scholarly journals Guidelines for reporting randomized controlled trials in paediatric dentistry based on the CONSORT statement

Author(s):  
Jayakumar Jayaraman
1998 ◽  
Vol 112 (5) ◽  
pp. 460-463 ◽  
Author(s):  
K. W. Ah-See ◽  
N. C. Molony

AbstractIn 1996 the CONSORT statement made recommendations on the strict reporting of randomized controlled trials (RCT). This will facilitate the future assessment of such trials and will highlight those trials that have been performed suboptimally and whose results may be biased.We have devised a scoring system, based on CONSORT, to assess RCT quality and by reading each original paper in full we have now assessed the quality of trials published from 1966 to 1995.The mean score for trials identified was 7.3 out of a maximum 12 points. No one journal was significantly better than the others. Trials in rhinology are reported better than head and neck oncology trials (mean scores 7.6 and 6.5 respectively). The past 30 years has not seen an improvement in the quality of the trials.The reporting of RCTs in the ENT literature is poor. CONSORT guidelines now exist and trialists are encouraged to adopt them when conducting future clinical trials.


2019 ◽  
Vol 45 (4) ◽  
pp. 327-333 ◽  
Author(s):  
Rafael Sarkis-Onofre ◽  
Leonardo Marchini ◽  
Aloísio O. Spazzin ◽  
Mateus B. F. dos Santos

The aim of this study was to evaluate the characteristics of randomized controlled trials (RCTs) regarding implant-supported single tooth or fixed partial dentures. We performed searches (PubMed/MEDLINE and Web of Science) to identify all RCTs published from 1996 to 2016 and assessed publication details, study characteristics, international collaboration networks, and characteristics related to the implant-supported treatment. Two reviewers independently screened the titles/abstracts and selected full texts. A total of 122 RCTs were included, and most of the authors were from Europe (72%). Most trials did not report a trial registering number (89.9%) or sample size calculation (58.2%). The use of the CONSORT Statement increased over the past 9 years. Trials were mostly conducted at universities (54.9%), and only 13.1% compared 2 or more implant brands. Loading protocol was the most prevalent main comparison among the included studies, and most of the RCTs did not clearly report whether they excluded patients with known risk factors. The studies reviewed here presented different methodological and publication characteristics, and many did not show aspects aligned with current research practices.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257093
Author(s):  
Yuhuan Yin ◽  
Fugui Shi ◽  
Yiyin Zhang ◽  
Xiaoli Zhang ◽  
Jianying Ye ◽  
...  

Objective To evaluate the reporting quality of randomized controlled trials (RCTs) regarding patients with COVID-19 and analyse the influence factors. Methods PubMed, Embase, Web of Science and the Cochrane Library databases were searched to collect RCTs regarding patients with COVID-19. The retrieval time was from the inception to December 1, 2020. The CONSORT 2010 statement was used to evaluate the overall reporting quality of these RCTs. Results 53 RCTs were included. The study showed that the average reporting rate for 37 items in CONSORT checklist was 53.85% with mean overall adherence score of 13.02±3.546 (ranged: 7 to 22). The multivariate linear regression analysis showed the overall adherence score to the CONSORT guideline was associated with journal impact factor (P = 0.006), and endorsement of CONSORT statement (P = 0.014). Conclusion Although many RCTs of COVID-19 have been published in different journals, the overall reporting quality of these articles was suboptimal, it can not provide valid evidence for clinical decision-making and systematic reviews. Therefore, more journals should endorse the CONSORT statement, authors should strictly follow the relevant provisions of the CONSORT guideline when reporting articles. Future RCTs should particularly focus on improvement of detailed reporting in allocation concealment, blinding and estimation of sample size.


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