bioRxivScientific Communication & EducationPreprint
An index of the quality of evidence in meta-analysis of randomized controlled trials
Abstract
The quality of evidence in meta-analysis of randomized controlled trials is the degree to which the estimated effect represents the \"truth.\" Current approaches to assessing the quality of evidence focus on trial design and methods. I describe a new quality of evidence index composed of four sub-indexes that measure pre-registration, independent replication, data availability, and trial design and methods, respectively. This index is systematic, objective, and quantitative. I illustrate the index with an empirical example and provide a spreadsheet for easy calculation.\n\nO_QD\"...when you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind.\"\n\n-Lord Kelvin (William Thompson), 1824-1907\n\nC_QD
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Statistical Quality Scale 6 (SQS-6)
José Fausto de Morais, Gecilmar Pereira Borges, Gilmar Fernandes do Prado·bioRxiv·Nov 25, 2016
- What difference do retractions make? An estimate of the epistemic impact of retractions on recent meta-analyses.
D. Fanelli, D. Moher·bioRxiv·Aug 13, 2019
- We need to talk about reliability: Making better use of test retest studies for study design and interpretation
Granville James Matheson·PeerJPeer-reviewed·May 24, 2019
- The impact factor fallacy
F. M. Paulus, N. Cruz, S. Krach·bioRxiv·Nov 15, 2017
- Reliable extraction of clinical-trial evidence with provenance, verification, and targeted review
Gaurav Najpande, Prasham Titiya, … Vivek Gupta·bioRxiv·Oct 8, 2026
- Estimating the statistical performance of different approaches to meta-analysis of data from animal studies in identifying the impact of aspects of study design
Qianying Wang, Jing Liao, … Malcolm Robert Macleod·bioRxiv·Jan 30, 2018