A PRISMA assessment of reporting the quality of published dental systematic reviews in Iran, up to ۲۰۱۷
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 64
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JOHOE-7-4_007
تاریخ نمایه سازی: 17 مرداد 1403
Abstract:
BACKGROUND AND AIM: Proper scientific reporting is necessary to ensure correct interpretation of study results by readers. Systematic reviews (SRs) are of critical importance in evidence-based dentistry. This study assessed the reporting quality of published dental SRs in Iran.METHODS: The PubMed and ISI electronic databases were searched to collect published Iranian dental SRs up to the end of ۲۰۱۶. A ۱۷-item checklist, based on the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) Statement, was used to analyze the completeness of SRs reporting.RESULTS: ۴۲ SRs were included in this study. The majority were published in the two fields of endodontics and oral and maxillofacial surgery (۳۸.۰%). The mean overall reporting quality score was ۱۸.۴۸ ± ۵.۰۳ out of ۳۰ for meta-analyses and ۲۴ for SRs. Inadequate reporting of PICO question (Problem/Patient/Population, Intervention/Indicator, Comparison, Outcome) (۷۳.۸%), level of strength (۵۷.۱%), and financial supporter (۵۲.۴%) were observed.CONCLUSION: The results of this study suggest that the reporting quality of Iranian dental SRs should be further improved.
Keywords:
Authors
Nader Navabi
Associate Professor, Oral and Dental Diseases Research Center AND Kerman Social Determinants on Oral Health Research Center, Kerman University of Medical Sciences, Kerman, Iran
Arash Shahravan
Professor, Department of Endodontics, School of Dentistry, Kerman University of Medical Sciences, Kerman, Iran
Ehsan Haj-Esmaeilzadeh
Dentist, Private Practice, Kerman, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :