretreatment PLR may be related to the poor prognosis of SCLC, especially limited period SCLC. PLR could be a prognostic factor in SCLC, but more larger-sample studies are still needed to verify that.
ObjectiveTo observe the correlation between blood cell-related inflammatory markers and diabetic retinopathy (DR). MethodsA cross-sectional study. From June 2020 to February 2022, the phase Ⅰ data of Beichen Eye Study in Tianjin Medical University Eye Hospital were included in the study. The research contents included questionnaires, routine systemic and ocular examinations, and laboratory blood cell-related indicators including mean platelet volume (MPV), platelet distribution width (PDW), neutrophils, and lymphocytes were performed. Neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) were calculated. The diagnosis and classification of DR referred to the international clinical classification standard of DR. Monocular or binocular DR was defined as DR patients. Participants were categorized into different groups based on whether they had diabetes and whether they had DR. The groups included the no-diabetes group, the diabetes without DR group, and the DR group. The Kruskal-Wallis H test was used for the comparison of quantitative data among multiple groups. Wilcoxon test was used for comparison between the two groups. The χ2 test was used to compare the categorical variables between groups. The variables was adjusted step by step, an unadjusted univariate model was built and the different parameters of the model Ⅰ, Ⅱ, Ⅲ were adjusted. The correlation between MPV, PDW, NLR, PLR, and DR in different models was analyzed by logistic regression. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficacy of different NLR models for DR. ResultsA total of 3 328 subjects were recruited. Among them, 1 121 (33.68 %, 1 121/3 328) were males and 2 207 (66.32 %, 2 207/3 328) were females. The median age of the included participants was 61.84 (6.05) years. The no-diabetes group, the diabetes without DR group, and the DR group were 2 679, 476, and 173, respectively. There was no significant difference in MPV and PLR among the three groups (H=5.98, 1.94; P=0.051, 0.379). However, compared with no-diabetes group and the diabetes without DR group, PDW and NLR in the DR group showed an upward trend. In model Ⅲ with completely adjusted related factors, NLR was an independent risk factor for DR in no-diabetes group and DR group [odds ratio (OR)=1.440, 95% confidence interval (CI) 1.087-1.920, P=0.041], diabetes without DR group and DR group [OR=1.990, 95% CI 1.440-2.749, P＜0.001]. The results of ROC curve analysis showed that the diagnostic efficiency of NLR model Ⅲ was the highest, the area under the curve was 0.751 (95%CI 0.706-0.796, P＜0.001), the optimal cutoff value was 0.390, and the sensitivity and specificity were 74.3% and 64.8%, respectively. ConclusionsThe NLR of the DR group is significantly higher than that of the no-diabetes group and diabetes without DR group. NLR is an independent risk factor for DR.