Standardizing Methodologies in Prosthodontics to Improve Research Reliability and Peer Review Efficiency: A Perspective-Based Proposal

Significant variability in research methodologies within prosthodontics limits the comparability of findings and reduces the strength of evidence-based conclusions. The establishment of a Prosthodontic Research Methodology Council (PRMC) is proposed to develop standardized, consensus-based methodological frameworks aimed at improving research reliability and peer review efficiency.

Limitations in current prosthodontic research designs and methodological inconsistencies were reviewed through a narrative search of PubMed, Scopus, and Web of Science using keywords related to prosthodontic research methodology, standardization, and systematic reviews/meta-analyses. Relevant meta-research studies and consensus-based initiatives in dentistry and medicine, including CONSORT, PRISMA, and STROBE frameworks, were analyzed. Insights from these initiatives were used to conceptualize the PRMC structure, governance, and phased implementation strategy, incorporating Delphi consensus methods for harmonizing research protocols.

The proposed PRMC model consists of a multidisciplinary expert consortium representing academia, clinical practice, industry, and journal editorial boards. A four-phase implementation plan is outlined: (1) formation of a steering committee and identification of priority research areas, (2) development of consensus-based methodological guidelines, (3) pilot implementation of pre-study methodological reviews in selected journals, and (4) widespread adoption across international research networks. Expected outcomes include enhanced reproducibility, improved comparability of findings, reduced heterogeneity in systematic reviews, and greater efficiency in peer review processes.

The PRMC framework provides a structured approach to address methodological variability in prosthodontics. Through harmonized study designs and strengthened international collaboration, this initiative is expected to improve the reliability of research outcomes and facilitate the integration of high-quality evidence into clinical practice.