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Published on: January 16, 2019
Risk of bias for randomized controlled trials in Journal of Clinical Monitoring and Computing
Jeong Min Sung1, Ji Yoon Kim1, Bo Seok Kwon1
1Department of Anesthesiology and Pain Medicine, College of Medicine, Hanyang University Hospital, 222-1, Wangsimni-ro, 04763, Seongdonggu, Seoul, Republic of Korea.
Randomized controlled trials (RCTs) reporting quality in the Journal of Clinical Monitoring and Computing (JCMC) has improved over time. Recent JCMC RCTs demonstrate high reporting quality, enhancing evidence-based medicine.
Area of Science:
- Medical research methodology
- Clinical trial reporting standards
- Evidence-based medicine
Background:
- Randomized controlled trials (RCTs) are crucial for evidence-based medicine, but biases in their design, conduct, and reporting can impede interpretation.
- Evaluating the quality of RCT reporting is essential for assessing the reliability of medical evidence.
Purpose of the Study:
- To assess the quality of RCT reporting in the Journal of Clinical Monitoring and Computing (JCMC).
- To identify trends in reporting quality over time and factors influencing it.
Main Methods:
- A systematic review of RCTs published in JCMC up to December 31, 2020.
- Utilized Jadad and van Tulder scales, and the Cochrane Collaboration's risk of bias tool (CCRBT) for quality assessment.
- Employed stepwise regression analysis to determine factors associated with reporting quality.
Main Results:
- Out of 1,507 articles, 132 were identified as RCTs.
- High reporting quality was met by 73.5% (Jadad), 75.0% (van Tulder), and 14.4% (CCRBT).
- Jadad, van Tulder, and CCRBT scores significantly increased with publication year, indicating improved reporting quality over time. Recent RCTs showed higher scores, though detailed blinding and allocation methods were described in only 33.3% and 37.1% of articles, respectively.
Conclusions:
- RCT reporting quality in JCMC has shown a positive trend, increasing significantly over the years.
- Recently published RCTs in JCMC exhibit consistently high reporting quality, supporting their use in medical decision-making.
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