Jun 18, 2020
Quality of COVID-19 research in preprints: a meta-epidemiological study protocol
- Yuki Kataoka1,
- Shiho Oide2,
- Takashi Ariie3,
- Yasushi Tsujimoto4,
- Toshi A. Furukawa5
- 1Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital;
- 2Department of Gynecology, Women’s center, Yotsuya Medical Cube;
- 3Department of Physical Therapy, School of Health Sciences at Fukuoka, International University of Health and Welfare;
- 4Department of Nephrology and Dialysis, Kyoritsu Hospital;
- 5Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health
Protocol Citation: Yuki Kataoka, Shiho Oide, Takashi Ariie, Yasushi Tsujimoto, Toshi A. Furukawa 2020. Quality of COVID-19 research in preprints: a meta-epidemiological study protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.bhm8j49w
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: June 18, 2020
Last Modified: June 18, 2020
Protocol Integer ID: 38304
Abstract
Background:
No studies have comprehensively assessed the quality of studies related to COVID-19 in preprints [11]. Hence, we will conduct a meta-epidemiological study based on the following research question: Are the quality of COVID-19 RCT and SR articles in medRxiv lower than those indexed in PubMed?
Methods:
We will conduct a meta-epidemiological cross-sectional study. We will include randomized controlled trial articles and systematic review articles indexed in PubMed or MedRxiv from 1st January to 15th June 2020. We will include articles of COVID-19 patients or healthcare workers engaged in the care of COVID-19 patients. We will exclude study protocols. We will evaluate the characteristics of included studies, methodological quality, number of mentions on social networking sites (SNS), and citations. We will use chi-squared test, logistic regression analysis, and linear regression analysis as appropriate. Two-tailed p values will be considered statistically significant if less than 0.05.
Ethical consideration:
We will only use openly available data. There is no need to make ethical considerations.
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