Identifying and addressing conflicting results across multiple discordant systematic reviews on the same question: protocol for a replication study of the Jadad algorithm
Jacqueline Thompson,
Andrea C Tricco,
Dawid Pieper,
Salmaan Kanji,
Yuan Chi,
Sera Whitelaw,
Carole Lunny,
Emma Reid,
Sai Surabi Thirugnanasampanthar,
Nicola Ferri,
Pierre Thabet,
Sara Tasnim,
Harrison Nelson,
Jia He (Janet) Zhang,
Banveer Kalkat,
Reema Abdoulrezzak,
Di Wen (Wendy) Zheng,
Lindy Pangka,
Dian (Xin Ran) Wang,
Parisa Safavi,
Anmol Sooch,
Kevin Kang
Affiliations
Jacqueline Thompson
University of Birmingham Institute of Applied Health Research, Birmingham, UK
Andrea C Tricco
Knowledge Translation Program, Li Ka Shing Knowledge Institute, St Michael`s Hospital, Toronto, Ontario, Canada
Dawid Pieper
8 Institute for Health Services and Health System Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Neuruppin, Brandenburg, Germany
Salmaan Kanji
9 Department of Pharmacy, Ottawa Hospital, Ottawa, Ontario, Canada
Yuan Chi
5 Yealth Network, Beijing Health Technology Co., Ltd, Beijing, China
Sera Whitelaw
Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
Carole Lunny
1 Knowledge Translation Program, Li Ka Shing Knowledge Institute, UBC, Toronto, Ontario, Canada
Emma Reid
West Suffolk Hospital
Sai Surabi Thirugnanasampanthar
Epidemiology Division and Institute for Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
Nicola Ferri
6 Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
Pierre Thabet
School of Pharmaceutical Sciences University of Ottawa, Hôpital Montfort, Ottawa, ON, Canada
Sara Tasnim
Anesthesiology, Pharmacology & Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
Harrison Nelson
Queen`s University Faculty of Health Sciences, Kingston, Ontario, Canada
Jia He (Janet) Zhang
7 Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada
Banveer Kalkat
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Reema Abdoulrezzak
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Di Wen (Wendy) Zheng
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Lindy Pangka
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Dian (Xin Ran) Wang
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Parisa Safavi
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Anmol Sooch
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Kevin Kang
Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
Introduction An increasing growth of systematic reviews (SRs) presents notable challenges for decision-makers seeking to answer clinical questions. In 1997, an algorithm was created by Jadad to assess discordance in results across SRs on the same question. Our study aims to (1) replicate assessments done in a sample of studies using the Jadad algorithm to determine if the same SR would have been chosen, (2) evaluate the Jadad algorithm in terms of utility, efficiency and comprehensiveness, and (3) describe how authors address discordance in results across multiple SRs.Methods and analysis We will use a database of 1218 overviews (2000–2020) created from a bibliometric study as the basis of our search for studies assessing discordance (called discordant reviews). This bibliometric study searched MEDLINE (Ovid), Epistemonikos and Cochrane Database of Systematic Reviews for overviews. We will include any study using Jadad (1997) or another method to assess discordance. The first 30 studies screened at the full-text stage by two independent reviewers will be included. We will replicate the authors’ Jadad assessments. We will compare our outcomes qualitatively and evaluate the differences between our Jadad assessment of discordance and the authors’ assessment.Ethics and dissemination No ethics approval was required as no human subjects were involved. In addition to publishing in an open-access journal, we will disseminate evidence summaries through formal and informal conferences, academic websites, and across social media platforms. This is the first study to comprehensively evaluate and replicate Jadad algorithm assessments of discordance across multiple SRs.