Meta-evaluation of meta-analysis: ten appraisal questions for biologists

被引:336
|
作者
Nakagawa, Shinichi [1 ,2 ,3 ]
Noble, Daniel W. A. [1 ,2 ]
Senior, Alistair M. [4 ,5 ]
Lagisz, Malgorzata [1 ,2 ]
机构
[1] Univ New South Wales, Evolut & Ecol Res Ctr, Sydney, NSW 2052, Australia
[2] Univ New South Wales, Sch Biol Earth & Environm Sci, Sydney, NSW 2052, Australia
[3] Garvan Inst Med Res, Diabet & Metabol Div, 384 Victoria St, Sydney, NSW 2010, Australia
[4] Univ Sydney, Charles Perkins Ctr, Sydney, NSW 2006, Australia
[5] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
基金
澳大利亚研究理事会;
关键词
Effect size; Biological importance; Non-independence; Meta-regression; Meta-research; Publication bias; Quantitative synthesis; Reporting bias; Statistical significance; Systematic review; PUBLICATION BIAS; LIFE EXTENSION; EFFECT SIZE; CUMULATIVE METAANALYSIS; ASSESSING HETEROGENEITY; SYSTEMATIC REVIEWS; RESPONSE RATIOS; TEMPORAL TRENDS; MASS-PRODUCTION; ECOLOGY;
D O I
10.1186/s12915-017-0357-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of metaanalysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using nonhuman species, which we term 'biological' metaanalysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies 'mega-enlightenment', a 'mega-mistake', or something in between.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Meta-evaluation: Evaluation of evaluations some points for discussion
    Horvat, M
    [J]. SCIENTOMETRICS, 1999, 45 (03) : 533 - 542
  • [22] Revisiting Meta-evaluation for Grammatical Error Correction
    Kobayashi, Masamune
    Mita, Masato
    Komachi, Mamoru
    [J]. TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 2024, 12 : 837 - 855
  • [23] Meta-Evaluation for the Evaluation of Environmental Management: Standards and Practices
    Ma, Jing
    Yin, Zhaoyun
    Guo, Zhengbing
    [J]. SUSTAINABILITY, 2021, 13 (05) : 1 - 18
  • [24] Library performance continuum and the imperative of meta-evaluation
    Pinto, Leonor Gaspar
    [J]. PERFORMANCE MEASUREMENT AND METRICS, 2014, 15 (03) : 86 - 98
  • [25] The social context of performance appraisal and appraisal reactions: A meta-analysis
    Pichler, Shaun
    [J]. HUMAN RESOURCE MANAGEMENT, 2012, 51 (05) : 709 - 732
  • [26] A meta-evaluation of the quality of reporting and execution in ecological meta-analyses
    Pappalardo, Paula
    Song, Chao
    Hungate, Bruce A.
    Osenberg, Craig W.
    [J]. PLOS ONE, 2023, 18 (10):
  • [27] Meta-Evaluation and Quality Standard of the Final Evaluation Report
    Seberova, Alena
    Malcik, Martin
    [J]. NEW EDUCATIONAL REVIEW, 2010, 22 (3-4): : 149 - 164
  • [28] POLICY EVALUATION AND META-EVALUATION - THE CASE OF RURAL COOPERATIVES
    APTHORPE, R
    GASPER, D
    [J]. WORLD DEVELOPMENT, 1982, 10 (08) : 651 - 668
  • [29] The 3-min appraisal of a meta-analysis
    Hussain, Nasir
    Bookwala, Ammar
    Sancheti, Parag
    Bhandari, Mohit
    [J]. INDIAN JOURNAL OF ORTHOPAEDICS, 2011, 45 (01) : 4 - 5
  • [30] Age effects and health appraisal: A meta-analysis
    Roberts, G
    [J]. JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 1999, 54 (01): : S24 - S30