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. 2022 Nov 1;27(6):e550-e559.
doi: 10.4317/medoral.25494.

CONSORT compliance in randomized surgical trials assessing the analgesic and anti-inflammatory effectiveness of preoperative drug management of patients undergoing mandibular third molar surgery: a scoping review

E-L Cetira-Filho  1 , A-F Vieira, P-H Sales, P-G Silva, F-W Costa
Affiliations

CONSORT compliance in randomized surgical trials assessing the analgesic and anti-inflammatory effectiveness of preoperative drug management of patients undergoing mandibular third molar surgery: a scoping review

E-L Cetira-Filho et al. Med Oral Patol Oral Cir Bucal. .

Abstract

Background: Investigate methodological quality of clinical trials in mandibular third molar surgery and its compliance with the consort statement.

Material and methods: An electronic search was performed in five journal websites, chose the five scientific journals with the greatest impact factor in oral and maxillofacial surgery according to the SCImago Journal Rank. The compliance of studies with the CONSORT statement was assessed. Also, the risk of bias of each study was evaluated.

Results: Twenty-nine studies were included. The average CONSORT compliance score was 25.50 (79.68%). Most studies were performed in the Americas (n = 14, 48.3%) and Asia (n = 10, 34.5%). Parallel-group (n=15, 51.7%) and split-mouth RCTs (n=11, 38%) were the most prevalent study design. An inverse correlation was observed between the year of publication and the number of Scopus citations (p<0.001), time between acceptance and publication (p<0.001), and time between study completion and publication (p=0.040).

Conclusions: Understanding the correct use of guidelines, such as the CONSORT statement, is necessary to reduce methodological errors and possible bias, thereby ensuring reliable knowledge dissemination.

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Conflict of interest statement

Conflicts of interest None of the authors of the manuscript has any conflict of interest related to this study.

Figures

Figure 1
Figure 1
Flowchart of the study selection process.
Figure 2
Figure 2
Risk of bias using the JBI tool.
See this image and copyright information in PMC

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