Question · asked by 1 review

Fluorescence camera (FC) vs Reference standard: More advanced caries lesion detection

Population
Primary teeth with occlusal surfaces
Intervention
Fluorescence camera (FC)
Comparison
Reference standard
Outcome
More advanced caries lesion detection

Pooled specificity was reported, but the numerical estimate is not stated in the supplied text or attached figures; I²=80%; no GRADE rating was reported.

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Fluorescence camera (FC) vs Reference standard
More advanced caries lesion detection · Primary teeth with occlusal surfaces · More advanced caries lesion threshold, Laboratory or clinical setting, FC, occlusal, primary teeth
Pooled specificity was reported, but the numerical estimate is not stated in the supplied text or attached figures; I²=80%; no GRADE rating was reported.
Fluorescence-based methods for detecting caries lesions: systematic review, meta-analysis and sources of… (2013) All outcomes
Specificity 0.898 [0.867, 0.924]2 studiesGRADE not reported
Fluorescence camera (FC) vs Reference standard
More advanced caries lesion detection · Primary teeth with occlusal surfaces · More advanced caries lesion threshold, Laboratory or clinical setting, FC, occlusal, primary teeth
Pooled sensitivity was reported, but the numerical estimate is not stated in the supplied text or attached figures; I²=80%; no GRADE rating was reported.
Fluorescence-based methods for detecting caries lesions: systematic review, meta-analysis and sources of… (2013) All outcomes
Sensitivity 0.850 [0.702, 0.943]2 studiesGRADE not reported

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Fluorescence-based methods for detecting caries lesions: systematic review, meta-analysis and sources of heterogeneity.
2013 All outcomes
19 June 201275Not applicable

The same intervention and outcome, asked in another population or against another comparator.

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.