Most recommended medical interventions reach P < 0.005 for their primary outcomes in meta-analyses

Author:

Koletsi Despina12,Solmi Marco34,Pandis Nikolaos5,Fleming Padhraig S6,Correll Christoph U78910,Ioannidis John P A1112131415

Affiliation:

1. Department of Orthodontics, School of Dentistry, National and Kapodistrian University of Athens, Athens, Greece

2. Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Zurich, Switzerland

3. Department of Neuroscience, University of Padua, Padua, Italy

4. Padua Neuroscience Center, University of Padua, Padua, Italy

5. Department of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, Medical Faculty, University of Bern, Bern, Switzerland

6. Department of Oral Bioengineering, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK

7. Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA

8. Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA

9. The Feinstein Institute for Medical Research, Center for Psychiatric Neuroscience, Manhasset, NY, USA

10. Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany

11. Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA

12. Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA

13. Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA

14. Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA

15. Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA

Abstract

Abstract Background It has been proposed that the threshold of statistical significance should shift from P-value &lt; 0.05 to P-value &lt; 0.005, but there is concern that this move may dismiss effective, useful interventions. We aimed to assess how often medical interventions are recommended although their evidence in meta-analyses of randomized trials lies between P-value = 0.05 and P-value = 0.005. Methods We included Cochrane systematic reviews (SRs) published from 1 January 2013 to 30 June 2014 that had at least one meta-analysis with GRADE (Grading of Recommendations Assessment, Development and Evaluation) assessment and at least one primary outcome having favourable results for efficacy at P-value &lt; 0.05. Only comparisons of randomized trials between active versus no treatment/placebo were included. We then assessed the respective UpToDate recommendations for clinical practice from 22 May 2018 to 5 October 2018 and recorded how many treatments were recommended and what were the P-values in their meta-analysis evidence. The primary analysis was based on the first-listed outcomes. Results Of 608 screened SRs with GRADE assessment, 113 SRs were eligible, including 143 comparisons of which 128 comparisons had first-listed primary outcomes with UpToDate coverage. Altogether, 60% (58/97) of interventions with P-values &lt; 0.005 for their evidence were recommended versus 32% (10/31) of those with P-value 0.005–0.05. Therefore, most (58/68, 85.2%) of the recommended interventions had P-values &lt; 0.005 for the first-listed primary outcome. Of the 10 exceptions, 4 had other primary outcomes with P-values &lt; 0.005 and another 4 had additional extensive evidence for similar indications that would allow extrapolation for practice recommendations. Conclusions Few interventions are recommended without their evidence from meta-analyses of randomized trials reaching P-value &lt; 0.005.

Funder

Laura and John Arnold Foundation

Sue and Bob O'Donnell

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

Reference49 articles.

1. Toward evidence-based medical statistics. 1: the P value fallacy;Goodman;Ann Intern Med,1999

2. P value and the theory of hypothesis testing: an explanation for new researchers;Biau;Clin Orthop Relat Res,2010

3. Absence of evidence is not evidence of absence;Altman;BMJ,1995

4. Clinical significance versus statistical significance;Sedgwick;BMJ,2014

5. Lies, damned lies and statistics: clinical importance versus statistical significance in research;Mellis;Paediatr Respir Rev,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3