Knowledge of correct prescription of radiographs among dentists in Yazd, Iran
Fatemeh Ezoddini Ardakani; Vahid Sarayesh · 2008 · Journal of Dental Research, Dental Clinics, Dental Prospects
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background and aims. While the use of X-ray is increasing, professional responsibility of dentists entitles them to have sufficient and correct knowledge of using radiographs. The aim of this study was to assess the level of knowledge of correct prescription of radiographs among dentists in Yazd, Iran. Materials and methods. This was a descriptive cross-sectional study including 134 general dentists and dental specialists. A self-administered questionnaire was used to assess their level of knowledge in various sections pertaining to prescription of radiographs. Their level of knowledge was com
Abstract by Fatemeh Ezoddini Ardakani; Vahid Sarayesh, Journal of Dental Research, Dental Clinics, Dental Prospects (2008) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Accuracy of four intraoral scanners in oral implantology: a comparative in vitro study
Negative / Null Result ReportBioactivity evaluation of three calcium silicate‐based endodontic materials
Negative / Null Result ReportIncidence of impacted mandibular and maxillary third molars-a radiographic study in a Southeast Iran population
Negative / Null Result ReportAnti‐infective therapy of peri‐implantitis with adjunctive local drug delivery or photodynamic therapy: 12‐month outcomes of a randomized controlled clinical trial
Negative / Null Result ReportExploring the genetic basis of chronic periodontitis: a genome-wide association study
Negative / Null Result ReportIn Vitro Biofilm Formation on Titanium and Zirconia Implant Surfaces
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ