Authors' rebuttal to Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools"

被引:1
作者
Eick, Stephanie M. [1 ]
Goin, Dana E. [2 ]
Lam, Juleen [2 ,3 ]
Woodruff, Tracey J. [2 ]
Chartres, Nicholas [2 ]
机构
[1] Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA 30322 USA
[2] Univ Calif San Francisco, Dept Obstet Gynecol & Reprod Sci, Program Reprod Hlth & Environm, San Francisco, CA 94110 USA
[3] Calif State Univ Hayward, Dept Publ Hlth, Hayward, CA 94542 USA
关键词
Risk of bias; Systematic review; Risk assessment; QUALITY; TRIALS;
D O I
10.1186/s13643-022-01894-8
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
This letter responds to the US Environmental Protection Agency's Integrated Risk Information System (IRIS) program letter by Radke et al. (2021) that was published in response to the application of the IRIS risk of bias tool in our recent study "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools." Their letter stated that we misrepresented the IRIS approach. Here, we respond to their three points raised and how we did not misrepresent their tool and also identified areas for improvement: (1) why it should be expected that different reviewers could reach different conclusions with the IRIS tool, as ratings are subject to reviewer judgment; (2) why our interpretation that"low"or"uninformative"studies could be excluded from a body of evidence was reasonable; and (3) why we believe the use of a rating system that generates an overall rating based on an individual domain or a combination of identified deficiencies essentially acts as a score and assumes that we know empirically how much each risk of bias domain should contribute to the overall rating for that study. We have elaborated on these points in our letter.
引用
收藏
页数:4
相关论文
共 9 条
[1]   Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools [J].
Eick, Stephanie M. ;
Goin, Dana E. ;
Chartres, Nicholas ;
Lam, Juleen ;
Woodruff, Tracey J. .
SYSTEMATIC REVIEWS, 2020, 9 (01)
[2]   Adjustment of meta-analyses on the basis of quality scores should be abandoned [J].
Herbison, Peter ;
Hay-Smith, Jean ;
Gillespie, William J. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2006, 59 (12) :1249-1256
[3]   The hazards of scoring the quality of clinical trials for meta-analysis [J].
Jüni, P ;
Witschi, A ;
Bloch, R ;
Egger, M .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1999, 282 (11) :1054-1060
[4]   Developmental PBDE Exposure and IQ/ADHD in Childhood: A Systematic Review and Meta-analysis [J].
Lam, Juleen ;
Lanphear, Bruce P. ;
Bellinger, David ;
Axelrad, Daniel A. ;
McPartland, Jennifer ;
Sutton, Patrice ;
Davidson, Lisette ;
Daniels, Natalyn ;
Sen, Saunak ;
Woodruff, Tracey J. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2017, 125 (08)
[5]  
National Academies of Science Engineering and Medicine, 2021, US SYST REV EPA TOX
[6]   Empirical Evidence of Study Design Biases in Randomized Trials: Systematic Review of Meta-Epidemiological Studies [J].
Page, Matthew J. ;
Higgins, Julian P. T. ;
Clayton, Gemma ;
Sterne, Jonathan A. C. ;
Hrobjartsson, Asbjorn ;
Savovic, Jelena .
PLOS ONE, 2016, 11 (07)
[7]   Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools" [J].
Radke, Elizabeth G. ;
Glenn, Barbara S. ;
Kraft, Andrew D. .
SYSTEMATIC REVIEWS, 2021, 10 (01)
[8]  
U.S. Environmental Protection Agency, 2020, ORD STAFF HDB DEV IR
[9]   Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes:: meta-epidemiological study [J].
Wood, Lesley ;
Egger, Matthias ;
Gluud, Lise Lotte ;
Schulz, Kenneth F. ;
Jueni, Peter ;
Altman, Douglas G. ;
Gluud, Christian ;
Martin, Richard M. ;
Wood, Anthony J. G. ;
Sterne, Jonathan A. C. .
BMJ-BRITISH MEDICAL JOURNAL, 2008, 336 (7644) :601-605