Literature DB >> 25084633

Forest plots.

Arianne P Verhagen1, Manuela L Ferreira2.   

Abstract

Forest plots are frequently used in meta-analysis to present the results graphically. Without specific knowledge of statistics, a visual assessment of heterogeneity appears to be valid and reproducible. Possible causes of heterogeneity can be explored in modified forest plots. Forest plots in meta-analyses appear to be a valid and useful tool to quickly and efficiently scan and interpret the evidence. The expression ‘a picture is worth a thousand words’ certainly expresses the value of forest plots.

Mesh：

Year:  2014        PMID： 25084633     DOI： 10.1016/j.jphys.2014.06.021

Source DB:  PubMed          Journal:  J Physiother        ISSN： 1836-9561            Impact factor:   7.000


  3 in total

Review 1.  Shexiang Baoxin Pills for Coronary Heart Disease in Animal Models: Preclinical Evidence and Promoting Angiogenesis Mechanism.

Authors:  Ke-Jian Zhang; Jia-Zhen Zhu; Xiao-Yi Bao; Qun Zheng; Guo-Qing Zheng; Yan Wang
Journal:  Front Pharmacol       Date:  2017-06-28       Impact factor: 5.810

2.  Trends in the prevalence of metabolic syndrome and its components in South Korea: Findings from the Korean National Health Insurance Service Database (2009-2013).

Authors:  Seung Eun Lee; Kyungdo Han; Yu Mi Kang; Seon-Ok Kim; Yun Kyung Cho; Kyung Soo Ko; Joong-Yeol Park; Ki-Up Lee; Eun Hee Koh
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

3.  Caesarean delivery and its association with educational attainment, wealth index, and place of residence in Sub-Saharan Africa: a meta-analysis.

Authors:  Andre M N Renzaho; Sheikh Mohammed Shariful Islam; Md Akhtarul Islam; Nusrat Jahan Sathi; Md Tanvir Hossain; Abdul Jabbar
Journal:  Sci Rep       Date:  2022-04-01       Impact factor: 4.379
  3 in total

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