Literature DB >> 33271179

Post-operative Pain: An Analysis on Evolution of Research in Half-Century.

Ali Nosrat1, Omid Dianat2, Prashant Verma3, Donald R Nixdorf4, Alan S Law5.   

Abstract

INTRODUCTION: Examining the evolution of research parameters helps scientists to discover the well-developed and the neglected aspects of knowledge. Pain after root canal treatment is a health problem affecting millions of patients. Research in this field has a meaningful impact on quality of lives. The aim of this study was to analyze the evolution of research on post-operative pain over the past 50 years.
METHODS: Electronic searches were performed in Scopus and MEDLINE databases to identify studies on pain after non-surgical root canal treatments/retreatments. The full texts of eligible articles were reviewed to determine the study category, and to extract and analyze the methodological variables. A series of statistical analyses were performed to determine the trend of publications based on variable of interest overtime.
RESULTS: 424 articles were included. There was a positive trend for systematic reviews, studies with sample size <200, studies on single-visit treatment, and clinical trials on instrumentation and adjunct treatments (P<0.05). There was a negative trend for use of numeric rating scales, studies on multiple-visit treatments, clinical trials on medication/medicament, and studies on pain in maxillary incisors (P<0.05). No trend was observed based on pulpal diagnosis or for studies with longer observation periods (>8 weeks) (P>0.05).
CONCLUSIONS: A paradigm shift is needed towards clinical studies with larger sample sizes, longer observation periods, and more focus on pulpal diagnoses associated with higher rates of post-operative pain. There is a need to view post-operative pain as an important patient-centered outcome, and to develop and disseminate standard reporting guidelines for future studies.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Big data analytics; endodontics; evolution; human; pain; science; trend

Year:  2020        PMID: 33271179     DOI: 10.1016/j.joen.2020.11.021

Source DB:  PubMed          Journal:  J Endod        ISSN: 0099-2399            Impact factor:   4.171


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