Literature DB >> 28785887

Quality of Meta-Analyses for Randomized Trials in the Field of Hypertension: an Updated and Improved Systematic Review.

George C Roush1, Fiorella Perez2, Ramy Abdelfattah2, Andrew Prindle2, Elie Jean2, Tanveer Singh3, John B Kostis4, William J Kostis4, William J Elliott5, Jesse A Berlin6.   

Abstract

Publications of hypertension-related meta-analyses (MAs) have increased exponentially in the past 25 years and now average 8/month. Theoretically, this is facilitating evidence-based management of patients. However, some practitioners and authors of guidelines have questioned the quality of published MAs. By extending a prior review, we have assessed the quality of 212 hypertension-related meta-analyses over 5 years based on systematically searching three computerized libraries. Seventeen criteria grouped into four domains of quality yielded the following results: (1) Assessment of trial quality was accomplished in 89% of MAs, and 38% analyzed trials in subgroups of trial quality where appropriate. (2) All three measures of heterogeneity (I 2, tau, and P for heterogeneity) were reported in 36%, reflecting the failure to report tau, the standard deviation of the main effect. (3) Publication bias was assessed in 75%, and 43% of MAs used a statistical test for publication bias. (4) Regarding transparency, 9 to 31% of MAs reported problems in the previous three domains in the article's abstract. Journal impact factor reporting the MAs declined significantly over 5 years. The percent with criteria of quality in a MA was modestly correlated with journal impact factor (R 2 = 0.05, P = 0.001). False-positive results from inappropriate application of the DerSimonian-Laird model affected 25% of articles, which reported these false positives in the article's abstract in 72%. No more than 25% of MAs had 67% or more of the criteria of quality. In conclusion, skepticism of hypertension-related MAs is justified, but their quality can be readily corrected.

Entities:  

Keywords:  Blood pressure; Hypertension; Meta-analysis as topic; Randomized controlled trials (publication type); Review (publication type); Systematic review

Mesh:

Year:  2017        PMID: 28785887     DOI: 10.1007/s11906-017-0765-7

Source DB:  PubMed          Journal:  Curr Hypertens Rep        ISSN: 1522-6417            Impact factor:   5.369


  25 in total

1.  A new system for grading recommendations in evidence based guidelines.

Authors:  R Harbour; J Miller
Journal:  BMJ       Date:  2001-08-11

2.  Relative citation impact of various study designs in the health sciences.

Authors:  Nikolaos A Patsopoulos; Apostolos A Analatos; John P A Ioannidis
Journal:  JAMA       Date:  2005-05-18       Impact factor: 56.272

3.  In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias.

Authors:  Norma Terrin; Christopher H Schmid; Joseph Lau
Journal:  J Clin Epidemiol       Date:  2005-09       Impact factor: 6.437

Review 4.  A practical guide to meta-analysis.

Authors:  Kevin C Chung; Patricia B Burns; H Myra Kim
Journal:  J Hand Surg Am       Date:  2006-12       Impact factor: 2.230

5.  Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study.

Authors:  Lesley Wood; Matthias Egger; Lise Lotte Gluud; Kenneth F Schulz; Peter Jüni; Douglas G Altman; Christian Gluud; Richard M Martin; Anthony J G Wood; Jonathan A C Sterne
Journal:  BMJ       Date:  2008-03-03

6.  Hypertension: meta-analyses: first-rank evidence or second-hand information?

Authors:  Alberto Zanchetti
Journal:  Nat Rev Cardiol       Date:  2011-05       Impact factor: 32.419

7.  Basics of meta-analysis: I2 is not an absolute measure of heterogeneity.

Authors:  Michael Borenstein; Julian P T Higgins; Larry V Hedges; Hannah R Rothstein
Journal:  Res Synth Methods       Date:  2017-01-06       Impact factor: 5.273

Review 8.  Quality of meta-analyses for randomized trials in the field of hypertension: a systematic review.

Authors:  George C Roush; Brigani Amante; Tanveer Singh; Hiwot Ayele; Morakinyo Araoye; Danwen Yang; William J Kostis; William J Elliott; John B Kostis; Jesse A Berlin
Journal:  J Hypertens       Date:  2016-12       Impact factor: 4.844

9.  GRADE guidelines: 5. Rating the quality of evidence--publication bias.

Authors:  Gordon H Guyatt; Andrew D Oxman; Victor Montori; Gunn Vist; Regina Kunz; Jan Brozek; Pablo Alonso-Coello; Ben Djulbegovic; David Atkins; Yngve Falck-Ytter; John W Williams; Joerg Meerpohl; Susan L Norris; Elie A Akl; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2011-07-30       Impact factor: 6.437

10.  Association between analytic strategy and estimates of treatment outcomes in meta-analyses.

Authors:  Agnes Dechartres; Douglas G Altman; Ludovic Trinquart; Isabelle Boutron; Philippe Ravaud
Journal:  JAMA       Date:  2014-08-13       Impact factor: 56.272

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  1 in total

1.  Meta-analyses and blood pressure goals.

Authors:  Staffan Björck; Karin Manhem; Annika Rosengren; Samuel Adamsson Eryd; Soffia Gudbjörnsdottir; Stefan Franzén
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-06-26       Impact factor: 3.738

  1 in total

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