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Matthew J. Page

Researcher at Monash University

Publications -  165
Citations -  48068

Matthew J. Page is an academic researcher from Monash University. The author has contributed to research in topics: Systematic review & Medicine. The author has an hindex of 43, co-authored 128 publications receiving 12149 citations. Previous affiliations of Matthew J. Page include University of Bristol & Monash University, Clayton campus.

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Systematic reviewers' perspectives on replication of systematic reviews: A survey

TL;DR: In this paper , the authors of systematic reviews (SRs) were surveyed to explore their perspectives on the importance of replication, incentives and barriers to conducting SR replication, and a checklist to guide when to replicate an SR.
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Protocol for a meta-research study of protocols for diet or nutrition-related trials published in indexed journals: general aspects of study design, rationale and reporting limitations

TL;DR: In this article , the authors conducted a meta-research study of RCT protocols published in journals indexed in at least one of six selected databases between 2012 and 2022, using a search strategy designed to identify protocols of diet or nutrition-related RCTs.
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Efficacy of corticosteroids for hand osteoarthritis - a systematic review and meta-analysis of randomized controlled trials

TL;DR: In this paper , the authors examined the efficacy of corticosteroids on symptoms and structural outcomes in hand osteoarthritis and found no significant effect on any outcomes over longer term (3-12 months) off treatment.
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Tool to assess risk of bias due to missing evidence in network meta-analysis (ROB-MEN): elaboration and examples

TL;DR: In this article, the authors present a tool to assess the risk of bias due to missing evidence in network meta-analysis (ROB-MEN) by expanding the methods previously developed for pairwise meta analysis (Rob-ME, http://www.riskofbias.info).
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Bridging the muscle genome to phenome across multiple biological scales.

TL;DR: The results demonstrate that the individual gene, protein, and whole fiber characteristics do not directly reflect overall muscle performance but that intricate fine-tuning across scales shapes specialized muscle function.