OBJECTIVETo determine the current status and influence factors of reporting quality of the Chinese meta-analysis on stomatology.

METHODSA comprehensive electronic search was carried out through Chinese BioMedical Literature Database (CBM), VIP Database for Chinese Technical Periodicals (VIP) and China National Knowledge Infrastructure (CNKI) and a hand searching was also performed through 19 stomatological journals in Chinese to identify meta-analysis on stomatology. Two reviewers took responsibility for study inclusion, data extraction and reporting quality assessment with preferred reporting items for systematic reviews and meta-analysis (PRISMA) in duplicate and any disagreement was resolved by discussion.

RESULTSA total of 34 meta-analysis on stomatology were eligible, most of them were on oral medicine and oral and maxillofacial surgery, and mainly focusing on etiology, prevention and treatment of oral diseases. The number of the meta-analysis increased during recent years. Reporting quality of the meta-analysis was not high and the PRISMA scored (13.6 ± 4.2). The main factors that influenced the reporting quality of meta-analysis were published on evidence-based medicine journals (adjusted β = 0.53, t = 4.15, P < 0.001) and year of publication (adjusted β = -0.44, t = -3.28, P = 0.001). The sensitivity analysis showed that this outcome was stable.

CONCLUSIONSReporting quality of the Chinese meta-analysis on stomatology is low. To provide sufficient evidence to the clinicians and promote the development of evidence-based dentistry in China, experts on stomatology should study the knowledge of evidence-based medicine and comply with PRISMA statement when producing the meta-analysis.

China ; Evidence-Based Dentistry ; Humans ; Meta-Analysis as Topic ; Oral Medicine ; Publishing ; Quality Control ; Review Literature as Topic

OBJECTIVETo establish human bronchial epithelial cell lines over expressing oncogene and to investigate its application in detection of carcinogen-induced cell transformation.

METHODSMediated by retrovirus infection, human telomerase catalytic subunit, hTERT was introduced into immortal human bronchial epithelial cells (16HBE) and followed by introduction of the oncogenic allele H-Ras(V12), or c-Myc or empty vector, creating cell lines 16HBETR, 16HBETM and 16HBETV, respectively. Biological characteristics of these cell lines including morphology, proliferation, and chromosomal aberration were examined to access whether they were transformed. Soft agar experiment and nude mice subcutaneous injection were performed using pre-transformed 16HBE cells induced by known carcinogens, nickel sulfate (NiSO4) and 7, 8, -dihydrodiol-9, 10-epoxide benzo[a] pyrene (BPDE).

RESULTSWith detection of telomerase activity and Western blotting, the expression of target proteins was verified. Thus, the transgenic 16HBE cell lines were successfully established. Cells expressing oncogene H-Ras or c-Myc grew 30.3% or 10.4% faster than control cells. However, these cells failed to form colonies in soft agar or form tumor in nude mice. 16HBETR, 16HBETM cells obtained transformed phenotype at 5 wks, 11 wks, respectively after treatment with BPDE, which are 15 wks and 9 wks earlier than control cells 16HBETV (20 wks). Meanwhile, 16HBETR, 16HBETM cells obtained transformed phenotype at 11 wks, 14 wks, respectively after treatment with nickel sulfate, which are 21 wks and 18 wks earlier than control cells (32 wks).

CONCLUSIONWith the advantage of shorter latency, transgenic human cell transformation models could be used in potent carcinogen screening and applied to chemical-carcinogenesis mechanism study.

7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide ; toxicity ; Animals ; Carcinogenicity Tests ; Cell Line ; Cell Transformation, Neoplastic ; drug effects ; metabolism ; pathology ; Epithelial Cells ; Gene Expression ; Gene Expression Regulation ; Genes, myc ; Genes, ras ; Humans ; Mice ; Mice, Inbred BALB C ; Mice, Nude

In this paper, the potential distribution information and ecological suitability regionalization for Gastrodia elata in Zhaotong were studied based on the climate, terrain, soil and vegetation factors analysis by Maxent and ArcGIS. The results showed that the highly potential distribution (suitability index>0.6) mainly located in Zhaotong, Yunnan province（Zhenxiong,Yiliang and Daguan county, with an area of 2 872 km²）, and Bijie, Guizhou province （Hezhang,Bijie,Weining county, 1 251 km²）. The AUC of ROC curve was above 0.99, indicating that the predictive results with the Maxent model were highly precise. The main ecological factors determining the potential distribution were the altitude, average rainfall in November, average rainfall in October, vegetation types, average rainfall in March, average rainfall in April,soil types,isothermal characteristic and average rainfall in June. The environmental variables in the highly potential areas were determined as altitude around 1 450-2 200 m,annual average temperature around 18.0-20.4 ℃,annual average precipitation around 900 mm,yellow soil or yellow brown soil,and acid sandy loam or slightly acidic sandy loam.The results will provide valuable references for plantation regionalization and the siting for imitation wild planting of G. elata in Zhaotong.

Objective To investigate the relationship between the expression of glutathione peroxidase(GPX)genes and the clinical prognosis in glioma patients,and to construct and evaluate the model for predicting the prognosis of glioma. Methods The clinical information and GPX expression of 663 patients,including 153 patients of glioblastoma(GBM)and 510 patients of low-grade glioma(LGG),were obtained from The Cancer Genome Atlas(TCGA)database.The relationship between GPX expression and patient survival was analyzed.The key GPX affecting the prognosis of glioma was screened out by single- and multi-factor Cox's proportional-hazards regression models and validated by least absolute shrinkage and selection operator(Lasso)regression.Finally,we constructed the model for predicting the prognosis of glioma with the screening results and then used concordance index and calibration curve respectively to evaluate the discrimination and calibration of model. Results Compared with those in the control group,the expression levels of GPX1,GPX3,GPX4,GPX7,and GPX8 were up-regulated in glioma patients(all P<0.001).Moreover,the expression levels of other GPX except GPX3 were higher in GBM patients than in LGG patients(all P<0.001).The Kaplan-Meier curves showed that the progression-free survival of GBM with high expression of GPX1(P=0.013)and GPX4(P=0.040),as well as the overall survival,disease-specific survival,and progression-free survival of LGG with high expression of GPX1,GPX7,and GPX8,was shortened(all P<0.001).GPX7 and GPX8 were screened out as the key factors affecting the prognosis of LGG.The results were further used to construct a nomogram model,which suggested GPX7 was the most important variable.The concordance index of the model was 0.843(95%CI=0.809-0.853),and the calibration curve showed that the predicted and actual results had good consistency. Conclusion GPX7 is an independent risk factor affecting the prognosis of LGG,and the nomogram model constructed with it can be used to predict the survival rate of LGG.
Brain Neoplasms ; Glioblastoma ; Glioma/diagnosis* ; Glutathione Peroxidase/metabolism* ; Humans ; Peroxidases ; Prognosis ; Proportional Hazards Models