4.5 Article

Visual and radiographic caries detection: a tailored meta-analysis for two different settings, Egypt and Germany

期刊

BMC ORAL HEALTH
卷 18, 期 -, 页码 -

出版社

BIOMED CENTRAL LTD
DOI: 10.1186/s12903-018-0561-z

关键词

Caries detection; Decision making; Diagnostic accuracy studies; Evidence-based dentistry; Medical informatics

资金

  1. Medical Research Council Clinician Scientist's award [MR/N007999/1]
  2. MRC [G0701649, MR/N007999/1] Funding Source: UKRI

向作者/读者索取更多资源

Background: Diagnostic meta-analyses on caries detection methods should assist practitioners in their daily practice. However, conventional meta-analysis estimates may be inapplicable due to differences in test conduct, applied thresholds and assessed population between settings. Our aim was to demonstrate the impact of tailored meta-analysis of visual and radiographic caries detection to different settings using setting-specific routine data. Methods: Published systematic reviews and meta-analyses on the accuracy of visual and radiographic caries detection were used. In two settings (a private practice in Germany and a public health clinic in Egypt), routine data of a total of 100 (n = 50/practice) consecutive 12-14 year-olds were collected. Test-positive rates of visual and radiographic detection for initial and advanced carious lesions on occlusal or proximal surfaces of molars were used to tailor meta-analyses. If prevalence data were available, these were also used for tailoring. Results: From the original reviews, 210 and 100 heterogeneous studies on visual and radiographic caries detection were included in our meta-analyses. For radiographic detection, sensitivity and specificity estimates derived from conventional and tailored meta-analysis were similar. For visual detection of advanced occlusal carious lesions, the conventional meta-analysis yielded a sensitivity and specificity (95% CI) of 64.6% (57-71) and 90.9% (88-93), whereas the tailored estimates for Egypt were 75.1% (70-81) and 84.9% (82-89), respectively, and 43.7% (37-51) and 96.5% (95-97) for Germany, respectively. Conclusion: Conventional test accuracy meta-analyses may yield aggregate estimates which are inapplicable to specific settings. Routine data may be used to produce a meta-analysis estimate which is tailored to the setting and thereby improving its applicability.

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