Question · asked by 1 review

Conventional bitewing radiography (D-speed film) vs Histological validation of dental tissues (gold standard): Diagnostic accuracy for proximal caries detection (dentin detection level)

Population
Extracted permanent posterior teeth with proximal surfaces (in vitro)
Intervention
Conventional bitewing radiography (D-speed film)
Comparison
Histological validation of dental tissues (gold standard)
Outcome
Diagnostic accuracy for proximal caries detection (dentin detection level)

Under in vitro conditions, conventional D-speed bitewing radiography had a pooled specificity of 0.99 (95% CI 0.96, 0.999) for proximal caries detection at the dentin detection level; ungraded.

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 4 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Conventional bitewing radiography, D-speed film vs Histological validation of dental tissues (gold standard)
Diagnostic accuracy for proximal caries detection (dentin detection level) · Extracted permanent posterior teeth with proximal surfaces (in vitro) · In vitro (laboratory; extracted teeth); permanent posterior teeth, proximal surfaces, Dentin detection level
Under in vitro conditions, conventional D-speed bitewing radiography had a pooled specificity of 0.99 (95% CI 0.96, 0.999) for proximal caries detection at the dentin detection level; ungraded.
Systematic review and meta-analysis of diagnostic studies of proximal surface caries. (2021) All outcomes
Specificity 0.99 [0.96, 0.999]1 studyGRADE not reported
Conventional bitewing radiography, D-speed film vs Histological validation of dental tissues (gold standard)
Diagnostic accuracy for proximal caries detection (dentin detection level) · Extracted permanent posterior teeth with proximal surfaces (in vitro) · In vitro (laboratory; extracted teeth); permanent posterior teeth, proximal surfaces, Dentin detection level
Under in vitro conditions, conventional D-speed bitewing radiography had a pooled diagnostic odds ratio of 31.0 (95% CI 3.3, 291.3) for proximal caries detection at the dentin detection level; ungraded.
Systematic review and meta-analysis of diagnostic studies of proximal surface caries. (2021) All outcomes
DOR 31.0 [3.3, 291.3]1 studyGRADE not reported
Conventional bitewing radiography, D-speed film vs Histological validation of dental tissues (gold standard)
Diagnostic accuracy for proximal caries detection (dentin detection level) · Extracted permanent posterior teeth with proximal surfaces (in vitro) · In vitro (laboratory; extracted teeth); permanent posterior teeth, proximal surfaces, Dentin detection level
Under in vitro conditions, conventional D-speed bitewing radiography had a pooled sensitivity of 0.17 (95% CI 0.07, 0.40) for proximal caries detection at the dentin detection level; ungraded.
Systematic review and meta-analysis of diagnostic studies of proximal surface caries. (2021) All outcomes
Sensitivity 0.17 [0.07, 0.40]1 studyGRADE not reported
Conventional bitewing radiography, D-speed film vs Histological validation of dental tissues (gold standard)
Diagnostic accuracy for proximal caries detection (dentin detection level) · Extracted permanent posterior teeth with proximal surfaces (in vitro) · In vitro (laboratory; extracted teeth); permanent posterior teeth, proximal surfaces, Dentin detection level
Under in vitro conditions, conventional D-speed bitewing radiography had a summary ROC AUC of 0.91 for proximal caries detection at the dentin detection level; ungraded.
Systematic review and meta-analysis of diagnostic studies of proximal surface caries. (2021) All outcomes
AUC 0.911 studyGRADE not reported

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Systematic review and meta-analysis of diagnostic studies of proximal surface caries.
2021 All outcomes
Up to 31 December 2018 (English-language publications)36Not applicable
How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.