title: [Appraisal of meta-analysis manuscripts on eye diseases published in Chinese journals with QUOROM statement and MOOSE guidelines].
abstract: OBJECTIVE
  To assess the standardization of meta-analyses reports on eye diseases published in Chinese journals in recent ten years.
  
  
  METHODS
  Meta-analyses manuscripts on eye diseases published in Chinese-language journals from January 2000 to September 2010 were retrieved through the following databases: Wanfang Data, VIP Information, CNKI and Chinese Bio-medicine Database, along with manual database search. The manuscripts translated from foreign-language meta-analyses reports or repetitive publications were excluded. All enrolled manuscripts were then analyzed item by item according to the checklist of QUOROM statement and MOOSE guidelines.
  
  
  RESULTS
  50 manuscripts were finally enrolled into the present quality appraisal study, including 32 meta-analyses manuscripts of randomized control trail (RCT) studies and the other 18 meta-analyses manuscripts of observational studies. Out of the 32 manuscripts evaluated with QUOROM statement, only 8 (25.0%) manuscripts included flow chat describing the process of selection, 18 (56.3%) manuscripts included sensitivity analyses and 9 (28.1%) included bias evaluation part. Out of the 18 manuscripts evaluated with MOOSE guidelines, only 6 (33.3%) included comprehensive relative literatures search strategy, 4 (22.2%) included sensitivity analyses and 8 (44.4%) included bias evaluation section.
  
  
  CONCLUSIONS
  The standardization of meta-analyses reports on eye diseases published in Chinese journals needs to be improved.
authors.affiliation: Department of Ophthalmology, Shanghai Jiaotong University, Shanghai, China.
authors.forename: Ming-ming
authors.initials: MM
authors.lastname: Zhu
authors.forename: Hai-dong
authors.initials: HD
authors.lastname: Zou
mesh_terms: D015201:Meta-Analysis as Topic; D009885:Ophthalmology / Q000706:statistics & numerical data*; D010506:Periodicals as Topic / Q000592:standards / Q000706:statistics & numerical data*